Latest Jobs at NTT Ltd.

Role Overview

• The ServiceNow QA Engineer is a hands-on technical testing role within the NTT DATA ServiceNow Practice, responsible for executing test activities across the full development lifecycle. Working closely with the QA Manager, Business Analysts, and development team, the QA Engineer ensures that all developed functionality is tested thoroughly, accurately, and in line with the quality standards set by the QA Manager and Practice.
• The QA Engineer is an executor — their primary focus is on building and running test cases, contributing to the automated test framework, and providing timely, accurate feedback on quality across sprints and releases. They will cover development from the Practice, ATS, and automations teams, operating as part of the shared QA function.

Key Responsibilities

• Execute functional, regression, integration, and exploratory testing across all ServiceNow development in line with the test plans defined by the QA Manager.
• Write clear, well-structured test cases and test scripts based on user stories and acceptance criteria provided by the Business Analyst.
• Contribute to the development and maintenance of automated test scripts within the ServiceNow ATF (Automated Test Framework), expanding coverage across product domains.
• Execute regression testing ahead of each release and platform upgrade, using the automated test suite to validate platform stability.
• Log, track, and retest defects accurately and in a timely manner, ensuring developers receive clear, reproducible defect reports.
• Support UAT coordination activities — setting up test environments, providing test data, and assisting business stakeholders through test execution.
• Maintain test cases and test scripts in the shared test repository, keeping them up to date as platform changes are made.
• Contribute to quality reporting by providing accurate test execution status, pass/fail rates, and defect metrics to the QA Manager.
• Participate in sprint ceremonies — including backlog grooming and sprint reviews — to ensure testability is considered from story creation through to delivery.

Essential Experience & Skills

• Proven experience in a QA Engineer or software testing role within a ServiceNow or enterprise platform delivery environment.
• Practical experience using ServiceNow ATF (Automated Test Framework) to build and execute automated test scripts.
• Strong skills in writing test cases and test scripts from user stories and acceptance criteria.
• Experience executing functional, regression, and integration testing within an agile delivery environment.
• Ability to write clear, reproducible defect reports and manage defects through to resolution.
• Comfortable working across multiple product domains, picking up context quickly and adapting testing approaches accordingly.

Desirable

• Experience with platform upgrade testing in ServiceNow, including regression test execution during upgrade cycles.
• Familiarity with ISTQB Foundation or equivalent testing qualification.
• Exposure to broader test automation tools or scripting in addition to ServiceNow ATF.
• ServiceNow Certified System Administrator (CSA) or equivalent product knowledge.
• Experience supporting UAT with business stakeholders, including test environment setup and guidance through test execution.

Behaviours & Competencies

• Detail-oriented — takes pride in thorough, accurate test coverage and clear defect reporting.
• Reliable — consistently delivers test outputs on time and to the standard required by the QA Manager.
• Collaborative — works well with developers, BAs, and business stakeholders as part of a wider delivery team.
• Curious — proactively looks for edge cases, gaps in coverage, and quality risks beyond the immediate test plan.
• Continuous improver — actively contributes to building out the automated test suite and raising QA maturity over time.

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Role Overview

• The ServiceNow Business Analyst (ITSM specialism) is a key member of the NTT DATA ServiceNow Practice, embedded within a product domain and working closely with the Product Owner, Delivery Manager, and development team. The role is responsible for gathering, translating, and managing business requirements through the full delivery lifecycle — from stakeholder workshops through to development story creation, testing coordination, and release sign-off.
• The BA acts as the bridge between business stakeholders and technical delivery, ensuring that what is built accurately reflects the outcomes the business needs and aligns to the product roadmap. Although domain-aligned, the BA is part of a shared pool and may support other capability areas when capacity requires.

Key Responsibilities

• Lead and facilitate workshops with business stakeholders to elicit, capture, and validate requirements, ensuring outcomes and objectives are clearly understood before entering the development pipeline.
• Translate business requirements into clearly written, development-ready user stories, acceptance criteria, and process maps in line with the agreed product roadmap.
• Own and maintain the requirements backlog for the product domain, keeping stories refined, prioritised, and ready for sprint intake in collaboration with the Product Owner.
• Support the Sprint Intake Review by ensuring stories are sufficiently detailed and acceptance criteria are agreed before development begins.
• Coordinate and actively participate in functional testing and UAT, validating that developed functionality meets the defined acceptance criteria and business outcome.
• Act as a liaison between the business and QA function to ensure test cases are aligned to requirements and that business stakeholders are engaged in sign-off activities.
• Identify and document scope changes, risks, and dependencies, escalating to the Delivery Manager and Product Owner where appropriate.
• Contribute to Release Readout sessions, supporting communication of what has been delivered and gathering feedback for continuous improvement.
• Maintain clear and accurate requirements documentation throughout the project lifecycle, ensuring traceability from requirement through to delivery.
• Support the ITSM Product Owner in refining the ITSM/ITOM/ITAM/SAM roadmap by providing detailed requirements context for incoming demand.
• Document and optimise IT service management processes — including Incident, Problem, Change, Request, and Asset workflows — ensuring alignment to ServiceNow best practice and ITIL principles.
• Engage with IT operations stakeholders to understand service desk and operations pain points, translating these into platform improvements.

Essential Experience & Skills

• Proven experience as a Business Analyst in an enterprise IT or digital transformation environment.
• Strong skills in requirements elicitation, workshop facilitation, and stakeholder management across multiple levels of seniority.
• Experience writing high-quality user stories and acceptance criteria for agile development teams.
• Ability to coordinate and support testing activities, including defining test scenarios, coordinating UAT, and managing sign-off processes.
• Excellent communication and documentation skills — able to translate complex business needs into clear, actionable requirements.
• Comfortable working in a fast-paced, agile delivery environment with multiple concurrent workstreams.
• Demonstrable experience working on ServiceNow ITSM implementations or enhancements, with a solid understanding of ITSM, ITOM, ITAM, or SAM modules.
• Familiarity with ITIL frameworks and how they translate into ServiceNow configuration.
• Experience engaging with IT operations teams, service desk functions, or technology stakeholders as part of requirements gathering.

Desirable

• ServiceNow Certified System Administrator (CSA) or relevant product certification.
• Experience working in a product-led, platform delivery model.
• Familiarity with Now Create methodology or ServiceNow implementation best practice.
• Experience with Agile tools such as Jira, Azure DevOps, or ServiceNow Agile Development.

Behaviours & Competencies

• Outcome-focused — driven by business value, not just task completion.
• Collaborative — builds trust with business stakeholders and delivery teams alike.
• Detail-oriented — takes pride in the quality and accuracy of requirements and documentation.
• Proactive — surfaces risks, gaps, and opportunities without waiting to be asked.
• Adaptable — comfortable operating in a shared pool model across different capability domains

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Role Overview

• The ServiceNow QA Manager is responsible for defining, embedding, and governing the quality assurance framework across all ServiceNow development delivered within NTT DATA — whether that originates from the ServiceNow Practice, the Business Application Services (ATS) development team, or the automations function. This role acts as the quality gateway across all development streams, ensuring that nothing reaches production without meeting the defined quality and testing standards.
• As a player-manager role in the early stages of the QA function, the QA Manager will be hands-on in testing activities while also building out the function's capability, tooling, and governance. They will establish and own the automated testing framework, maintain the regression test suite, and lead testing governance for all major releases including platform upgrades.

Key Responsibilities

• Define, own, and continuously improve the QA framework, testing standards, and governance processes for all ServiceNow development across the practice.
• Act as the quality gateway for all development — Practice, ATS, and automations — ensuring no release progresses to production without meeting defined quality criteria.
• Build, maintain, and evolve the automated testing framework for the ServiceNow platform, reducing regression test time and increasing release confidence.
• Own and manage the regression test suite, ensuring it remains accurate, up to date, and appropriately scaled as the platform evolves.
• Define and maintain test case standards, test scripts, and test data management across all product domains.
• Lead testing governance for platform upgrades, coordinating A/B testing and regression testing to validate that upgrades do not introduce defects or regression.
• Coordinate and facilitate UAT activities in partnership with Business Analysts and business stakeholders, ensuring clear sign-off criteria are in place and met.
• Produce testing quality metrics and governance reporting for the Practice Lead and relevant governance forums.
• Identify and escalate quality risks, defects, and test failures, working with developers and delivery managers to ensure timely resolution.
• Where the team is small, actively execute testing alongside governance — including functional, regression, integration, and exploratory testing.
• Build and manage the QA Engineer function as the team scales, setting standards, providing mentorship, and reviewing testing output.

Essential Experience & Skills

• Proven experience in a QA Manager or senior QA role within a ServiceNow or enterprise platform delivery environment.
• Hands-on experience with ServiceNow test automation tooling — ATF (Automated Test Framework) is essential.
• Strong understanding of testing methodologies including functional, regression, integration, UAT, and exploratory testing.
• Experience building and maintaining automated test suites and regression test repositories.
• Ability to define and implement quality governance frameworks across multiple development teams and streams.
• Experience coordinating UAT with business stakeholders — including defining acceptance criteria, managing test cycles, and facilitating sign-off.
• Strong communication skills — able to report quality status clearly to both technical and non-technical audiences.

Desirable

• Experience with platform upgrade testing in ServiceNow, including A/B and regression test coordination.
• Familiarity with ISTQB or equivalent testing certification frameworks.
• Experience with broader test automation tools (e.g. Selenium, Tosca, or similar) in addition to ServiceNow ATF.
• Exposure to CI/CD pipelines and automated deployment testing in a ServiceNow context.
• ServiceNow Certified System Administrator (CSA) or product certification.

Behaviours & Competencies

• Quality-driven — sets and upholds high standards, with zero tolerance for releasing untested or poorly tested code.
• Collaborative — works effectively with developers, BAs, Product Owners, and business stakeholders across all teams.
• Influential — able to enforce testing governance across teams that do not report directly to them.
• Pragmatic — balances thorough testing with delivery pace, finding the right level of coverage for each context.
• Growth mindset — actively builds the QA function's capability, tooling, and maturity over time

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Role Overview

• The ServiceNow Business Analyst (HRSD specialism) is a key member of the NTT DATA ServiceNow Practice, embedded within a product domain and working closely with the Product Owner, Delivery Manager, and development team. The role is responsible for gathering, translating, and managing business requirements through the full delivery lifecycle — from stakeholder workshops through to development story creation, testing coordination, and release sign-off.
• The BA acts as the bridge between business stakeholders and technical delivery, ensuring that what is built accurately reflects the outcomes the business needs and aligns to the product roadmap. Although domain-aligned, the BA is part of a shared pool and may support other capability areas when capacity requires.

Key Responsibilities

• Lead and facilitate workshops with business stakeholders to elicit, capture, and validate requirements, ensuring outcomes and objectives are clearly understood before entering the development pipeline.
• Translate business requirements into clearly written, development-ready user stories, acceptance criteria, and process maps in line with the agreed product roadmap.
• Own and maintain the requirements backlog for the product domain, keeping stories refined, prioritised, and ready for sprint intake in collaboration with the Product Owner.
• Support the Sprint Intake Review by ensuring stories are sufficiently detailed and acceptance criteria are agreed before development begins.
• Coordinate and actively participate in functional testing and UAT, validating that developed functionality meets the defined acceptance criteria and business outcome.
• Act as a liaison between the business and QA function to ensure test cases are aligned to requirements and that business stakeholders are engaged in sign-off activities.
• Identify and document scope changes, risks, and dependencies, escalating to the Delivery Manager and Product Owner where appropriate.
• Contribute to Release Readout sessions, supporting communication of what has been delivered and gathering feedback for continuous improvement.
• Maintain clear and accurate requirements documentation throughout the project lifecycle, ensuring traceability from requirement through to delivery.
• Support the HRSD Product Owner in translating People & Culture service requirements into ServiceNow HRSD configuration, including Case Management, Lifecycle Events, Journey Accelerators, and Employee Centre.
• Engage with HR, P&C, and employee experience stakeholders to understand service delivery pain points and desired outcomes, facilitating workshops to gather and validate requirements.
• Ensure HRSD requirements are documented with appropriate sensitivity to employee data, privacy, and HR policy boundaries — maintaining a clear distinction between platform capability and HR process ownership.

Essential Experience & Skills

• Proven experience as a Business Analyst in an enterprise IT or digital transformation environment.
• Strong skills in requirements elicitation, workshop facilitation, and stakeholder management across multiple levels of seniority.
• Experience writing high-quality user stories and acceptance criteria for agile development teams.
• Ability to coordinate and support testing activities, including defining test scenarios, coordinating UAT, and managing sign-off processes.
• Excellent communication and documentation skills — able to translate complex business needs into clear, actionable requirements.
• Comfortable working in a fast-paced, agile delivery environment with multiple concurrent workstreams.
• Demonstrable experience working on ServiceNow HRSD implementations or enhancements, with hands-on familiarity with HRSD modules including Case Management, Lifecycle Events, or Employee Centre Pro.
• Experience working with HR, People & Culture, or employee experience stakeholders — comfortable navigating sensitive HR subject matter.
• Understanding of how HR processes and policies translate into ServiceNow configuration, and where the boundary between platform and process ownership sits.

Desirable

• ServiceNow Certified System Administrator (CSA) or relevant product certification.
• Experience working in a product-led, platform delivery model.
• Familiarity with Now Create methodology or ServiceNow implementation best practice.
• Experience with Agile tools such as Jira, Azure DevOps, or ServiceNow Agile Development.

Behaviours & Competencies

• Outcome-focused — driven by business value, not just task completion.
• Collaborative — builds trust with business stakeholders and delivery teams alike.
• Detail-oriented — takes pride in the quality and accuracy of requirements and documentation.
• Proactive — surfaces risks, gaps, and opportunities without waiting to be asked.
• Adaptable — comfortable operating in a shared pool model across different capability domains.

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Your day at NTT DATA

• The Data Privacy Senior Specialist: AI will report into the Global Data Privacy Centre of Excellence and will be responsible for leading privacy governance, privacy engineering, and compliance oversight for Artificial Intelligence (AI), Generative AI, Machine Learning (ML), automation, analytics, and other emerging technology initiatives across the organization. The successful candidate will work closely with Enterprise Architecture, Security Architecture, Legal, Information Security, Data Governance, Product Engineering, Cloud, Digital Transformation, Procurement, and business stakeholders to ensure that AI-enabled solutions are designed, implemented, and operated in compliance with applicable global data protection laws, AI regulations, industry standards, and NTT DATA, Inc. Group global policies.
• The role requires a highly technical professional capable of reviewing complex architectures, cloud-native solutions, AI platforms, large language model (LLM) deployments, data processing ecosystems, and cross-border data flows to ensure Privacy by Design and Default, and secure data handling principles are embedded from inception through deployment and operational lifecycle. This position will act as a strategic advisor and design authority for privacy matters relating to AI and emerging technologies globally.

Key Responsibilities:

• Act as the lead privacy advisor for AI, Generative AI, Machine Learning, and other emerging technology initiatives globally.
• Review and assess AI use cases in terms of solution architectures, technical designs, cloud deployments, and data processing ecosystems from a privacy and regulatory compliance perspective.
• Partner with Enterprise Architecture and Information Security Architecture teams to establish privacy for AI governance controls and privacy engineering standards.
• Define and maintain privacy architecture patterns, control frameworks, and design requirements for AI-enabled systems and services.
• Assess privacy risks associated with Large Language Models (LLMs), foundation models, model training datasets, prompts, embeddings, vector databases, and AI integrations, amongst others.
• Work with product teams to define appropriate controls to support and enforce the principles of data privacy by default and by design in our business processes, applications, systems, databases, and products, services and solutions.
• Perform privacy assessments of NTT DATA, Inc. Group products and services to ensure that Data Privacy by Design principles and compliance requirements are embedded within client product and service offerings. This includes providing technical advice on privacy control design and implementation, as well as supporting the creation of go-to-market collateral to support bid and sales processes.
• Provide technical guidance on privacy-enhancing technologies (PETs), anonymisation, pseudonymisation, encryption, tokenisation, differential privacy, federated learning, and secure AI design practices in the product development lifecycle, as well as new technology acquisition process.

Knowledge and Attributes:

• Strong understanding of AI technologies, Generative AI, Machine Learning concepts, cloud platforms, APIs, and enterprise architectures.
• Strong understanding of privacy engineering and Privacy by Design principles.
• Ability to assess complex technical architectures and identify privacy, ethical, and regulatory risks.
• Experience engaging with architects, engineers, developers, cybersecurity teams, and executive stakeholders.
• Pragmatic and commercially aware approach to balancing innovation and regulatory compliance.
• Operates with high levels of integrity, accountability, and professionalism.
• Demonstrates accuracy, thoroughness, and high levels of attention to detail.
• Demonstrates a pragmatic and risk-based approach to data privacy and protection.
• Excellent written and verbal communication skills.
• Ability to thrive under pressure, function and deliver effectively in a fast-paced environment.
• Ability to work well in a collaborative and multi-disciplinary team environment.
• Strong stakeholder management skills.
• Broad knowledge of data protection laws and regulations that apply to the organization and how to implement these (preferred).

Academic Qualifications and Certifications:

• Bachelor’s degree or appropriate qualification
• CIPP, CIPM, CIPT, AIGP and/or CDPSE (preferred)

Required experience:

• 5+ years’ experience in Data Privacy, Information Security, Enterprise Architecture, Technology Risk, or related fields.
• Experience reviewing complex enterprise, cloud, or AI architectures.
• Experience advising on AI, analytics, automation, or emerging technologies.
• Strong understanding of cloud-native technologies, SaaS platforms, APIs, data integrations, and modern software delivery practices.
• Experience engaging with cybersecurity, architecture, engineering, and product development teams.
• Experience conducting DPIAs, and AI risk assessments. (preferred).
• Experience working with multinational organisations and global regulatory environments. (preferred).
• Experience in telecommunications, technology, cloud, digital services, or professional services environments (preferred).

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Your day at NTT DATA

• The Data Privacy Specialist reporting to the NTT DATA, Inc. Global Data Privacy Center of Excellence will be responsible for the effective implementation and oversight of the data privacy program in the NTT DATA Global Practice Portfolios.
• The Data Privacy Specialist will work closely with stakeholders across the Global Practice portfolios to ensure that appropriate controls across people, process, and technology are put in place to support compliance with data protection laws and regulations, industry standards and NTT DATA, Inc. Group’s global Data Privacy policies, standards and procedures. 

What are the NTT DATA Global Practices? 

• Within NTT DATA, the Global Practices is the division which is responsible for the development and delivery of NTT DATA’s products and services.

Key Responsibilities:

The Global Practices Portfolio Specialists will work within the Global Practices Privacy team and with the Global Practice portfolio(s) in order to:

• Act as a key point of contact on data privacy matters within Global Practices portfolios.
• Embed NTT DATA, Inc. Group’s Data Privacy policies, procedures, and standards in the regions by working closely with stakeholders from across the Global Practices portfolios and awareness raising.
• Review NTT DATA, Inc. Group’s Data Privacy policies, procedures and standards to ensure that these meet business and legal requirements for data privacy within Global Practices portfolios. Where required, define and document local variations and/or translations to NTT DATA, Inc. Group’s Data Privacy policies, procedures and standards to ensure compliance with local data protection laws and regulations.
• Implement appropriate controls to support and enforce the principles of data privacy by default and by design in our business processes, applications, systems, databases, and products, services and solutions.
• Manage the roll-out and implementation of Data Privacy requirements of new initiatives/projects from the NTT DATA, Inc. Group Global Data Privacy Center of Excellence.
• Work with stakeholders in the business to ensure that the record of processing (including data flows and cross-border data transfers) is documented, accurate, complete, and up to date for all processing activities.
• Work with stakeholders in the business to ensure that the organization has documented clear, specific and accessible privacy notices to inform individuals of the processing of their personal data in accordance with applicable laws and regulations.
• Perform privacy assessments of NTT DATA products and services to ensure that Data Privacy by Design principles and compliance requirements are embedded within client product and service offerings. This includes providing technical advice on privacy control design and implementation, as well as supporting the creation of go-to-market collateral to support bid and sales processes.
• Support and advise the business in its response to RFPs and client questionnaires in respect of the organization’s Data Privacy program, Information Security and Privacy Management System (ISPMS), and Data Privacy controls.
• Support the performance of third-party information security and privacy assessments to ensure that third parties have appropriate controls in place to comply with applicable data protection laws and regulations and NTT DATA, Inc. Group’s Data Privacy policies. This may include periodic third-party audits or assessments. 
• Support legal teams in the negotiation of data processing and sharing agreements with third parties and ensure a third-party register is maintained of all third parties who process personal data on the organization’s behalf.
• Support escalated data subject requests in accordance with applicable data protection laws and regulations and NTT DATA, Inc. Group’s Data Privacy policies and processes.
• Support the response to Data Privacy Incidents in Global Practices portfolios by working with the Data Privacy Incident Manager in accordance with applicable data protection laws and regulations and NTT DATA, Inc. Group’s Data Privacy and Data Privacy Incident Response policies and procedures.
• Respond to any queries, audits or investigations from data protection authorities in consultation with the NTT DATA, Inc. Group Global Data Privacy Center of Excellence and relevant Data Protection Officer.
• Consult and work together with the relevant Data Protection Officer’s to ensure that the organization meets its data privacy obligations.
• Document and assess Data Privacy risks in the business and develop strategies to manage or mitigate them.
• Monitor and report on the implementation and effectiveness of Data Privacy controls across the business, including Data Privacy risks, on a periodic basis.
• Monitor developments in data protection laws and regulations in the region, understand the impact for the organization, advise the business and recommend appropriate mechanisms and controls to support ongoing compliance.
• Document and maintain compliance risk management plans for applicable data protection laws and regulations.
• Monitor and enforce completion of mandatory Data Privacy compliance training in the business and develop and provide dedicated training to the business where training needs or gaps arise.
• Maintain your technical expertise by keeping abreast of developments in Data Privacy, participating in Data Privacy manager training and relevant industry forums and undertaking continual training and development.

Knowledge and Attributes:

• Demonstrates accuracy, thoroughness, and high levels of attention to detail.
• Demonstrates strong analytical skills, including the ability to assess risk and impact from a data privacy and protection perspective.
• Demonstrates a pragmatic and risk-based approach to data privacy and protection.
• Excellent written and verbal communication skills.
• Ability to thrive under pressure, function and deliver effectively in a fast-paced environment.
• Proactive approach with high levels of motivation, being a self-starter with good planning and organizing skills.
• Ability to work well in a collaborative and multi-disciplinary team environment.
• Strong organizational and project management skills, including the ability to manage competing tasks and prioritize effectively.
• Strong stakeholder management skills.
• Firm grasp of data privacy and protection concerns, best practices, and industry standards.
• Broad knowledge of data protection laws and regulations that apply to the organization and how to implement these.
• Operates with a high degree of integrity.

Academic Qualifications and Certifications:

• Bachelor’s degree or appropriate qualification
• CIPP, CIPM, CIPT, AIGP and/or CDPSE (preferred)

Required experience:

• 3+ years’ relevant work experience in data privacy program management, processes, practices, technologies, risk management, audit, and/or compliance.
• Experience in responding to data subject rights requests and personal data breaches.
• Experience in advising on complex data privacy matters with practical advice.
• Experience in risk management activities and practices (preferred).
• Experience in working on compliance projects.
• Experience in telecommunications, technology and/or professional services (preferred).
• Experience in or working with cybersecurity functions is desirable.

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• The Senior Project Manager is responsible for leading the successful delivery of strategic and operational technology initiatives across the organisation. This role drives the planning, execution, governance, and implementation of technology projects that support business growth, operational excellence, digital transformation, and enhanced customer and employee experiences.
• Working closely with business and technology stakeholders, the incumbent will ensure projects deliver measurable business value while aligning to organisational strategy and operational objectives. Experience delivering enterprise-wide technology transformations, system implementations, integrations, and digital initiatives is essential. Exposure to HR, People & Culture technology projects would be advantageous.

Key Responsibilities

Project Delivery & Execution

• Lead the end-to-end delivery of strategic and operational IT projects.
• Develop and manage project plans, timelines, budgets, resources, risks, and dependencies.
• Ensure projects are delivered on time, within budget, and to agreed quality standards.
• Drive technology-enabled transformation initiatives and continuous improvement opportunities.
• Coordinate cross-functional teams to achieve project objectives.
• Oversees a programme portfolio, ensuring alignment with business objectives.
• Tracks, monitors and reports on project and programme progress to ensure successful execution.
• Identify and manages project and programme interdependencies, risks, issues, decisions and change requests.

Stakeholder & Vendor Management

• Build strong relationships with business leaders, executive stakeholders, technology teams, cross collaboration with other portfolio teams and external partners.
• Facilitate weekly project status meetings, governance forums, workshops, and steering committee meetings.
• Provide regular project reporting, including progress, risks, and outcomes.
• Manage third-party vendors and implementation partners to ensure successful delivery.

Governance, Risk & Change Management

• Establish and maintain effective project governance and controls.
• Identify, manage, and mitigate project risks and issues.
• Ensure compliance with project methodologies, policies, and regulatory requirements.
• Support organisational change management, business readiness, and user adoption activities.
• Monitor post-implementation outcomes and benefits realisation.
• Conform in PMO quality assurance, to ensure project deliverables are being met.
• Adhere to project and programme management compliance (collaborating with commercials and legal).

Academic Qualification & Certifications

• Bachelor's Degree in Information Technology, Computer Science, Information Systems, Engineering, Business Management, or a related field.
• Project Management certification (PMP, PRINCE2, SAP Activate, Agile, Scrum Master, or equivalent) preferred.

Experience Required

• 10+ years' experience managing medium to large-scale IT projects.
• Proven experience delivering complex enterprise, and digitized transformation initiatives in the IT technology stack.
• Experience managing vendors, implementation partners, and cross-functional teams.
• Exposure to digital transformations, such as ERP, CRM, HRIS, ServiceNow and/or enterprise systems projects.
• Experience within large corporate or enterprise technology environments advantageous.

Technical Knowledge

• Project lifecycle management and governance (SLDC or ITIL).
• SAP Activate, Agile, Waterfall, and/or Hybrid delivery methodologies.
• Enterprise systems and technology implementations.
• Risk, compliance, quality assurance and change management.
• Business process improvement and transformation initiatives.

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Your day at NTT DATA

• The Talent Analytics & Insights Business Partner is responsible for managing business engagement, analytics demand, operational reporting, and data quality across the Talent Analytics and Insights portfolio.
• This role acts as the link between People & Culture stakeholders, Talent teams, product owners, and the IT Data COE. It ensures business needs are translated into clear data requirements, reporting priorities, trusted metrics, and actionable talent insights.

Key Responsibilities

• Manage business engagement for Talent Analytics and Insights across P&C / HR stakeholder groups.
• Act as the primary link between business stakeholders and the IT Data COE for talent analytics, operational reporting, data requirements, and data quality.
• Gather, analyse, document, and prioritise business requirements for reporting, dashboards, analytics products, and insights use cases.
• Translate business questions into data requirements, reporting logic, KPI definitions, user stories, and acceptance criteria.
• Manage the talent analytics demand portfolio, prioritising requests by business value, urgency, feasibility, data readiness, and strategic alignment.
• Oversee operational reporting requirements, including recurring reports, leadership packs, workforce insights, and management information.
• Support the definition and governance of Talent metrics, reporting standards, business rules, data definitions, and insight interpretation.
• Manage data quality requirements, including identifying data gaps, tracking issues, coordinating remediation, and validating improvements.
• Partner with IT Data COE, data engineers, reporting developers, product owners, and system owners to ensure datasets and reporting outputs meet business needs.
• Support the use of Snowflake, SAP Business Data Cloud, SAP Analytics Cloud, SAP People Intelligence, and other analytics technologies from a business requirements perspective.
• Coordinate user acceptance testing, report validation, data reconciliation, and business sign-off for analytics deliverables.
• Identify opportunities to improve reporting processes, reduce manual effort, standardise metrics, and increase self-service analytics adoption.
• Educate stakeholders on new analytics methods, data models, dashboards, trends, and insight capabilities.
• Monitor adoption, user feedback, data quality trends, and business satisfaction to improve Talent Analytics and Insights services.
• Ensure analytics outputs align with privacy, data security, access control, and responsible employee data use requirements.

Knowledge and Attributes

• Strong understanding of Talent, People & Culture, HR processes, operational reporting, and workforce analytics.
• Good understanding of business analysis practices, including requirements gathering, process mapping, user stories, acceptance criteria, and stakeholder engagement.
• Good understanding of data quality, data governance, KPI definitions, reporting controls, and data issue management.
• Working knowledge of analytics and data platforms such as Snowflake, SAP Business Data Cloud, SAP Analytics Cloud, SAP People Intelligence, and standard BI / reporting tools.
• Ability to translate business needs into clear data, reporting, and analytics requirements.
• Ability to create a bridge between business stakeholders and technical data teams.
• Strong analytical thinking and ability to interpret data through a business lens.
• Strong communication and storytelling skills, with the ability to explain data and analytics concepts to non-technical stakeholders.
• Strong stakeholder management skills across global, regional, business, IT, data, and product teams.
• Good understanding of data privacy, role-based access, and responsible use of employee data.
• Ability to manage multiple requests, priorities, and stakeholder expectations in a complex environment.
• Curiosity about emerging analytics methods, self-service reporting, AI-enabled insights, and people analytics trends.

Academic Qualifications and Certifications

• Bachelor’s degree or equivalent in Business. or Data Analytics, Information Systems, Industrial Engineering, Computer Science, or a related field.
• Business Analysis, Agile, Data Analytics, HR Technology, SAP Analytics Cloud, or Product Ownership certifications would be beneficial.
• Training in data governance, people analytics, workforce analytics, or data storytelling would be advantageous.

Required Experience

• Relevant experience in people analytics, HR reporting, business analysis, HR technology, workforce analytics, data governance, or analytics product support.
• Experience engaging business stakeholders to understand reporting, analytics, data, or insight requirements.
• Experience translating business needs into reporting requirements, dashboards, data definitions, user stories, or analytics deliverables.
• Experience working with IT, data engineering, reporting, or analytics teams to deliver business-facing insights.
• Experience supporting operational reporting, KPI definitions, dashboards, data validation, and report governance.
• Experience identifying and resolving data quality issues with system owners, data teams, and business stakeholders.
• Exposure to Snowflake, SAP Business Data Cloud, SAP Analytics Cloud, SAP People Intelligence, SAP SuccessFactors, Power BI or similar tools would be advantageous.
• Experience in a global or matrixed organisation would be beneficial.

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Your day at NTT DATA

• This Senior Data Architect’s role acts as the strategic technical advisor between Sales, Clients, Industry Leaders, Delivery and Global Practices, with specific focus on Enterprise Data and AI.  This role offers the opportunity to shape the Data go-to-market strategy in a high-growth market, backed by a global delivery network and strong partner ecosystem.
• As part of the role, you are responsible for helping our Sales team develop, influence and elevate executive conversations specifically around their Data and Application estate. In your role you are responsible for developing, supporting and closing opportunities in data strategy, analytics, cloud data platforms (Snowflake, Databricks, Microsoft Fabric), and related managed services, working closely with local clients, partners, and internal delivery teams.  Through your experience, you help elevate client conversation towards organizational transformation, long-term data governance strategy, AI adoption, information architecture, ontology-driven business models and industry-specific digital operating models.
• You possess broad enterprise architecture capability, and are not beholden to a single technology domain – you have a broad understanding of Microsoft, Databricks, AWS, Snowflake and other technology capabilities, and you can combine this with strong consulting skills and commercial awareness to have a conversation with business stakeholders. You enjoy engaging with the C-suite to shape strategic roadmaps, challenge thinking and identify transformation opportunities, whilst you bring enough technical depth to build credibility with technical teams.  
• In addition to opportunity shaping, you will help build industry-specific propositions across Financial Services, Manufacturing, Mining and Healthcare, translating global capabilities into locally relevant client outcomes.

Key Responsibilities:

• Act as a strategic advisor to Sales and Client Managers, leading executive-level discovery and value-led conversations.
• Facilitate Client discussions aimed at understanding business requirements related to their data and applications estate – including business strategy, operating models, data maturity, AI readiness, governance and overall technology direction.
• Help shape and inform client deals and develop client opportunities alongside our Sales team. 
• Able to define target-state architectures conceptually, capability roadmaps and investment priorities.
• Help inform and build commercial models to support client opportunities.
• Validate architecture, security, integration, data governance, AI governance and delivery approaches with client and internal specialists. 
• Review solution estimates, delivery assumptions, commercial models and execution risks. 
• Translate complex technical strategies into compelling executive narratives, proposals and statements of work.
• Localise global application offers and help develop industry-specific offerings, accelerators and thought leadership for the South African market.
• Mentor sales teams by raising technical capability and improving qualification discipline.

Recommended Knowledge & Experience:

• 10+ years in enterprise architecture, consulting, solution strategy or technical pre-sales
• 8+ years operating in an applications landscape (as opposed to purely an infrastructure environment) with specific focus on D&A technology solutions (MDM, Data Quality, Data Governance, Data Engineering and Data Cloud platforms)
• Strong understanding of enterprise applications, software engineering and modern digital platforms.
• Solid understanding of data platforms, analytics tools, and AI/ML solution offerings.
• Demonstrated experience developing enterprise data strategies, AI adoption roadmaps and information governance models.
• Working knowledge of ontology-based information modelling, knowledge graphs, metadata management and semantic architectures.
• Strong understanding of Microsoft Data & AI, AWS Data & AI, Snowflake and other technology ecosystems.
• Ability to develop industry reference architectures for Financial Services, Manufacturing, Mining or Healthcare advisable.
• Strong commercial acumen, proposal development and executive presentation capability.  
• Ability to interrogate delivery models, estimates and commercial risk.

Preferred Profile:

• The ideal candidate combines the curiosity of a technical engineer, the breadth of an Enterprise Architect and the commercial mindset of a strategic pre-sales leader. They genuinely enjoy the process of developing a client idea from initial thought through to deliverable solution and engaging with clients to shape that journey. Depth in a single technology remains valuable, however, success in this role will come from the candidates ability to connect applications, data, AI, cloud, governance and operating models into coherent enterprise strategies.

You will love this role if you:

• You enjoy story-telling in a technology context, and you believe in taking people along on the journey.
• You genuinely like engaging and interacting with clients and facilitating conversations with diverse audiences.
• You prefer sitting around a table with senior executives instead of communicating through proposals and simply responding to RFPs.
• You are energised by understanding large complex problems, trail-blazing into the unknown and discovering new ways to solve challenges.
• You like keeping abreast of industry and technology trends, including enterprise strategy, all things AI and data-driven transformation.
• You enjoy building offerings, industry propositions and reusable frameworks. 
• You thrive in ambiguous environments where you can rely on your experience to advise and support clients
• You are equally credible with executives, architects and delivery teams.

This role may not be for you if:

• You prefer narrow product specialisation over enterprise consulting.
• You are uncomfortable engaging senior executives without detailed preparation.
• You are seeking primarily delivery management or hands-on engineering responsibilities.
• You prefer mature, highly structured environments with limited ambiguity.
• You lack the technical depth.

What success looks like after 12 months:

• NTT DATA is increasingly invited into early-stage executive strategy conversations.
• Sales teams consistently engage you to shape complex enterprise opportunities.
• We are having energised and active conversations in the market with many clients around enterprise AI and data strategy engagements.
• Industry-specific propositions for Financial Services, Manufacturing, Mining and Healthcare are established and generating qualified pipeline.
• Executive relationships have been developed with client technology and business leadership across key accounts.
• South Africa is recognised internally for localising global Data & AI capabilities into market-relevant offerings.

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Your day at NTT DATA

• The Talent Insight Designer & Technical Lead is a mid-tier hands-on role responsible for designing, building, and enhancing operational data products within Tier 1 HR applications and the broader HR technology stack.
• This role develops dashboards, reports, embedded analytics, insight artefacts, and operational reporting products that help Talent, People & Culture, managers, and business leaders make informed decisions.
• The role requires strong knowledge of HR technology analytics capabilities, particularly SAP SuccessFactors Stories, SAP People Intelligence, Phenom People, Skillsoft, and other HR technology platforms.

Key Responsibilities

• Design, build, test, and maintain operational data products within Tier 1 HR applications and related HR technologies.
• Develop dashboards, reports, embedded analytics, visualisations, insight packs, and self-service reporting products.
• Build insight solutions across talent acquisition, talent growth, learning, skills, workforce planning, internal mobility, performance, succession, and retention.
• Translate approved requirements, KPI definitions, business rules, and user stories into accurate analytics outputs.
• Use SAP SuccessFactors Stories, SAP People Intelligence, Phenom People, Skillsoft, SAP Analytics Cloud, and other HR technologies to deliver operational insights.
• Partner with the Talent Analytics & Insights Business Partner, product owners, system owners, and business stakeholders to understand how insights will be used.
• Work with IT Data COE, data engineering, and platform teams to understand datasets, data models, integrations, and technical constraints.
• Support metric logic, semantic layer design, dashboard structure, reporting standards, filters, and access requirements.
• Validate data outputs, reconcile metrics, identify data inconsistencies, and support resolution of data quality issues.
• Create visualisations and dashboards that tell a clear story and make complex talent data easier to interpret.
• Apply data visualisation, user experience, and storytelling principles to improve usability and adoption.
• Develop prototypes, mock-ups, and proof-of-concept dashboards to test new insight ideas.
• Document report logic, data sources, metric definitions, assumptions, filters, access rules, and known limitations.
• Support user acceptance testing, dashboard demonstrations, release readiness, and business sign-off.
• Educate business users on how to use dashboards, interpret insights, and apply new analytics methods.
• Monitor usage, feedback, and performance of analytics products to identify improvements.
• Ensure analytics products comply with data privacy, access control, security, and responsible employee data use requirements.

Knowledge and Attributes

• Strong understanding of dashboard design, embedded analytics, operational reporting, insight storytelling, and HR data products.
• Strong knowledge of SAP SuccessFactors Stories, SAP People Intelligence, Phenom People, Skillsoft, and other HR technology reporting capabilities.
• Working knowledge of SAP Analytics Cloud, SAP Business Data Cloud, Snowflake, and standard analytics / BI technologies.
• Good understanding of Talent, People & Culture, HR processes, workforce data, and employee lifecycle metrics.
• Good understanding of data modelling, KPI logic, metric definitions, filters, joins, hierarchies, and reporting structures.
• Ability to turn business requirements into practical, accurate, and visually compelling analytics artefacts.
• Ability to explain insights clearly to business users and non-technical stakeholders.
• Strong attention to detail, especially for data accuracy, reconciliation, metric logic, access control, and visual design.
• Strong analytical and problem-solving skills, with the ability to identify trends, patterns, anomalies, and data quality concerns.
• Good understanding of self-service analytics and how to design products that enable business users to explore data safely.
• Ability to work with business analysts, product owners, data engineers, architects, platform teams, and HR stakeholders.
• Curiosity about new analytics methods, AI-enabled insight generation, predictive analytics, and data storytelling.

Academic Qualifications and Certifications

• Bachelor’s degree or equivalent in Data Analytics, Business Analytics, Information Systems, Computer Science, Human Resources, Industrial Psychology, Statistics, Mathematics, Economics, or a related field.
• Certifications or training in SAP SuccessFactors, SAP People Intelligence, SAP Analytics Cloud, Phenom People, Skillsoft, Snowflake, SQL, data visualisation, or Agile would be beneficial.
• Training in people analytics, workforce analytics, HR technology, or responsible data use would be advantageous.

Required Experience

• Relevant experience designing and developing HR dashboards, operational reports, embedded analytics, data products, or insight packs.
• Experience building reporting or analytics products in Tier 1 HR applications.
• Experience with SAP SuccessFactors Stories and exposure to SAP People Intelligence, Phenom People, Skillsoft, SAP Analytics Cloud, or similar HR technologies.
• Experience translating requirements into reporting outputs, dashboards, metric logic, and data visualisations.
• Experience working with HR, Talent, workforce, learning, recruitment, skills, or employee data.
• Experience with SQL, data validation, metric reconciliation, report testing, and data quality checks would be beneficial.
• Exposure to Snowflake, SAP Business Data Cloud, data warehouses, data lakes, or semantic layers would be advantageous.
• Experience applying data visualisation and storytelling techniques to make insights easier for users to understand.
• Experience supporting dashboard adoption, user training, analytics demonstrations, or self-service reporting enablement.
• Experience working in a global or matrixed organisation would be beneficial.