Capitec Bank is a South African commercial bank. As of February 2017 the bank was the third largest in South Africa with 120,000 customer opening new accounts per month.
To simplify banking, we’ve developed an all-inclusive banking solution. Global One is the one solution that enables you to transact, save and access credit in realtime. We also believe in ...
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Purpose Statement
- Responsible for developing and implementing the Recoveries strategy as part of the broader BSC Divisional strategy, ensuring it supports and delivers the organisational goals.
- Ensure alignment of the Recoveries strategy with the overall Credit management strategy.
- Oversee the effective execution of the strategy through a comprehensive Recoveries business plan, providing effective leadership and management of the functions within the Recoveries department.
Experience
- 10yrs+ management experience in an increasingly senior roles in a credit environment with responsibility for Recoveries.
- Proven experience of using influence and relationships to drive and achieve objectives.
- Experience of managing large teams
- Experience of successfully leading, planning and managing Recoveries operations and initiatives
- Influencing and providing strategic input and regular exposure to Executive level engagement
Qualifications (Minimum)
- Bachelor's Degree in Finance or Commerce
Qualifications (Ideal or Preferred)
- Masters Degree in Business Administration
Knowledge
- Knowledge and experience of the Credit life cycle/value chain.
- Expert knowledge of Recoveries and recoveries best practice
- Commercial, business and financial principles and practices and acumen. Building and developing effective teams.
- Credit management systems.
- Governance and credit management principles
- Business products, processes, policies and systems
- Fundamental IT systems and data analysis
- Quality principles and practice
- Leadership, mentoring and coaching methods and practices.
- Reporting, budgeting, planning, networking practices
Skills
- Communications Skills
- Analytical Skills
- Commercial Thinking Skills
- Leadership Skills
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Purpose Statement
- To welcome clients and coordinate the branch flow through efficient queue functioning, providing excellent client service and assisting clients at the ATM and to complete transactions on any remote or self-service channels. In doing so, gain the knowledge, skills and experience required for service consulting.
Experience
Minimum:
- No experience required but individual needs to hold a Grade 12 National Certificate
Ideal:
- Some client service experience within a retail/ financial/ banking environment
Qualifications (Minimum)
- Grade 12 National Certificate / Vocational
Qualifications (Ideal or Preferred)
Knowledge
Minimum:
- Basic calculations
- How to engage with people
- Clarity and understanding of own aspirations, being ambitious and keen to learn.
Ideal:
- Knowledge of bank branch environments
- Knowledge of Capitec Bank products and business processes (internal)
Skills
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Interpersonal & Relationship management Skills
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About The Role
- We are seeking a highly skilled and experienced professional to join our team in a pivotal role that combines technical expertise with strong business acumen. The ideal candidate will have extensive experience in customer onboarding processes and the ability to decompose complex business problems into implementable solutions. A deep understanding of event-driven architectures and domain-driven design is essential, along with the capability to be hands-on with code and lead technical conversations. This role also requires significant leadership skills, as the candidate will be expected to support multiple teams and portfolios, demonstrating versatility and the ability to context switch effectively.
Our Ideal Candidate
- Proficiency in Architecture Frameworks
- Cloud Architecture Expertise
- Deep hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).-AWS Bias
- Microservices and API Design
- Strong experience designing and integrating microservices-based architectures.
- Proficiency in RESTful APIs, GraphQL, and gRPC, along with service discovery, API gateways, and inter-service communication patterns.
- Software Development Lifecycle (SDLC) & Tooling
- Proficiency in modern software development methodologies (e.g., Agile, DevOps, CI/CD)
- Security & Compliance
- Working knowledge of security principles, authentication/authorization mechanisms (e.g., OAuth2, OpenID Connect, mTLS).
- Domain-Driven Design (DDD)
- Event-Driven Architecture
- Strong experience in event-driven systems, including event sourcing, CQRS, publish-subscribe, and stream processing ( Kafka)
- Integration Patterns
Skills
- Presentation Skills
- Interpersonal & Relationship management Skills
- Commercial Thinking Skills
- Problem solving skills
- Leadership skills
- Strategic Thinking Skills
Conditions of Employment
- Clear credit and criminal record
- Own reliable transport and valid driver’s license
- Own mobile phone
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Purpose Statement
- To support the vision and strategy and enhance the capability of a Business Unit through the development and implementation of innovative business processes and models.
- To identify process improvement opportunities that will enhance the functioning of the Business Unit in line with its strategic objectives and regulatory requirements and ensure the business benefit is achieved through measurement of success.
Experience
Minimum:
- Minimum of 5 years relevant experience in processing systems, processes, procedures and support in a similar environment
- Proven experience in data analytics, business model design, business process development or improvement, operationalisation of new business process solutions and improvements.
- Experience in Six Sigma, Lean, TOC, Business Improvement, Agile
Ideal:
- 5+ years relevant experience in processing systems, processes, procedures and support in a similar environment
- Strategic business case development
- Translating Divisional strategies and regulatory requirements into a business area target operating model
- Management / leadership experience
Qualifications (Minimum)
- Grade 12 National Certificate / Vocational
- A relevant tertiary qualification in Engineering - General
Qualifications (Ideal or Preferred)
- A relevant post-graduate qualification in Engineering - General or Information Technology
Knowledge
Minimum:
- Lean way of work principles
- Business Change Life Cycle and change management principles
- System Development Life Cycle
- Project Management Lifecycle
- Agile Way of Working Practices
- Quality Management
- Risk & Issue Management
- BABOK, SOA,TOGAF, ARCHIMATE
- Developing a business case
- Client experience / client journey mapping
- Process frameworks (Strategy, Planning, HR, Finance, Marketing, Sales, Assets, Procurement, Production)
- Process Simulation Modelling
- Financial Modelling
Ideal:
- Banking processes and procedures
- Banking systems: Banking System, SBL, Horizon, STrack, Postilion, etc.
- In-depth knowledge of Capitec Products
- Data and trend analysis
Skills
- Communications Skills
- Analytical Skills
- Problem solving skills
- Interpersonal & Relationship management Skills
- Facilitation Skills
- Negotiation skills
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Purpose Statement
- Define the technology solution for the Data and Analytics (D&A) environment, ensuring it meets both current and future technology needs.
- Support and oversee the development of detailed technical specifications from business requirements by maintaining strong expertise in D&A and related Back-End Systems and data sources.
- Manage a team of data engineers responsible for implementing the technology solution.
- Provide mentorship and guidance to a small team of data engineers contributing to the analytical platform.
- Collaborate with engineers on technical deliverables.
Experience
Minimum:
- At least 4 years’ experience implementing BI and Data Visualisation solutions and supporting architecture
- Product development life cycle
- Preference will be given to candidates who has experience with Microsoft fabric and power Bi
- In depth knowledge of Business Intelligence and Data Warehousing best practices
- In depth knowledge of BI environments, solutions and implementations (end-to-end BI architecture andtechnologies)
- Expert in the field of BI development (reports, dashboards, data visualisation, etc.)
- A good understanding of design and user experience principles
Qualifications (Minimum)
- Diploma in Information Technology - Systems Engineering
Qualifications (Ideal or Preferred)
- Bachelor's Degree in Management Information Systems
Knowledge
Minimum:
Must have detailed knowledge of:
- Data Warehouse Development Life Cycle
- Dimensional modelling
- Financial systems and procedures
- UML or equivalent modelling language
- Technical Test Plan Design
- IT systems development processes
- Application development
- Standards and governance
Ideal:
Detailed knowledge of:
- Banking systems environment
- Banking business model
- Agile development life cycle
- Best practices for Quality Assurance (QA)
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Purpose Statement
- Apply business process reengineering and data analytics experience to support and manage the optimisation of Generative AI solutions through Retrieval-Augmented Generation (RAG) workflows. This involves integrating various data sources, refining prompts, and continually enhancing AI retrieval accuracy to improve both product performance and user experience.
- Drive measurable value for the product line by leveraging data and Generative AI tools to address client and business challenges, improve decision-making, and enhance product effectiveness. Use data analysis and business intelligence skills to generate actionable insights that support faster, more informed decisions and increase engagement with Generative AI products.
What you will do:
Ownership and Responsibility for Allocated Area
- Own and manage the allocated product, focus or client area by maintaining Generative AI and data product quality, coordinating with product and content owners, and ensuring accurate, consistent and up-to-date source content. Plan and organise day-to-day work based on team direction and priorities, using sound judgment in routine decisions while escalating complex or unusual issues. Build a solid understanding of the business domain, collaborate with more experienced Business Intelligence Analysts and cross-functional teams, and actively contribute to a culture of data-driven decision-making.
Deliver on Business Requirements
- Use appropriate tools, methodologies and platforms to understand business needs, clarify the value to be derived from data and Generative AI, and translate these into clearly documented requirements with realistic timelines. Extract, combine and manipulate data from multiple sources to answer business questions, applying a methodical approach to problem solving within own scope. Engage constructively with stakeholders by providing overviews of requirements, prioritising tasks, estimating impact and risk, and delivering end-to-end, data-driven analysis that identifies key business triggers, assesses their effect on reports and KPIs, and is communicated in a clear, timely and professional manner.
Deliver Data Insights
- Create and share meaningful data visualisations, reports and analytical outputs that address core business questions and support decision-making. Use storytelling principles in visualisations to highlight key insights relevant to the problem statement, ensuring all outputs adhere to internal standards and methodologies. Communicate insights in a structured, stakeholder-appropriate way so that findings are easily understood and actionable.
Knowledge Sharing, Standards and Data Quality
- Actively develop own skills and knowledge, especially in Generative AI and its application in data and analytics, while maintaining strong housekeeping through regular review and clean-up of work. Follow analytics best practices to support continuity, optimisation and high data quality, and assist in establishing effective processes for query resolution. Participate in Communities of Practice to share knowledge, refine standards and adopt emerging AI-driven approaches, staying up to date with industry trends in BI, data warehousing, BI architecture, Generative AI and related technologies.
Education (Minimum)
- A relevant tertiary qualification in Business Administration or Mathematics
Knowledge and Experience
Minimum:-
Knowledge
- At least 1 years’ experience as Business Intelligence Analyst or equivalent (data analyst etc.) including experience in data analytics, BI methods and tools, data warehousing and the data life cycle
- Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
- Exposure of using data transformation and visualisation tools such as Power BI, SQL, Python and Excel
- Experience in building data visualisations using tools such as Power BI
- Design thinking
- The Data Product Life Cycle (DPLC)
- Fundamental knowledge of data privacy and security regulations
- Fundamental knowledge of data quality and incident management
Experience:
- At least 1 years’ experience as Business Intelligence Analyst or equivalent (data analyst etc.) including experience in data analytics, BI methods and tools, data warehousing and the data life cycle
- Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
- Exposure of using data transformation and visualisation tools such as Power BI, SQL and Excel
- Experience in building data visualisations using tools such as Power BI
Ideal:
- Knowledge of and experience operating on the AWS (or similar) data stack
- Experience in building data visualisations using tools such as Power Bi Knowledge of agile project management methodology
- Knowledge and experience with Copilot in Microsoft 365: understanding integrations in Excel, Power BI, Word, Outlook, and Teams.
- Knowledge and experience with Copilot Studio: fundamentals of building conversational agents.
- Knowledge and experience with prompt design within Copilot: using natural-language instructions to query enterprise data, generate narratives, or automate workflows
- Large Language Models (LLM) fundamentals: purpose, capabilities, limitations (hallucination, bias, prompt sensitivity).
- Prompt engineering basics: how phrasing affects LLM output; techniques like role prompting, context priming, and chain-of-thought prompting.
Skills
- Communications Skills
- Facilitation Skills
- Numerical Reasoning skills
- Presentation Skills
- Problem solving skills
- Commercial Thinking Skills
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Purpose Statement
- To support the Product through a clear understanding of the business requirements for efficient support and development of appropriate analyses and reports.
- To lead a specialist team and hold responsibility for ensuring delivery according to the Capitec recipe and agile way of work, within agreed timeframes and supporting the team through providing clear direction in terms of delivery, providing technical support, aiding in the development of goal plans, and assisting in the setting and achieving of career development goals.
Experience
Minimum:
- 5 years’ experience in leadership or management role in the technology and/or data environment.
- Experience in an analytics role, (Data Engineer, BIBA, BI Analyst) including experience in and understanding of database structure design and data extraction principles
- In an environment which required validating work
- Stakeholder relationship principles, engagement and management
- Responsibility for delivery in a fast moving environment
- Functional experience and knowledge relevant to the product.
Ideal:
- Experience gained in a banking/retail/financial services environment.
- Agile methodology experience
- Experience in a specialist/technical; support function
- Understanding of, and exposure to, DevOps and DataOps principles
Qualifications (Minimum)
- Bachelor's Degree in Data Analysis or Information Technology - Systems Engineering
Qualifications (Ideal or Preferred)
- Honours Degree in Data Analysis or Information Technology - Systems Engineering
Knowledge
Minimum:
- Systems Development Life Cycle
- Analytics problem methodologies
- General business/financial systems & procedures
- Database design principles
- People management practices
- Business acumen
- SQL
- Data modelling
Ideal:
- Understanding of, and exposure to, DevOps and DataOps principles
- Capitec Bank environment and products
- The particular operational area (value stream / component team) in which the role will operate.
Skills
- SQL Skills
- Leadership Skills
- Decision making skills
- Interpersonal & Relationship management Skills
- Analytical Skills
- Communications Skills
- Attention to Detail
- Management skills
- Planning, organising and coordination skills
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Purpose Statement
- The Back-End Software Engineer III plays a critical role in designing and building scalable, secure, and high-performing backend systems that power our enterprise applications. You will work within a cross-functional team to deliver end-to-end solutions, from architecture and development to deployment and monitoring. At this level, you will also mentor junior engineers, contribute to engineering standards, and ensure best practices across the software development lifecycle.
Education (Minimum)
- Grade 12 National Certificate / Vocational
Education (Ideal or Preferred)
- A relevant tertiary qualification in Information Technology
Knowledge and Experience
Experience:
- 6+ years of proven experience in back-end software development using .NET (C#) and/or Python for enterprise-grade applications.
- Hands-on experience designing, developing, and maintaining microservices and event-driven architectures in production environments.
- Proven track record in architecting and implementing cloud solutions on AWS, including services such as EKS, Lambda, RDS, MSK, S3, and ElastiCache.
- Experience in automating infrastructure provisioning and management using Terraform and GitOps workflows (ArgoCD, GitHub Actions, Jenkins).
- Practical experience implementing CI/CD pipelines for build, test, and deployment automation.
- Exposure to observability practices (metrics, tracing, logging) and maintaining system health using monitoring tools.
- Experience collaborating with cross-functional teams (DevOps, QA, Product, Architecture) to deliver end-to-end solutions.
- Previous involvement in mentoring junior engineers, conducting code reviews, and contributing to engineering standards.
Knowledge:
- Strong programming skills in C# (.NET 7/8/9) and Python (FastAPI).
- Deep understanding of AWS cloud services (IAM, EKS, RDS, MSK/Kafka, Lambda, ElastiCache).
- Expertise in Infrastructure as Code using Terraform (modules, state management, environment-specific provisioning).
- Solid understanding of microservices architecture, REST/gRPC APIs, and event-driven design.
- Proficiency with databases (PostgreSQL, SQL Server, MySQL).
- Knowledge of CI/CD tools (GitHub Actions, GitLab CI, Jenkins).
- Strong understanding of containerization (Docker, Kubernetes).
- Familiarity with monitoring and observability tools (Instana, Prometheus, Grafana, OpenTelemetry).
Skills
- Analytical Skills
- Attention to Detail
- Communications Skills
- Interpersonal & Relationship management Skills
- Problem solving skills
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Purpose Statement
- To optimise business efficiencies made possible by automation, digital, information and communications technologies (not limited to technologies) through systematically analysing and defining business requirements and functional specifications.
- To develop and design solutions and ensure effectiveness of implementation as well as continuous improvement for business and/or existing applications solutions by collaborating with and acting as conduit between stakeholders from the business, Technology and the product team.
Education (Minimum)
- A relevant tertiary qualification in Business Analysis
Knowledge and Experience
Minimum:
- 4 - 7 years working experience in various business analysis knowledge areas, working independently with minimal oversight.
- Internal: Completion of BA School of Learning Level 3
- Business and data analysis
- Understanding of business process and translating requirements into business processes, context diagrams, visual explanations, etc.
- Functional and business process design
- Communication and translation of information across business and technical environments (Interface between business and Technology)
- Design of evidence-based best practice solutions
- Stakeholder engagement and collaboration
- Project Management principles and relevant development lifecycle experience
- Agile development lifecycle principles and experience
- Understanding of systems and the Systems Development Life Cycle (SDLC)
Ideal:
- Banking Industry Knowledge
Skills
- Analytical Skills
- Problem solving skills
- Communications Skills
- Facilitation Skills
- Interpersonal & Relationship management Skills
- Negotiation skills
- Planning, organising and coordination skills
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Purpose Statement
- As a Business Intelligence Analyst, you’ll be the driving force behind data-informed decision-making. You’llwork with large, complex datasets to uncover actionable insights that directly support strategic priorities. This isa hands-on, technical role requiring strong data skills, business acumen, and the ability to work independentlywhile owning projects from concept to delivery.
Education (Minimum)
- A relevant tertiary qualification in Business Administration or Statistics
Knowledge and Experience
Minimum
Experience:
- At least 3 years’ experience as Business Intelligence Analyst or equivalent (data analyst etc.) including experience in data analytics, BI methods and tools, data warehousing and the data life cycle.
- At least 3-5 years experience in Data Modelling
- Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
- Experience with stakeholder engagement
- Experience in working with data on cloud platforms, such as AWS or Microsoft Azure
- Experience in building data visualisations using tools such as Power BI
- Experience of using SQL to prepare and analyse data
Knowledge:
- Knowledge and basic experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker
- Design thinking
- Dimensional Modelling
- The Data Product Life Cycle (DPLC)
- Knowledge of data privacy and security regulations and best practices
- Knowledge and understanding of data quality and incident management
- Knowledge and experience of agile project management methodology
Ideal:
- Previous experience working in business analysis in the banking sector
- Knowledge of change management principles and practices
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Purpose Statement
- To contribute towards the management of liquidity, interest rate and counterparty risk of the bank through functionally leading, guiding and providing technical oversight during the daily operations of the Treasury function.
Experience
Min/Ideal:
- 3-4 years financial treasury experience with experience in:
- Liquidity and cash management
- Debt issuance and investment portfolio management
- Treasury risk management and regulatory compliance
- Treasury systems (e.g., IT2, SAP, ALM systems)
- Financial reporting and audit coordination
- Stakeholder engagement across departments and external institutions
Qualifications (Minimum)
- Bachelor's Degree in Accounting - Financial Accounting
Qualifications (Ideal or Preferred)
- Honours Degree in Accounting - Financial Accounting
Knowledge
Min/Ideal:
In-depth understanding of:
- Treasury operations, instruments, and market practices
- Regulatory frameworks (e.g., Basel III, SARB liquidity requirements)
- Financial instruments and investment vehicles
- Risk management principles and counterparty risk
- Financial accounting and reporting standards (IFRS)
Familiarity with:
- Treasury Management Systems (TMS) such as IT2
- ALM systems and liquidity stress testing tools
- SAP and PowerBI for financial analysis and reporting
Skills
- Analytical Skills
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Interpersonal & Relationship management Skills
- Numerical Reasoning skills
- Planning, organising and coordination skills
- Problem solving skills
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About The Role
- Join our team as a key contributor to our Service Management product portfolio, where you will work primarily with a low-code/no-code platform to design, develop, and maintain solutions that support both internal operations and client-facing services. You will manage and enhance our Enterprise Service management system, build custom modules and user interfaces, and develop integrations with enterprise applications using web services and scripting. The role also involves maintaining infrastructure health through monitoring and observability, overseeing data quality and database maintenance across on-premise and cloud environments, and working with a diverse technology stack including (but not limited to) SQL, Instana, Playwright, Microsoft Visual Studio, Github and Postman.
What You’ll Be Doing
- Leading integration efforts using XML/XSLT transformations, C#, JavaScript, JSON, REST/SOAP, and web scripting.
- Developing and maintaining integration processes.
- Develop complex scripts to automate tasks and processes, lead optimization efforts for existing scripts and processes.
- Provide mentoring and coaching on automation and scripting, assist with defining and implementing automation and scripting standards and best practice guidance.
- Managing code repositories and version control via GitHub.
- Collaborating with Systems Analysts to support service management workflows and database structures.
- Participating in solution design, documentation, and stakeholder engagement.
- Ensuring system reliability and performance through proactive monitoring and optimisation.
- Perform expert-level checks of logs and system performance.
- Ensure optimal service availability and resolve critical issues.
- Oversee and direct user requests and incidents.
- Provide guidance for best practice configurations and threshold monitoring.
What We Are Looking For
- Proven 7+ years of experience in systems engineering, with strong coding and integration skills.
- Proficiency in C#, JavaScript, SQL, JSON and REST/SOAP services.
- Exposure to GitHub and version control best practices.
- Solid understanding of relational databases and workflow engines.
- Experience with XML/XSLT and integration processes.
- Exposure to Service Management Solutions - Ivanti ITSM, ServiceNow, Fresh.
- Strong analytical and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Knowledge of networks, security, virtualization, hardware, cloud and systems development processes. (Microsoft Operating System, Linux, AWS, Storage, VMware, SAN, etc).
Education
- Minimum: A relevant tertiary qualification in Information Technology
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Purpose Statement
- To minimise the risk of loss through bad debts, and maximise profits for the business through effective execution of credit application, evaluation and approval processes, and ensuring the quality of credit risks across the portfolio is maintained.
- To interact with other areas of the bank and acting as a catalyst in ensuring compliance with agreed risk parameters as set out in the Bank’s strategy.
Experience
Minimum:
- At least 5 years Credit Management experience across Personal and Business markets
- Current Person-to-holder Credit Mandate
Ideal:
- At least 5 years Credit Management experience across Personal and Business markets
- Experience in Intuitive Credit Granting
Qualifications (Minimum)
- Bachelor's Degree in Credit Management or Banking
Qualifications (Ideal or Preferred)
- Honours Degree in Credit Management or Banking
Knowledge
Minimum:
- Business knowledge
- Risk Management
- Understanding of Project Management methodologies and processes,
- People Management
- Financial Management
- In-depth understanding of the NCA
Ideal:
- Knowledge of Intuitive Credit Granting
Skills
- Commercial Thinking Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Analytical Skills
- Problem solving skills
- Decision making skills
- Attention to Detail
- Numerical Reasoning skills
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About the roles:
- As a Mid/Senior Data Scientist at Capitec, your purpose is to drive Capitec’s AI strategy, with the unique opportunity to shape and own this vision from the ground up. This involves leveraging advanced, practical knowledge of state-of-the-art machine learning principles and techniques, including deep learning, natural language processing (NLP), and reinforcement learning, to develop innovative models and solve complex business challenges. You will be responsible for designing, implementing, and optimising predictive models and intelligent algorithms to uncover actionable insights that drive strategic decision-making across departments.
- The role also includes the full machine learning lifecycle, from data preprocessing and experimental design to production-level model deployment. As a Senior Data Scientist, you will gather requirements and manage stakeholder engagement across the business, including executive-level management. Additionally, you will bring expertise in deep learning frameworks such as TensorFlow and PyTorch, while mentoring junior data scientists to foster a collaborative and growth-oriented team environment.
- We are looking for mid/senior data scientist, ideally located in the western cape, with roles also open in Sandton. Our current requirements span business banking client experience delivery, retail banking client experience delivery, marketing client insights and engagement, retail credit management, and risk. This advertisement is intended to
Areas of focus:
- Business banking client experience delivery,
- Retail banking client experience delivery,
- Marketing client insights and engagement,
- Retail credit management,
- Risk
Our ideal candidate has:
- 6+ years of experience in a Senior Data Science role
- Bachelor’s degree or higher.
- Hands-on experience deploying AI/ML solutions in real-world applications
- Experience with advanced data science principles including NLP, deep learning, reinforcement learning, or time-series modeling.
- Python/R experience and relation/non-relational databases.
- Familiarity with modern deep learning frameworks (Pytorch, Tensorflow)
- Stakeholder engagement management up to executive management.
- Github experience or Git
- AWS/Azure/GCP
Competencies:
- Strategic thinking
- Leadership ability
- Problem solving skills
- Decision making skills
- Researching skills
- Project Management skills
- Planning, organising and coordination skills
Education:
- Completed a degree or higher
Ideal:
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Purpose Statement
- To lead and develop a team of Strategic People Partners (SPPs) in delivering business-aligned people strategies, workforce plans, and change outcomes across a defined portfolio. The role translates enterprise-wide HR strategy into actionable, measurable plans that drive workforce productivity, cost efficiency, and cultural transformation. It ensures consistent consulting standards, builds leader capability, and embeds data-driven decision-making in collaboration with HR COEs, HR Operations, and People Insights.
Experience
Knowlegde/Experience:
- 8–10+ years progressive and transformational HR experience in a complex organisation(s).
- Of which at least 3 years as a generalist or strategic people partner to one or more dedicated client areas, supporting key clients at a senior management level within the organisation
- 3–5 years leading teams (ideally HRBP or SPP teams) in complex environments
- Must have proven experience in the building and maintaining of key client relationships at senior management and executive level within an organisation
- Proven experience in the leading, planning and managing of multiple change HR initiatives/tasks/processes/project deliverables across a dedicated client area/areas
- Experience in leading general HR processes and procedures as a business partner, including org design, ER/IR, performance management, career development reward governance, and transformation.
- Strong understanding and exposure to of HR systems, governance, and risk management
- Commercial and financial fluency
- General management practices and principles
- People management practices and principles
Qualifications (Minimum)
- Bachelor's Degree in Human Resources or Industrial/Organisational Psychology
Qualifications (Ideal or Preferred)
- Honours Degree in Human Resources or Industrial/Organisational Psychology
Skills
- Commercial Thinking Skills
- Decision making skills
- Facilitation Skills
- Interpersonal & Relationship management Skills
- Leadership Skills
- Strategic Thinking Skills
Method of Application
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