Jobs at Nedbank

To envision, lead and develop fit for purpose, integrated end- to end technical solutions across multiple technologies for the organisation, through inspirational technical leadership and visionary long-term thinking. Provide leadership across multiple initiatives guiding engineering lead practitioners to achieve product / programme alignment. To play a technical lead role in the solutioning and delivery of disruptive cloud Nedbank driven Fintech solutions

Job Responsibilities

• Analyse problems and formulate solution based on organisations boundaries, architectures and constraints: Needs to be achievable and operational, must push boundaries when required and continuously push for improvements.
• Take proposed solutions through relevant governance forums and obtain acceptance for solutions from relevant specialists (domain or technology).
• Collaborate and communicate and obtain buy-in from key stakeholders.
• Decomposition of the solution and assisting with the scheduling/sequencing work and identification of resourcing needs.
• Flesh out designs and contribute to functional and non-functional requirements.
• Assist software designers with lower level designs.
• Troubleshoot issues relating to technical delivery.
• Design with a holistic, robust and sustainable mindset.
• Apply a product management mindset (long term thinking).
• Mentor and coach software engineering practitioners.
• Keep abreast of the technical landscape on how it fits together.
• Understand constraints and risk and make the necessary trade-offs.
• Influence and negotiate with key stakeholders.
• Craft the end to end solution taking into consideration: people, technology, systems and data.
• Future proof end to end solutions as far as possible within the organisation constraints.
• Continuously build and enhance the technical assets that are touched by the solution to ensure long term sustainability.
• Grow the engineering lead practice through contributing to the engineering lead chapter.
• Drive organisational alignment across areas of accountability
• Provide coaching, mentoring and upskilling of others within area of expertise
• Support the achievement of the business strategy, objectives and values
• Stay abreast of developments in field of expertise
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities
• Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
• Participate and support corporate responsibility initiatives for the achievement of business strategy
• Seek opportunities to improve business processes, models and systems though agile thinking
• Ability to function and execute with minimum inputs and adjust direction based on new information.

Essential

Qualifications - NQF Level

• Diploma

Preferred Qualification

• BSc (Computer Science), BCom (Information Systems). Professional Qualification Level 6 (Look at new degree naming conventions)

Preferred Certifications

• Cloud Certification – AWS/Azure/Google/IBM/Oracle

Type of Exposure

• Management and integration of tooling related to DevOps practices in a Cloud environment
• Accuracy of realisation of design
• Analysing and interpreting quantitative and qualitative data for accurate design and implementation
• Conceptual design and managing production of websites and portals
• Multiple operating systems. Application programmes; Operating systems; IT infrastructure and system analysis
• Working with relevant software development languages

Minimum Experience Level

• 6 to 8 years line management or in a team lead capacity.
• 10 years IT Industry experience
• Experience in using cloud technologies in solving problems, namely Amazon Web Services, Azure, Google Cloud etc

Skills

• Demonstrating a proficiency across a number of diverse technologies. I.E. Java, Python, .NET, Ruby, Perl, etc.
• Demonstrating an understanding of clustered application containerization technologies, i.e. Docker Swarm, Kubernetes.
• Discuss where you have incorporated a custom or off the shelf analytics engine (Google Analytics, Omniture) into a greater solution to gather customer insights.
• Demonstrating an understanding of Dev-Ops and has experience with one or more tools within a continuous digital delivery lifecycle. These can include Jenkins, CircleCI, Bamboo, Buddybuild, Testflight, HockeyApp etc…
• Maintain awareness of opportunities provided by new technology to address challenges or to enable new ways of working
• Hands on operational experience in a (Kubernetes, Docker) containerized environment
• Project delivery using agile methodology
• Integration experience – working with REST/SOAP interfaces
• Project delivery with an offshore delivery team
• API Design – definition of swagger
• Development experience – API Gateway (IBM API Connect, AWS, Azure); NodeJS/Java/Go
• Documentation – system analysis and design
• Microservices Architecture

Technical / Professional Knowledge

• IT Architecture
• IT Concepts
• Systems Analysis and design

Behavioural Competencies

• Technical/Professional Knowledge and Skills
• Decision Making
• Collaborating
• Innovation
• Influencing
• Managing Work
• Continuous Learning
• Coaching

go to method of application »

The Data Risk Manager provides a comprehensive range of Data Risk Management services to the enterprise and cluster DMO’s and business functions. The Data Risk Manager is a second Line of Defense (LoD) Risk function.

Job Responsibilities

• Support, partner and influence internal business clients.
• Participate in risk & data management forums, contribute to continuous improvement of risk and data management practices.
• Provide thought leadership and guidance to business and supporting functions in implementing data and risk management practices.
• Provide oversight and guidance during risk assessments, and partner with the business to develop appropriate controls and effectiveness testing.
• Stay current on the changing data ecosystem, industry initiatives and regulatory environment in order to understand the impacts to the business.
• Undertakes an independent validation of the health of the data in the organisation, including data quality, adherence to data governance standards, the embedment of data policies, processes and DMO capacitation.
• Effectively challenge the 1st LoD business partners, 2nd LoD advisors (Compliance, Legal & Risk) and 3rd LoD (Auditors) on data risk matters.
• Demonstrate the business value in Data Governance to all levels of the organization
• Partner with enterprise data teams across the 1st & 2a (LoD) business partners, providing advice and guidance to align strategies & corresponding capabilities to ensure a consistent, best in class governance framework
  • Drive for decisions regarding the management of the data risks
  • Analyse data and form an independent assessment /opinion of data risks and;
  • Identify existing risks themes and/or trends that indicate emerging data risks;
• Design and manage the development of an independent view of the Business Data Risk Profile as well as other monitoring tools to enable Data Risk Managers to:
• Oversee the data governance strategy, providing support, facilitating and coordinating data governance activities

The position requires strong communication and customer liaison skills, the ability to work independently, a strong analytical and data mind set, technical modelling and DQ skills and the ability to rally people to a common course.

The role/team will require one to focus on all the data domain areas on the DAMA-DMBOK.

Data Governance

Principal Responsibilities

• Assist in creating, defining and maintaining the Data Governance strategy, framework, process documentation, and data governance policies to effectively manage Nedbank’s data.
• Engage and align with businesses priorities to ensure that the availability, usability, integrity, consistency, auditability and security of data is appropriate and within the risk appetite of the organisation.
• Ensuring adherence and alignment to Nedbank enterprise data initiatives and strategies
• Provide feedback to the cluster DMO’s, Data Management Working Group, Nedbank Data Governance Council and other forums with respect to relevant data concerns and analytical findings
• Be consulted for input on, and be informed of, all data management services as they relate to data
• Provide input, related to data quality deliverables.
• Actively participate in the workings and outputs of the various DMO Workgroups
• Conduct data health investigations across the Enterprise cluster DMO’s and enabling technologies.

Additional Principal Responsibilities

Data Analytics and Advisory

• Become a trusted advisor to stakeholders and influence decision-making by providing guidance and support on data practises, including appropriate analytical methods and solutions.
• Stakeholder engagement to ensure understanding of data challenges, requirements and opportunities
• Engage with stakeholders to obtain an understanding of their data quality practices to contract, manage and validate that they meet expectations.
• Investigate and report findings
• Conduct root-cause analysis and present finding in a scientific manner
• Advise project teams and system owners on data governance standards during the design and implementation of new technologies and systems
• Validate embedment of data management practises in all enablement activities.

Data Quality Management

• Ensure efficiency of data controls at a process-level throughout the data life-cycle
• Validate how data is defined to manage data dictionaries, data glossaries and associated processes.
• Validate and advise on data cleansing initiatives
• Measure and report on data states
• Assist in formulating different types of data rules and to manage the life-cycle of these rules
• Validate data rules at an ETL level, and understand rules according to use case (eg measure, validate, profile, etc)
• Use technology to analyse data – see skills

Data Modelling And Architecting

• Validate the appropriate modelling and management of data artefacts according to specific use cases like:
  • Data flow and control improvements
  • Logical to physical transformations
  • Data ownership models
  • Lineage views
  • Validate the quality of source system data design
  • Contribute to the building of a data architecture body of knowledge
  • Derive value from data modelling and architecting by initiating use case-driven initiatives acting on modelling outputs

Minimum Experience LevelRecommended

• 5 to 7 years of data governance and data management experience, with 5 years of progressive leadership experience
• Experience in Financial Institutions
• Post-grad qualification in related field
• 7 years technical data management experience