Intelligent Solution Lead at Nedbank

Job Purpose

The Digitization and Automation team is leading digital transformation by building highly available, scalable digital platforms for the Nedbank enterprise. The team is looking for an Intelligent Solution Lead to facilitate the effective design of fit for purpose business automation solutions and ensuring the overall technical quality of these solutions throughout their life cycle in line with the agreed business requirements. The goal of this team is to design and develop high-quality intelligent solutions leaning on Machine Learning and AI to solve business problems / challenges, using both off-the-shelf and open-source technologies. If you strive towards developing sustainable, scalable, and secure code for every single application you develop, while keeping in mind the customer needs, then you are what we are looking for. You’ll get the chance to work with experienced engineers across our enterprise with a chance to move across varying automation technologies of the future. 

Job Responsibilities

• Design, develop and deploy appropriate intelligent automation solutions by leveraging AI and ML components to solve the business case.
• To take ultimate accountability for the overall quality of automation solutions and ensure alignment and seamless integration into the overall IT frameworks and infrastructure.
• Check and sign off on all artefacts created during the development process.
• Evaluate and, with business owner, sign off on the user acceptance tests.
• Build and maintain a repository of quality reusable artefacts for the designed business solution.
• Advises senior management and technical staff at all stages of the automation process regarding the efficient selection, care, maintenance, upgrading and phasing out of automation solutions).
• Facilitate compliance with accepted governance frameworks.
• Set and maintain departmental professional standards.
• Conduct benchmark studies and identify market leading practices.
• Provide guidance and oversight to line management and mentorships to analysts.
• Identify any specialised resourcing needs to mature and grow the team in AI/ML.
• Arrange and maintain the required access to the client and client systems.
• Lean on global industry trends to continuously improve the divisions approach to automating the business working environment.
• Attend when required the Group IT Technical and Steering committees.

Essential Qualifications - NQF Level

• NQF Level 8 – Engineering, Computer Science, or Computations and Applied Mathematics, Qualification in Computer Programming, Information Technology or Information Systems.

Preferred Qualification

• Foundation Management Programme , Advanced Diplomas/National 1st Degrees

Essential Certifications

• Proficient Certification in relevant technologies
• Preferred Certifications
• Azure/DevOps Developer Associate.
• Microsoft Power Platform.
• SAFe or Agile Scrum Master Certification.

Minimum Experience Level

• Five+ years of software development experience primarily in developing and deploying AI/ML business solutions.
• A proven track record of supporting operations with ICT or automation solutions.
• At least three years’ experience of operating systems within a large financial services institution.
• A minimum of two + years people management.

Technical / Professional Knowledge

• Budgeting
• Business administration and management
• Change management
• Client service management
• Diversity management
• Employee training/development
• Governance, Risk and Controls
• Operations planning
• Principles of project management
• Relevant regulatory knowledge
• Service level agreements
• Staff resource planning
• Strategic planning
• Business writing skills
• Management information and reporting principles, tools and mechanisms
• General Communication Skills
• Estimations
• Organisational structure
• People practices
• Asset health management discipline

Behavioural Competencies

• Earning Trust
• Coaching
• Customer Focus
• Guiding Team Success
• Driving for Results
• Planning and Organizing