Job Details

Who are we?

Company Group Technology is responsible for the provision of a digitally enabled technology service as a group COE, drive business and transformation and provide group-wide digital and data architecture. We operate the various technology platforms and shared services, ensure Cyber and Information Security resilience, and act as technology governance and risk orchestrator for technology across Company.

What will you do?

Our Client is on a transformation journey to be an innovative company at the forefront of the financial services industry’s digital transformation. By harnessing advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML), we aim to redefine the financial landscape with intelligent, advice led solutions. To do this, we need to be a net producer of technology, rather than a net consumer and engineering leaders are a critical part of this mission.

Reporting to the Group Data & ML Platform Tech Lead, this is an engineering leadership role focusing on empowering and accelerating autonomous value creation through Insights and ML across Company Group. With your mastery of engineering, your expertise in Data & ML Platforms and your experience of building and leading high performing, autonomous technology teams, youll ensure business teams across the group make data a source of competitive for them in their markets.

What will make you successful in this role?

What success will look like for you 12 months into the role.

• Build a configurable data ingestion platform to collect and protect data from any on-prem or cloud-based source within two weeks or less: Through a mixture of building and buying, youve assembled a tool suite of ingestion tools, optimized for cost efficiency and reliability. Success will be measured by the consistent achievement of the two-week ingestion target while maintaining high reliability and security.

• Build a high performing engineering team : You’ve built a lean, high-ownership, high-agency teams with clear missions and success metrics and ensured continuous performance improvement each month. Success was measured by the consistent delivery against your service level objectives (e.g. new data acquired from any source in 2 weeks or less) and the achievement of your yearly OKR’s.

• Define and measure team success : Define or refine success metrics and Service Level Objectives (SLO’s) for your part of the platform to cover adoption, satisfaction, cost as well and reliability. Service Level Indicators (SLI’s) such as accuracy, recency and latency. Inspire your entire team to take full ownership of their performance as measured through these metrics. Success will be measured by the continuous improvement of performance the metrics as well as unanimous approval of their definitions.

• Ensure your teams have everything they need to be successful : Identify the capability (i.e. skills) and capacity (i.e. enough of them) your team needs to be successful, with little dependency on other teams throughout execution. Think holistically, from data science and research to design and engineering. Attract, hire and onboard all talent you identify in your planning. Success will be measured by team delivery and satisfaction, as well as the number of new hires who meet our high-performance expectations on their 12 month anniversary.

• Ensure the team has what they need from other teams and contract with the other teams : Contract with the other teams you depend on to ensure clear boundaries and high performance to the level you need to enable your own high performance. Success will be measured by the absence of externally imposed blockers based on things the team can (or should) control.

• Cultivate and maintain a culture of excellence and continuous improvement fostering : Foster a culture of ownership, curiosity, and continuous learning in your teams. Work with the delivery lead to carry out pre and post-mortems, sharing lessons learned across the organization along with how you are improving based on those lessons. Championed the development of your direct reports and teams, as they self-assess and develop their own individual learnings. Success will be measured by the continuous growth of practices and individual excellence in the team.

Qualification

• Matric
• National Diploma in an Information Technology related discipline or a bachelor’s degree in computer science, Statistics, Informatics, Information Systems, or a quantitative field will be recommended.

Experience

• 7+ years’ experience in leading engineering teams with at least 2 in a modern context with cloud technologies and autonomous high performing team organisational patterns
• A track record of high impact and investing in your own development.

Skills and Thinking Preference

• Look for ways to do, instead of reasons not to. You are high agency, high ownership in everything you do. Knowing that we own our future, only we can make it happen. If you find something that keeps us from our mission, you own it or work collaboratively with others until you find the right owner of it.
• Where some see impossible, you see a way. You have strong conviction in our ability to innovate and bring financial services, and financial confidence to everyone across the continent. Turn obstacles into opportunity, chance into change.
• You move fast and fix things. You publish early and often, when fail, you learn and move forward again. You know that speed gives you the licence to fail, because youre moving fast enough to correct course.
• You are creating more with less. Knowing that the biggest impact is born of the smallest acts, scale is built into your thinking from day 1. This is not about meeting the needs of thousands; its about exceeding the needs of millions. And working through small and mighty teams is way well do it.
• You seek out and value different perspectives. Believing that when we change how we look at things, how things look for us also changes. Making tomorrow not just different, but better.

Personal Attributes

• Manages complexity – Contributing through others
• Plans and aligns – Contributing through others
• Optimises work processes – Contributing through others
• Tech savvy – Contributing through others
• Strategic mindset – Contributing strategically
• Collaborates – Contributing strategically

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