Executive Head: Group Data & ML Platform – (EE) – Cape Town
This is an internal product leadership role focusing on empowering and accelerating autonomous value creation through Insights and Machine Learning (ML) across the Group. With your mastery of Product Management, your expertise in Data & ML Platforms and your experience of building and leading high performing, autonomous Technology teams, you’ll ensure business teams across the group make data a source of competitiveness for them in their markets.
Responsibilities
- Build a high performing platform organisation:
- Build a small group of lean, high-ownership, high-agency teams with clear missions and success metrics and ensure continuous performance improvement each month. Success will be 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 goals.
- Cultivate a growth-oriented environment for top talent:
- Make your organisation the best place for data product and engineering professionals to flow and grow. Success will be measured by the high volume of world class talent you’ve incubated, attracted and retained, further evidenced through team engagement surveys.
- Achieve unmatched platform spend efficiency:
- Consolidate all data infrastructure spend towards in-house capabilities and teams, and as a result achieve the best cost efficiency in overall spend the group has ever seen. Success will be measured by a significant reduction in total cost of data platform as a % of operating budget, with no spend on external agencies, despite an increase in platform capabilities and uptake.
- Build high trust and engagement with stakeholders across the company:
- Build trust through strong delivery and outstanding product management practices for engaging with internal stakeholders. Success will be measured by the unanimous approval of the team by the group data operating board and overwhelming positive feedback through user surveys.
- Consolidate all Group data onto one modern cloud-based platform:
- Bring all of the Group’s data onto a single coherent cloud-based platform for analytical purposes, with a coherent set of visualization, insight and Prediction or ML tools as needed to create value from data across the group. Ring-fence all operational (non-reporting) workloads on the current on-prem warehouse and find appropriate owners for their modernization on separate technologies. Success will be measured by 100% adoption of the data platform by all data science, analytics and reporting teams across the group and successful maintenance of non-analytical tasks prior their migration.
- Enable cost reduction and enhanced agility of operational reporting:
- Enable accelerated delivery and agility of regulatory reporting, reducing the time and total cost to maintain reports and adapt to new regulatory changes. Success will be measured by reduced timeframes and costs for regulatory reporting.
- Minimize time and cognitive load on compliance:
- Make it easy to comply with data privacy and governance policies, and effortless to comply with security policies. Success will be measured by negligible time and cognitive load spent adhering to these policies across the group.
- Became a valued member of the Group Technology Leadership Team:
- Through your initiatives, your influence and sincere interest in bringing others along with you, make a material contribution to the overall goals and strategy of the Group Technology Leadership team.
Requirements
Qualifications
- Grade 12
- Bachelors Degree in Engineering, Science or Information Technology is recommended.
- Management Qualification and Data Certifications will be advantageous.
Experience
- 10+ years experience in leading Data Platform teams with at least 5 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.
- Experience as a Delivery Lead requiring executive level influence and personally operating at a senior management level in engineering or Data engineering teams would be advantageous.
- Good knowledge and understanding of interaction between data, technology and business applications for insights and improving decision-making.
If you would like to submit your CV for consideration, please fill out this form and we will get in touch with you shortly.
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