Overview
The VP of Analytics Engineering will drive the development of a new Analytics Engineering capability within a leading global private equity fund. This role, positioned at a VP level, requires strong engineering foundations and the ability to lead a small engineering team while collaborating closely with senior business and investment stakeholders. The successful candidate will play a crucial part in shaping architecture, delivery standards, and translating complex business requirements into scalable data products.
Responsibilities
- Lead the technical direction and delivery of a new Analytics Engineering capability.
- Act as the primary technical authority across architecture, data modelling, engineering patterns, and platform design.
- Supervise a small engineering team from both technical and delivery perspectives.
- Engage with senior business and investment stakeholders to translate problems into scalable technical solutions.
- Establish and uphold standards relating to data quality, reconciliation, lineage, testing, and governance.
- Design scalable integrations, data models, and production engineering workflows.
- Contribute to integrating AI and automation to enhance engineering delivery and data workflows.
- Support the growth and structure of the Analytics Engineering team.
Requirements
- Proven background in software or data engineering.
- Experience leading small engineering teams with technical credibility.
- Proficiency in SQL, Python, and data modelling.
- Demonstrated experience in building and managing production data platforms or data products from end to end.
- Ability to challenge engineering decisions on architecture, modelling, and production design.
- Strong stakeholder engagement skills with the confidence to work with senior non-technical audiences.
- Experience in deriving technical solutions from ambiguous business problems.
- Background in fintech, insurtech, insurance, investment management, or financial services is highly desirable.