Vice President – Data Strategy & Transformation
London – Hybrid (2–3 days per week)
£120,000 – £150,000 + Benefits
About the Role
Our client is a specialist investment firm focused on the financial technology sector, with a strong track record of helping businesses accelerate growth and unlock value through data and technology. They’re now seeking a Vice President of Data Strategy & Transformation to join their London team.
This is a high-impact role sitting within the firm’s innovation and value creation arm, working closely with portfolio company leadership teams and internal stakeholders to design and deliver data transformation initiatives across the fund.
You’ll lead data diligence and strategy efforts, drive portfolio-wide data maturity, and ensure data becomes a true strategic lever for business growth and operational excellence.
Key Responsibilities
- Lead data due diligence for new investments, developing value creation plans that use data as a driver of business improvement.
- Conduct data maturity assessments across portfolio companies, identifying opportunities to enhance data capabilities.
- Partner with portfolio leadership teams to execute data transformation initiatives and deliver measurable impact.
- Design scalable, secure data infrastructure within cloud environments (AWS, Azure, or GCP).
- Define and embed data governance frameworks ensuring compliance with regulations such as GDPR and CCPA.
- Translate data insights into actionable business recommendations for senior stakeholders and C-suite leaders.
- Track and report on data transformation progress, ensuring alignment with fund-wide value creation goals.
What We’re Looking For
- Proven experience in data strategy, transformation, or advisory, ideally within private equity, financial services, or top-tier consulting.
- You’ll likely come from a background in data strategy consulting or financial services transformation, with around 7–15 years of experience.
- Candidates with experience at these firms such or those who have led data strategy in PE-backed organisations, will be particularly well suited.
- Deep understanding of the financial services data landscape - including data domains, regulatory requirements, and operational challenges.
- Experience leading data-led value creation or due diligence for financial or PE-backed clients.
- Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures.
- Knowledge of machine learning applications (e.g. Predictive modelling, AI, analytics) and their business use cases.
- Expertise in data governance and compliance (GDPR, CCPA).
- Excellent communication and stakeholder management skills, with confidence engaging at C-level.
- Comfortable operating in fast-paced, ambiguous environments with multiple projects running concurrently.
- A degree in a quantitative or technical discipline (Computer Science, Engineering, Mathematics, Economics) is expected, and an advanced degree (MBA or MSc) is advantageous.
Please note: Sponsorship is not available for this role.