VP Data Technology Transformation - Private Equity
Client Server
In this role you will lead data strategy, diligence and execution across the fund and its portfolio companies, partnering with c-suite investors and data technology counterparts to align strategies and drive scale. You will oversee data diligence efforts, develop value creation plans, and assess data maturity to track progress and implement strategies that improve operations and enable innovation. The position sits at the intersection of finance, technology and transformation, offering a high-impact opportunity to shape data-driven outcomes across multiple businesses. A strong hook is the chance to influence data governance, monetisation opportunities and technology choices at scale in a top
Pay / Benefits- Competitive salary to 150k
- Bonus
- Hybrid working
- Extensive benefits package
- Lead data strategy, diligence and execution across the fund and portfolio companies
- Collaborate with c-suite investors and data technology counterparts to align data initiatives with business goals
- Drive data diligence efforts and create value creation plans
- Conduct data maturity assessments and monitor progress of data initiatives
- Implement data strategies to improve operations, efficiency and innovation
- Ensure data governance and information security throughout initiatives
- Experience in a VP of Data / Head of Data role within financial services or consulting, focused on data diligence, value creation and execution
- Strong technical background: Python, Cloud environments (AWS, Azure, GCP) and modern ML libraries (PyTorch, TensorFlow, Scikit)
- Advanced experience in data maturity assessments and developing data strategies for transformation and measurable outcomes
- Deep knowledge of data governance frameworks (GDPR, CCPA) and data/info security
- Excellent communication and stakeholder management, able to translate complex concepts to c-suite and push back when needed
- STEM degree
- strong communication
- stakeholder management
- ability to translate complex technical topics for executives
- Python
- AWS
- Azure
Reference: WJ-747_30186256