Head of Data

Location: Hybrid Employment Type: Full-Time | Permanent Industry: Financial Services | Data Operations | Analytics | Tax Technology

WatersEdge Solutions is partnering with a global financial services business to recruit an experienced and commercially minded Head of Data . This is a high-impact leadership opportunity for someone who has successfully scaled a data, analytics, or operational function and is passionate about building strong teams, improving data quality, and using technology to drive measurable business value.

Reporting into senior leadership, this role will lead a strategically important department responsible for analysing complex financial and client data, identifying recovery opportunities, and ensuring the quality and integrity of the datasets that underpin the business’s service delivery. About the Role As Head of Data, you will take full ownership of the department’s strategy, operating model, people leadership, quality standards, governance, and use of technology. You will lead managers and team members across a high-volume, deadline-driven function, while partnering with Technology and AI teams to improve automation, scalability, and reporting capability.

This role is suited to a leader who combines strategic vision with strong operational judgement and who is comfortable working with complex data, senior stakeholders, and evolving business priorities. Key Responsibilities Department Leadership

Lead the Data department end to end, ensuring timely and accurate delivery of all outputs

Define and execute the department’s strategy, objectives, and operating model

Lead, mentor, and develop managers and team members

Build a culture of accountability, collaboration, and continuous improvement

Establish scalable structures, workflows, and service standards

Ensure appropriate governance, controls, and processes are in place

Report clearly on delivery, quality, risk, and performance metrics to senior leadership

Data Quality & Governance

Drive high standards of data quality, accuracy, and consistency

Design and embed robust quality assurance and control frameworks

Implement effective preventative and corrective controls

Monitor operational risk and strengthen data integrity

Promote best practice in data governance and continuous improvement

Distinguish root-cause process fixes from downstream quality checks

Technology & Automation

Partner with Technology and AI teams to identify and prioritise automation opportunities

Champion adoption of new tools, technologies, and working methods

Support the development of data infrastructure, repo

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