Data Governance and Controls Manager

Trading since 1989, e.surv Chartered Surveyors is the UK's number one residential surveyor and the largest provider of property risk expertise and residential surveying services. To put it into numbers, we complete more than one property inspection every 12 seconds and employ over 600 surveyors from Land’s End to John O’Groats and Northern Ireland. This gives us the flexibility to offer nationwide coverage combined with invaluable local knowledge.

We're part of the LSL Property Services Group PLC which includes household names Your Move and Reeds Rains as well as the mortgage network PRIMIS. We work with lenders, intermediaries, social housing entities and estate agents in addition to private customers.

We are currently recruiting for a Data Governance and Controls Manager.

This role is a key managerial position within e.surv’s Data Management function, responsible for implementing and enhancing the organization’s Data Governance Framework. The Data Governance Manager will oversee the management and control of data throughout its lifecycle, ensuring compliance with corporate and regulatory standards. The individual will play a crucial role in supporting compliance efforts, mitigating data-related risks, and maximizing the value of e.surv’s

data assets. Collaboration with senior stakeholders, technology partners, and project teams is essential to prioritize data integration in all strategic initiatives. The position combines strategic oversight with hands‑on involvement, engaging in projects and systems development to embed governance controls and ensure best practices in data management. Additionally, the role will focus on improving data quality through enhanced visibility and monitoring, providing technical and process support to data owners and stewards to address data issues effectively.

Ultimately, this position is vital for ensuring that e.surv’s data is accurate, complete, and trusted, enabling informed and compliant decision‑making.

Develop and Maintain Governance Frameworks:

Establish and refine e.surv's data governance policies, standards, and frameworks to align with best practice models such as DAMA‑DMBOK, BCBS
239, and PRA SS1/23, as well as relevant regulatory guidelines.

Drive Ownership and Stewardship:

Foster a culture of data ownership and stewardship across e.surv’s user communities. Clearly define roles, responsibilities, and escalation paths for each data domain to promote accountability and responsible data management.

Implement Data Controls and Monitoring:

Establish comprehensive data controls and quality rules throughout the data lifecycle to ensure data accuracy, completeness, and timeliness. Utilize mechanisms such as data lineage tracking, Risk Control Self‑Assessments (RCSAs), Key Risk Indicators (KRIs), and quality scorecards to monitor performance and highlight key risk indicators.

Regulatory and Audit Engagement:

Serve as the primary contact for regulatory reviews and audits related to data governance and management. Ensure compliance evidence, controls, and remediation actions are transparent and well‑documented, and coordinate responses to audit findings.

Data Culture, Training, and Awareness:

Develop targeted training programs to enhance data literacy and support a strong data culture. Ensure all employees understand their roles in maintaining data quality and integrating governance principles into daily operations.

Collaboration with Risk and Governance Functions:

Cultivate relationships with risk, compliance, and corporate governance teams to align controls and reporting, facilitating the identification and mitigation of data‑related risks.

Oversight and Continuous Improvement:

Collaborate with audit functions to provide oversight of e.surv’s data governance. Use insights from reviews and operational feedback to drive improvements in data control maturity and compliance.

5+ years of experience in and understanding of concepts and frameworks pertaining to Data Management‑ Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata…