Enterprise Data Governance Manager
Milton Keynes - 2 days on site per week
6 months
MAIN RESPONSIBILITIES
- Lead and scale the development of the Data Governance capability, as a key pillar of the organisation's enterprise data strategy, establishing and embedding data governance as a core organisational capability which is integral to business decision making, regulatory compliance and change delivery frameworks.
- Collaborate with other Enterprise Data capabilities (e.g. Data Architecture, Business Analytics, Data Products, Data Engineering), business functions and strategic change programmes to provide end-to-end data and governance services.
- Own and lead the Enterprise Data Governance Framework, aligning it with the enterprise data and business strategies, to enable the business to become a data driven company in line with VWFS global strategy.
- Develop, coach, engage, motivate and manage the teams to perform at their best, role modelling effective people leadership and enabling a positive and inclusive culture.
- Ensure compliance with applicable regulatory (ECB, FCA, PRA etc.) and HQ data governance maturity requirements, acting as the UK single point of contact (SPOC) for Enterprise Data Governance and interfacing directly with supervisory teams, as appropriate.
- Implement Data Ownership and Data Stewardship, partnering with role holders up to Director level to establish the roles and responsibilities that ensure effective management of critical data assets.
- In collaboration with Enterprise Data Architecture own and implement Data Governance technology that supports effective management of data assets and enable the business to fully utilise and benefit from the technologies via training and ongoing support.
- Lead and define the establishment of data quality management, enabling the business to implement sufficient data quality controls and effective data risk and issue management to ensure critical data is fit for purpose for data consumers and meets regulatory expectations.
- Providing regular reporting on progress of data governance, data quality controls and data quality issues to Data Steerco, and risk committees.
- Lead and define establishment of metadata management, involving data documentation (data structure, definitions, lineage, reports etc.), to create a data catalogue that provides all colleagues with a complete understanding and trust in the organisation's data assets that are available.
- Contribute to the establishment of Analytics and AI data governance through policies, standards, and cataloguing for input data (e.g. data annotation, collection, handling) and output data usage, to enable creation and responsible use of reliable, ethical, and compliant Analytics and AI data products that are trustworthy, free from biases, and comply with data regulation.
- Effectively manage the Enterprise Data Governance backlog to prioritise items that deliver the most business benefit, track Data Governance performance, and adopt a continuous improvement mindset.
EDUCATION, TRAINING & EXPERIENCE
- Qualification in data management or data governance (e.g. DAMA CDMP, DCAM) or equivalent experience.
- Experience of successfully leading a team (or large / multi‑functional teams) and achieving results through people.
- Experience of driving performance through effective coaching and mentoring, developing talent and performance management.
- Significant experience and skills leading, defining, and implementing enterprise Data Governance in a Financial Services environment.
- Strong experience and skills in managing and reporting insightful relevant information to internal and external stakeholders at senior levels.
- Good experience of working as part of an Enterprise Data Management (EDM) capability.
- Knowledge of European and UK data related regulatory requirements (RDARR / BCBS239, GDPR etc.) and emerging trends and issues.
- Sound knowledge and experience in agile delivery and data strategy.
- Experience in Automotive Finance or retail consumer finance (B2C and B2B) (desirable).
SKILLS & PERSONAL CHARACTERISTICS REQUIRED
- Strong team leadership skills and the ability to inspire, develop, engage and motivate colleagues to perform.
- Proven coaching and mentoring skills with an ability to manage performance, hold difficult conversations and give constructive and motivational feedback.
- Ability to set standards in terms of behaviour, culture and performance and ensure the standards are embedded within their area of responsibility.
- A delivery mindset, with ability to focus on getting the job done and an ability to resolve issues and remove blockers through strong leadership, influencing and communication skills.
- Highly developed written and verbal communication skills, with the ability to tailor communications for multiple stakeholder groups (e.g. Senior Leadership, the data community and front‑line teams); convey specialist concepts in simple terms through a range of techniques (e.g. diagrams, data visualisation, infographics) and present effectively to board‑level.
- Ability to build strong working relationships and credibility with senior stakeholders.
- Emotionally intelligent, resilient and energetic.
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