At a Glance
- Tasks: Lead the development of data and AI governance frameworks and ensure ethical data use.
- Company: Join Connells Group, a forward-thinking company focused on data transformation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team that values innovation and collaboration.
- Why this job: Make a real impact by embedding governance in innovative data initiatives.
- Qualifications: 5+ years in Data Governance with strong stakeholder engagement skills.
The predicted salary is between 70000 - 90000 Β£ per year.
We are seeking an experienced Group Data & AI Governance Lead to join our Technology team in Milton Keynes, responsible for establishing and scaling enterprise-wide data and AI governance as a core business capability.
This is a strategic role responsible for defining governance frameworks, activating business ownership, and embedding trusted, compliant and ethical use of data and AI across the organisation.
Working at the heart of our data transformation agenda, you will help ensure that governance becomes part of how the business operates and embedded in our Fabric Group Data Platform - not a compliance exercise.
We offer a hybrid working arrangement with one day per week in our Milton Keynes office.
What You'll Do You will lead the development and implementation of the Group Data & AI Governance Operating Model, partnering with business leaders, technology teams, Information Security, Data Protection and Risk functions to drive governance adoption and accountability.
Key responsibilities include: Defining and maturing enterprise Data & AI Governance frameworks, policies and standards.
Establishing Data Domains, Sub-Domains, Critical Data Assets and Critical Data Elements aligned to business capabilities.
Activating business ownership through Data Owners, Data Stewards and Data Custodians.
Building and leading governance forums, stewardship communities and decision-making structures.
Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management.
Driving enterprise data quality management, issue remediation and continuous improvement.
Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring.
Defining governance KPIs and measuring adoption, maturity and control effectiveness.
Ensuring governance is embedded into data products, analytics, AI initiatives and delivery lifecycles.
What Success Looks Like You will help create a governance culture where: Business capabilities are aligned to clear data domains and ownership models.
Critical business data is trusted, well-defined and fit for purpose.
Metadata, lineage and classifications are visible and actively maintained.
Data quality issues are identified, managed and resolved through accountable ownership.
AI solutions are governed responsibly, transparently and ethically.
Governance enables innovation rather than creating unnecessary bureaucracy.
About You We're looking for someone who combines strategic thinking with practical delivery.
You will bring: 5+ years' experience in Data Governance & broader Data Management.
Proven experience implementing enterprise data governance frameworks and operating models.
Experience establishing data ownership, stewardship and domain-based governance models.
Knowledge of UK GDPR, risk management and information governance practices.
Strong stakeholder engagement and influencing skills across both business and technology teams.
Excellent communication, facilitation and change leadership capabilities.
Desirable experience includes: Strong knowledge of Microsoft Fabric, Azure and Microsoft Purview.
Responsible AI or AI Governance frameworks.
DAMA, DCAM, TOGAF or related methodologies.
Large-scale data transformation programmes.
Data catalogue, metadata and lineage management tooling.
Connells Group UK is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.
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