Senior Data Insight & Governance Manager
£65,000-£70,000 Liverpool - Hybrid
I'm working in partnership with a leading UK organisation delivering large-scale public sector and employment services programmes to hire a Senior Data Insight & Governance Manager.
The role
This position goes far beyond traditional BI or reporting management.
- Leading multidisciplinary data and analytics teams
- Driving insight strategy across the organisation
- Developing data governance and quality frameworks
- Overseeing AI, machine learning, and advanced analytics initiatives
- Influencing business strategy through insight and evidence-led recommendations
- Building stronger relationships between technical teams and operational leadership
This is a leadership and influence role rather than a hands-on technical position.
What you'll be doing
Data & Insight Leadership
- Lead the organisation's Data, Insight, Governance, and Labour Market Intelligence capability.
- Develop and deliver the insight and analytics roadmap.
- Identify and prioritise high-value analytics initiatives across the organisation.
- Increase the visibility and impact of data and analytics across operational functions.
Governance & Data Quality
- Lead implementation and continuous improvement of data governance frameworks.
- Drive improvements in data ownership, stewardship, quality, and standards.
- Ensure data assets are trusted, accessible, and fit for purpose.
AI & Advanced Analytics
- Influence the direction of AI, Machine Learning, and advanced analytics initiatives.
- Sponsor the development of predictive models, AI-powered products, automation solutions, and advanced insight programmes.
- Establish governance and best practice around AI implementation and usage.
Stakeholder Management
- Act as a trusted advisor to senior leadership.
- Present complex findings and recommendations to Executive and Board audiences.
- Represent the Data & Analytics function at leadership forums and governance boards.
Team Leadership
- Lead and develop a multidisciplinary team including:
- Data Scientists
- Machine Learning Engineers
- Insight Analysts
- Labour Market Analysts
- Governance Specialists
- Build future capability across Analytics, Governance, AI, and Insight.
What they're looking for
Essential
- Significant leadership experience within Analytics, Data, BI, Insights, or Performance functions.
- Experience leading multidisciplinary teams, including analysts, data scientists, and machine learning professionals.
- Strong stakeholder management and executive communication skills.
- Experience developing analytics or insight strategies linked to business objectives.
- Strong understanding of:
- Data Governance
- Data Quality
- Performance Reporting
- KPI Frameworks
- Advanced Analytics
- Machine Learning concepts
- Experience working with environments such:
- Power BI
- Snowflake
- SQL-based platforms
Desirable
- Public sector, education, employability, recruitment, or welfare-to-work experience.
- Labour Market Intelligence exposure.
- AI and Generative AI initiatives.
- Enterprise data strategy development.
- Governance framework implementation.
Why join?
- Lead an established and growing Analytics function.
- Significant influence across multiple business divisions.
- Opportunity to shape future AI, Governance, and Advanced Analytics capability.
- Direct interaction with Executive and Board-level stakeholders.
- Autonomous role with genuine strategic impact.
- Hybrid working and strong work-life balance.
Package
- £65,000-£70,000 salary
- Hybrid working
- Strong pension and benefits package
- Clear progression opportunities
- High-profile leadership position
Interview process
- SHL Numerical & Verbal Assessment
- First Interview with BI Leadership
- Final Interview with Senior Leadership (ideally in person)
This role would suit a current:
- Data & Analytics Manager
- Head of Analytics
- Senior Insight Manager
- BI Manager
- Data Governance Lead
- Analytics Transformation Manager
- Head of Insight
looking to step into a broader strategic leadership role covering Analytics, Data Science, Governance, AI, and organisational data strategy.