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# Senior Data Insight & Governance Manager

- **Company:** Harnham
- **Location:** Liverpool, UK
- **Experience:** Expert
- **Salary:** £65,000.0 - £70,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Digital Assets, Data Intelligence, Machine Learning, Power BI, SQL Databases, Snowflake, Data Strategy, Data Analytics, Performance Monitor
- **Published:** November 3, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-data-insight-governance-manager/57518901

## About the Role

* 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.

## Description

Additional monthly team day and UK travel to operational sites

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.

This is a highly visible leadership role, sitting as the number two within the wider Business Intelligence function and acting as a trusted advisor to Directors, Executive stakeholders, and Board-level audiences. You'll lead teams spanning Insight, Data Science, Machine Learning, Governance, and Labour Market Intelligence while helping shape the future analytics strategy of the organisation.
The role

This position goes far beyond traditional BI or reporting management.

You'll be responsible for:

 * 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 doingData & 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.