At a Glance
- Tasks: Lead data and analytics teams to drive insight strategy and governance.
- Company: Join a leading UK organisation making an impact in public sector services.
- Benefits: Competitive salary, hybrid working, strong pension, and clear progression opportunities.
- Other info: Autonomous role with significant influence across multiple divisions.
- Why this job: Shape the future of AI and advanced analytics while influencing business strategy.
- Qualifications: Proven leadership in analytics and experience with multidisciplinary teams required.
The predicted salary is between 65000 - 70000 £ per year.
- 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
- 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.
- #J-18808-Ljbffr
Senior Data Insight & Governance Manager in Liverpool employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Insight & Governance Manager in Liverpool
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We think you need these skills to ace Senior Data Insight & Governance Manager in Liverpool
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
