Data Analytics Manager (Individual Contributor)

We're seeking a Data Analytics Manager (Individual Contributor) to shape the future of UK Data by embedding data architecture, governance, and business context right at the inception of major strategic initiatives.

You will champion semantic clarity and data lineage, building the foundational metadata layer required for modern AI and agentic tooling to safely consume enterprise data. You will also translate complex, ambiguous commercial intent across marketing, decisioning, and MI into robust, scalable, and buildable data requirements.

As a senior individual contributor, you will lead high-impact initiatives, delivering strategic influence and technical authority without direct people management. You will design and deliver reusable data services that eliminate repetitive build cycles and establish high-quality data practices as the effortless organisational standard.

Responsibilities:

• Partner with cross-functional project teams at inception to establish data requirements, lineage, and governance before solutions are finalised.
• Capture semantic definitions and conceptual relationships from day one, establishing an AI-ready data catalogue rather than relying on retrospective clean-ups.
• Collaborate with commercial teams to deliver data solutions such as Reporting, Decisioning, and MI to translate business ambitions into dependable data services.
• Design, engineer, and promote reusable data services and products to ensure teams across the business do not reinvent data infrastructure from scratch.
• Act as a trusted, authoritative voice for Data in non-technical and executive forums, minimising project delivery risk and late-stage rework.

Requirements:

• Extensive experience in data analysis, data strategy, or data management within large, complex, and fast-paced enterprise environments.
• Proven track record operating as a senior individual contributor, driving outcomes, building credibility, and influencing senior stakeholders without direct reporting lines.
• Strong practical knowledge of semantic data modelling, metadata management, and data cataloguing principles essential for AI-ready data ecosystems.
• Proficiency in SQL and Python, alongside practical working familiarity with AWS cloud services (exposure to Java is an advantageous bonus).
• Demonstrated ability to translate ambiguous commercial strategy into concrete technical requirements, with an awareness of agentic AI tooling and modern workflows.

Benefits:

• Competitive pension and performance-based bonus schemes
• 25 days of annual leave, increasing with tenure, with the option to buy 5 additional days
• Premium care through private medical insurance
• Enhanced parental leave
• Access to up to £5,000 in funding for external qualifications