Location
London (Hybrid Working)

Hours
Full Time

Salary
Negotiable

About the Role
We are Ocado Group, pioneering world-class automation in online grocery through our Ocado Smart Platform (OSP), which integrates robotics, AI, and IoT within advanced Customer Fulfilment Centres. As the Analytics Manager for Central Data Products, you will set the strategic direction for business intelligence and agentic analytics across the group. You will lead a dedicated team to bridge commercial needs with technical execution, establishing unified platform standards and driving the transition from traditional BI to AI-assisted data access. This role holds end-to-end ownership of internal reporting tools and partner-facing data products, including OSP Insights. You will establish robust evaluation frameworks and align semantic architecture with business outcomes to ensure maximum value for global partners and internal stakeholders from certified operational data.

Key Responsibilities
- Define and execute group-wide BI strategy, managing platform consolidation, seat rationalisation, and total cost of ownership.
- Lead the Looker and Celonis Centres of Excellence under a unified, high-standard operating model.
- Direct rollout of agentic analytics using Claude and Model Context Protocol (MCP) to enable self-serve access to certified data.
- Collaborate with Analytics Engineering to shape the unified semantic layer migration onto dbt MetricFlow.
- Establish evaluation frameworks, telemetry, and logging to rigorously assess AI accuracy, system performance, and metric trust.
- Own the product vision, roadmap, and delivery for the partner-facing OSP Insights platform.
- Define and communicate the commercial and operational value of data products to non-technical stakeholders.
- Maintain a controlled, outcome-driven roadmap with clear prioritisation standards for request deferral.
- Partner with Partner Success to streamline partner onboarding, training, and operational support workflows.
- Build, mentor, and lead a high-performing team, fostering strong AI literacy and capability delegation.

Experience
- Proven track record setting organisational BI strategy, evaluating platforms, and managing consolidation.
- Strong end-to-end product management experience, preferably with partner- or customer-facing data products.
- Practical understanding of agentic data access concepts including plugins, skills, and MCP architectures.
- Solid technical foundation in SQL, modern data warehousing (BigQuery, dbt), and semantic layer BI tools such as Looker.
- Demonstrated ability to translate analytics deliverables into commercial value stories for leadership.
- An evaluation-first mindset focused on production telemetry, error monitoring, and data governance.
- Experience managing team members, driving professional development, and delegating capability ownership.

About you
- Strategic thinker with strong leadership and communication skills.
- Comfortable working at the intersection of business and technology.
- Passionate about innovation in analytics and AI.
- Collaborative and able to build strong partnerships internally and externally.

Qualifications
Not explicitly stated, but a strong technical and managerial background in analytics, BI, or related fields is implied.

Nice to Haves
- Domain expertise in grocery, retail, or e-commerce.
- Direct commercial management experience including vendor negotiations and licence budget administration.
- Experience scaling internal analytics platforms into external, customer-facing SaaS products.
- Familiarity with process mining tools or knowledge architectures such as knowledge graphs or vectorised datasets.