Senior Manager, Data & Analytics at Food For Education

• Manage and develop the data team (Data Engineering, Analytics Engineering, Data Analysis (BI), Data Science), setting clear priorities, ways of working, and a culture of quality and impact
• Assess the current Data environment and then define F4E's data vision and translate it into a roadmap the team can deliver against
• Represent data at the leadership level and advocate for investment in data capabilities

• Data as a product - Help deliver data solutions to business teams
• Build strong relationships with business unit leaders and help them develop curiosity about their data
• Help teams understand what data they have, what it means, and how to use it in everyday decisions
• Make data accessible — simplify the experience of finding, trusting, and using data for non-technical colleagues
• Run workshops, demos, and conversations that build data literacy and enthusiasm across the organization
• Identify data collection gaps by our internal and external systems in business processes

• Ensure the organization's core data assets are accurate, well-defined, and trusted
• Champion good data practices — ownership, definitions, documentation. Partner with the technical team to understand what's being built and make sure it serves real business needs

• 8–12 years in data, analytics, or a related field
• Proven experience managing a team and influencing at a senior level
• A track record of helping organizations or business units actually use data — not just have it
• Experience working cross-functionally and building relationships with non-technical stakeholders

• A natural communicator who can make data feel relevant and exciting to people who don't think of themselves as data people
• Strong facilitation skills — comfortable leading workshops, presenting to leadership, and driving alignment across teams
• Able to manage upward and sideways, not just downward

• A solid conceptual understanding of how modern data infrastructure works — pipelines, warehouses, dashboards, data models — without needing to build it hands-on
• Comfortable enough with the technical side to have credible conversations with engineers and analysts, ask the right questions, and make informed decisions
• Proven ability to deploy data governance concepts: definitions, ownership, quality, and access
• Demonstrated experience helping an organization move from low or ad-hoc data maturity to a more governed, self-service and strategic use of data

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