Senior Manager, Data & Analytics at Food For Education

Role Summary

F4E is hiring a Senior Manager of Data & Analytics to lead our data team and drive the adoption of data across the organization. This is fundamentally a leadership role, the right person is someone who knows how to increase the data trustworthiness in the organization, bring people along, build enthusiasm for data, and help business teams see their work differently through the lens of data.

What You Will Do

Lead the data team

• 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

Drive adoption across the business

• 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

Oversee data quality and governance

• 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

What We're Looking For

Experience

• 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

Leadership and people skills

• 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

Data knowledge

• 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