About Food for Education

Hungry kids can’t learn or grow.

Food4Education is an award-winning, locally rooted, and African-led solution to end classroom hunger. Building on more than a decade of learning by doing, we’re powering a new school feeding industry and sharing our blueprint to scale sustainable, nutritious, and affordable school feeding programs across Africa.

Today, we serve 600,000 kids DAILY in Kenya. But every day, we deliver more than a meal – improving nutrition and education outcomes for children while also creating jobs and opportunities for whole communities.

We are an experienced and trusted non-profit partner that operates with the excellence of a global business, reinvesting the value we create into local economies.

To learn more, please visit www.food4education.org

Our Values

At Food for Education, our values are guiding principles that provide us with purpose and direction and set the tone for our interactions with all stakeholders:

• Build with excellence and curiosity - We’re not afraid to try new things and iterate as much as we can to find the best and most efficient way to get results;
• Be the change you seek - We acknowledge that continuous improvement is a shared responsibility;
• We do what we say; and say what we do - We embrace an ownership mentality;
• Ask why; and commit - Share openly and question respectfully and commit fully. When we understand the why, we are able to work with a purpose.

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

What Success Looks Like

Within the first year, business teams across F4E are regularly bringing data into their conversations and decisions. Leaders are asking better questions, the data team has a clear sense of direction, and there is growing confidence in the quality and relevance of the data we produce.

We are an equal opportunity employer

All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Career Growth and Development

We have a strong culture of constant learning and we invest in developing our people. You will have weekly check-ins with your manager, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You will have the opportunity to shape a growing organisation and build a rewarding, long-term career.

We aim to contact all our applicants, but due to the high volume of applications only shortlisted candidates are contacted. If you do not hear from us within two weeks your application might not be successful on this occasion. This does not mean you will not be considered for future roles so please keep an eye on our job board and apply for positions that match your skills and experience.

• 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

• Data governance
• Data quality
• Data analysis
• Data science
• Data engineering
• Analytics engineering
• Leadership
• Communication
• Facilitation
• Stakeholder management
• Data literacy building

• 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
• Experience working cross-functionally and building relationships with non-technical stakeholders
• A natural communicator who can make data feel relevant and exciting
• Strong facilitation skills
• Able to manage upward and sideways
• Solid conceptual understanding of modern data infrastructure
• Comfortable enough with the technical side to have credible conversations with engineers and analysts
• Proven ability to deploy data governance concepts
• Demonstrated experience helping an organization move from low or ad‑hoc data maturity to a more governed, self‑service and strategic use of data