Senior Manager, Data & Analytics Job F4E
- Kenya
- Permanent
- Full-time
- 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
- Demonstrated experience helping an organization move from low or ad-hoc data maturity to a more governed, self-service and strategic use of data
- Proven ability to deploy data governance concepts: definitions, ownership, quality, and access
Corporate Staffing