Senior Manager, Data Products & Analytics
Atlanta Community Food Bank · Atlanta, GA · 2 days ago
On-siteAnalystFull-time
About the role
The Senior Manager, Data Products & Analytics will lead the strategy, development, and delivery of data products that help the Atlanta Community Food Bank make smarter decisions and increase its impact across Georgia.
Responsibilities
- Lead or co-lead workstreams in the development and maintenance of the Food Bank’s data systems, including a data lakehouse analytics environment.
- Ensure data is organized, accessible, and optimized for analysis and reporting in alignment with organizational goals.
- Design and manage semantic models that unify business definitions, enable consistent reporting, and support governed self-service analytics across the organization.
- Develop and optimize DAX calculations (measures, time intelligence, row-level security) to deliver accurate, performant insights for dashboards, scorecards, and ad-hoc analysis.
- Facilitate data governance initiatives by engaging stakeholders across domains to define metrics, maintain data quality, and align on standards and access controls.
- Partner with the Information Architect to advance the Food Bank’s enterprise data platform, including data architecture, integrations, governance, and semantic modeling capabilities.
- Collaborate with the Information Architect to ensure data products and analytics solutions align with enterprise architecture standards and long-term technology strategy.
- Lead the maturation of ACFB's data product operating model, establishing domain ownership, shared governance, and self-service analytics capabilities that align with data mesh principles.
- Oversee the development and lifecycle management of data products that support ACFB processes, decisions, and strategic priorities.
- Manage solutions built in Power BI, Azure, Power Platform, and Microsoft Fabric, ensuring clear documentation, stakeholder alignment, and actionable design.
- Oversee the administration and adoption of the PolicyMap environment, ensuring stakeholders have access to geographic, demographic, and community data that informs strategic decision-making and program effectiveness.
- Identify and implement automation opportunities using low-code tools, cloud services, and scripting to increase efficiency and reduce manual work.
- Perform and oversee analyses that explore data in business context, applying statistical techniques, performance metrics, and visualization to uncover insights.
- Lead performance management reporting and help stakeholders track key KPIs and operational benchmarks.
- Promote strong problem-solving frameworks, incorporating both exploratory analysis and structured diagnostic approaches.
- Communicate complex findings to diverse audiences through compelling storytelling, strong visualization, and consultative dialogue.
- Build trusted relationships across Food Bank departments, fostering a culture of curiosity, data fluency, and continuous improvement.
- Execute department strategy by translating goals and initiatives into actionable plans for the team.
- Lead, coach, and develop a high performing team of data analysts.
- Ensure team members are productive, engaged, and meet performance expectations.
- Provide hands-on support to team members, guiding them through challenges and offering real-time coaching and feedback.
- Monitor and evaluate team performance, implementing improvement plans and ensuring adherence to organizational standards.
- Facilitate communication between staff and upper management, ensuring clarity on expectations, priorities, and progress.
- Support hiring, onboarding, and training of new team members, ensuring they are equipped to perform their roles effectively.
- Foster a positive team environment, promoting collaboration, accountability, and strong morale within the department.
- Track and report team metrics to department leadership, identifying areas for improvement and success in meeting goals.
Qualifications
- Demonstrated experience in analytics, data strategy, computer science or business intelligence.
- Strong command of Microsoft Azure ecosystem (Data Factory, Integration Services, Synapse, Fabric).
- Familiarity with supply chain or distribution business environments.
- Proven experience developing Power BI reports, managing semantic models, and automating data workflows.
- Working knowledge of geospatial tools such as ArcGIS and their integration into business intelligence use cases.
- Proven ability to translate business needs into scalable data solutions and insights.
- Excellent communication, facilitation, and relationship-building skills.
- Possess good working knowledge with Python, SQL, and PowerApps.
- Team leadership or mentoring experience.