Associate Director of Analytics and Evaluation (32675)

San Francisco-Marin Food BankSan Francisco, CA
2d$130,000 - $145,000Hybrid

About The Position

Are you a skilled professional who believes in lending your skills to end hunger during these unprecedented times? If so, consider being the Associate Director of Analytics & Evaluation for the San Francisco-Marin Food Bank. Join our friendly, collaborative, and hardworking data & technology team, reporting to the Chief Data & Technology Officer . The Associate Director of Analytics and Evaluation provide strategic, technical, and operational leadership for the Food Bank’s analytics ecosystem. Reporting to the Chief Data & Technology Officer (CDTO), this role is accountable for the architecture, deployment, and governance of modern analytics solutions including our analytics stack, dashboard suite, and applied data science products. This role is both hands-on and managerial: a technical leader who guides the analytics team, reviews and elevates analytic and engineering work, and ensures the reliability and scalability of our enterprise data capabilities. Who We Are: The San Francisco-Marin Food Bank’s mission is to end hunger in San Francisco and Marin counties. We envision a community free of the root causes of hunger, where everyone has access to nutritious food of their choosing and is uplifted by a network of support. Together with more than 300 community partners, we work to address hunger head-on through a coordinated network of neighborhood food pantries, CalFresh enrollment, home-delivered groceries, and policy and advocacy efforts. We work with our community to provide food for people facing hunger today while working to end the hunger of tomorrow. This fiscal year, we are serving 36,000 households per week. Nearly 70% of what we distribute is fresh fruits and vegetables. Visit sfmfoodbank.org to learn more. Who You Are: To excel in this position, you will need to approach the work with the following habits and values: Strong systems thinker who connects analytics, insight, and organizational impact Deep experience leading technical teams deploying end-to-end analytics and data solutions (cloud warehouse, pipelines, CICD, BI) High bar for analytic rigor, documentation, and product quality Collaborative coach who provides constructive, actionable feedback to peers and team members Curious, innovative, and grounded in industry best practices for technical delivery and large-scale impact

Requirements

  • Bachelor’s degree in quantitative field (statistics, economics, computer science, data analytics, etc.) or equivalent experience
  • 5+ years of experience in technical product delivery, including 2+ years of technical leadership and people supervision
  • Demonstrated portfolio of products you’ve led the build and deployment of, including but not limited to dashboards, data engineering pipelines, digital products, or other technical products with ongoing user bases.
  • Advanced SQL and Python for analytics, modeling, and pipeline development
  • Strong proficiency building and deploying solutions in at least one cloud data platforms (e.g., Azure Synapse/Fabric, Snowflake, BigQuery, Redshift, Databricks, etc.)
  • Exposure to key data science concepts, including predictive modeling, inferential statistics, and study design
  • Intermediate BI tool expertise (Tableau, Power BI, or equivalent) and UX/UI best practices
  • Strong grounding in data visualization, information design, and accessibility
  • Understanding of core enterprise systems archetypes and uses, including ERPs and CRMs.
  • Strong skills in data validation, governance, and documentation
  • Ability to work closely with technical and nontechnical teams to solve core business problems and translate insights to actions
  • Proficiency with Git/GitHub or Azure DevOps, including branching strategies and code review workflows

Nice To Haves

  • Experience working in human services, healthcare, nonprofit, government, and/or roles that require strong measurement and insights in public impact
  • We value bringing into the fold those with lived experiences with food insecurity and economic insecurity.

Responsibilities

  • Drive analytics delivery quality, timeliness, and advancement of the analytics portfolio to support organizational decision-making
  • Establish and maintain standards of excellence for dashboards, reporting, metric definitions, documentation, and analytics quality across the team and organization
  • Build and maintain a robust analytics environment (cloud data warehouse, semantic layer, BI platform, CICD workflows) that enables scalable, reliable insights
  • Develop and elevate team capabilities in technical delivery, customer management, and product excellence through mentorship and structured guidance
  • Translate complex technical findings into clear, actionable insights for leadership and cross-functional partners; identify key organizational priorities and enterprise risks for CDTO action
  • Supervise and manage a team of three data analysts and two data engineers toward analytic and product excellence
  • Architect, maintain, and iteratively improve the Food Bank's data warehouse, semantic layer, BI platform, and CI/CD workflows
  • Lead quality assurance and provide structured technical review of dashboards, models, pipelines, and analytical code produced by the team
  • Coach, mentor, and develop analysts and engineers, focusing on elevating skills in delivery, customer management, and product excellence
  • Partner with Digital Platforms and IT to communicate infrastructure and platform changes needed to advance analytics capabilities
  • Identify and evaluate new tools, methods, and best practices to strengthen analytics capabilities and test emerging technologies for organizational impact

Benefits

  • All positions are offered generous holiday and sick time as well as retirement savings.
  • This position also qualifies for medical, dental, life, long-term disability, and vacation time.
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