Manager, Health Data Systems and Analytics

Project Open Hand•San Francisco, CA

1d•Onsite

About The Position

The Manager, Health Data Systems & Analytics reports to the Director, Program Strategy and Design and oversees Project Open Hand’s client management database supporting Food Is Medicine services, and ensures that data are accurate, secure, actionable, and increasingly interoperable with healthcare partners. This role sits at the intersection of operations, client/nutrition services, evaluation, and external reporting, and plays a key role in advancing system integration, data governance, and continuous quality improvement. The Manager is responsible for system administration, data quality, dashboards and reporting, evaluation support, and participation in regional and statewide health data exchange efforts, including the California Data Exchange Framework (CA DxF).

Requirements

Bachelor’s degree in health informatics, public health, information systems, data science, or related field (or equivalent experience).
3–5 years of experience managing databases or information systems in healthcare, social services, or nonprofit settings.
Experience administering a client management system, EHR, or similar platform.
Strong understanding of data quality, reporting, and analytics.
Ability to translate technical concepts for non-technical staff.

Nice To Haves

Experience working with healthcare data, Medicaid, or managed care partners.
Familiarity with interoperability concepts (e.g., APIs, HL7/FHIR—conceptual understanding sufficient).
Experience supporting dashboards (e.g., Power BI or similar).
Exposure to data governance, privacy, or compliance frameworks.
Experience working in Food Is Medicine, nutrition, or community-based health services

Responsibilities

Serve as primary administrator for the client management database, including user access, permissions, workflows, and configuration.
Maintain data integrity, accuracy, and completeness across client records, referrals, assessments, and services.
Partner with program and nutrition staff to optimize workflows that support care delivery while minimizing documentation burden.
Manage system upgrades, enhancements, and vendor relationships as applicable.
Develop and maintain system documentation, data dictionaries, and standard operating procedures.
Support current and future system integrations with healthcare partners (e.g., health plans, providers, referral platforms).
Participate in POH readiness and compliance activities related to the California Data Exchange Framework (CA DxF).
Coordinate all activities related to the California Food Is Medicine Coalition (CaFIMC) minimum data set and data sharing.
Collaborate with IT, legal, and program leadership on data-sharing agreements, consent workflows, and minimum necessary use.
Translate healthcare data standards and requirements into practical nonprofit workflows.
Monitor evolving interoperability requirements and recommend phased implementation strategies.
Co-design and maintain dashboards to support: Care quality and service delivery, Client experience, Equity and access, Operational performance and capacity.
Ensure reporting is timely, accurate, and aligned with internal decision-making and external funder or payer requirements.
Support ad hoc analyses for quality improvement and strategic planning.
Support program evaluation efforts by: Preparing datasets, Ensuring data quality and consistency, Documenting methodologies and assumptions.
Collaborate with internal staff and external evaluators or researchers.
Support pre–post- analyses, cohort tracking, and narratives for evaluation and research dissemination.
Ensure evaluation data aligns with client consent, privacy, and governance standards.
Serve as a key participant in POH’s data governance practice.
Help define and enforce, including through regular auditing: Data standards, Data access policies, Data retention and privacy practices.
Support staff training on appropriate data use and documentation standards.
Contribute to decision-making about ethical data use, equity, and client-centered data practices.