Note: The job is a remote job and is open to candidates in USA. NourishedRx is a digital health and nutrition company that partners with healthcare organizations to support vulnerable members, healthier lives, and health equity. The Director/Senior Director, Data & Analytics will lead the Data, Analytics & Insights function, overseeing data engineering, business intelligence, reporting, client data exchange, governance, and analytics strategy while remaining an active technical contributor.
Responsibilities
- Own the vision, strategy, roadmap, and operating model for Data, Analytics & Insights, aligned to company priorities, client commitments, and product strategy
- Lead, coach, and develop a team spanning data engineering and analytics/insights while remaining an active technical contributor who can step into the work when needed
- Partner with Engineering leadership on data architecture, pipelines, modeling standards, testing, observability, platform reliability, and the evolution of canonical data models
- Drive adoption of AI-assisted and agentic engineering practices across Data in partnership with Engineering leadership, establishing practical tools, patterns, guardrails, and quality expectations
- Own the modern data and BI ecosystem, including BigQuery, dbt, and Omni Analytics, and drive trusted self-service analytics through governed datasets, permissions, documentation, and training
- Define and govern metrics, KPIs, semantic models, dashboards, and analytical approaches used to measure member engagement, clinical outcomes, utilization, operational performance, and program value
- Lead and support client-facing analytics, including recurring reporting, Quarterly Business Reviews, outcomes narratives, and ROI/value discussions with healthcare partners
- Own recurring client and partner data exchange, including eligibility/member files, claims and utilization data, source-of-truth files, reporting specifications, SFTP/API feeds, and recurring reports
- Establish monitoring, reconciliation, exception management, lineage/provenance, data-quality controls, and clear ownership so data is accurate, timely, traceable, and trusted
- Serve as a Data Custodian and partner with Privacy, Security, Compliance, and Engineering to maintain appropriate governance and least-privilege access in a HIPAA-regulated environment
- Represent Data in cross-functional roadmap and prioritization processes, translating business needs into clear initiatives, dependencies, sequencing, and trade-offs
- Reduce manual reporting and operational work through automation, reusable data products, standardized processes, and self-service capabilities
- Communicate roadmap progress, risks, blockers, data-quality issues, and decisions required to senior management with clarity and appropriate business context
Skills
- 5+ years of progressive experience in data, analytics, business intelligence, data engineering, or related functions, including meaningful leadership experience managing data teams
- Experience leading a combined data engineering and analytics/insights function, or closely partnering across both disciplines in a high-growth environment
- Strong hands-on SQL fluency and comfort working directly with dbt models, including the ability to review code, reason about data models and metrics, and diagnose pipeline or data-quality issues
- Experience with modern cloud data platforms and BI/semantic-layer tools, with the technical depth to contribute directly when needed rather than managing solely through others
- Demonstrated experience using and promoting AI-assisted software or data engineering approaches, including coding assistants, agents, automated testing, code review, documentation, or workflow automation
- Strong understanding of data architecture, pipeline design, data modeling, governance, observability, access controls, and data-quality practices
- Proven ability to communicate data strategy, trade-offs, and analytical findings to executives, clients, and non-technical stakeholders
- Bachelor's degree in Analytics, Data Science, Computer Science, Engineering, Healthcare, Business, or a related discipline, or equivalent practical experience
- Advanced SQL proficiency and hands-on experience with dbt or a comparable analytics engineering framework
- Experience with BigQuery or another modern cloud data warehouse; GCP experience is preferred
- Experience with modern BI and semantic-layer tools; Omni Analytics experience is preferred, with Looker also relevant
- Working proficiency with Python or another scripting language for data analysis, automation, and troubleshooting
- Familiarity with Git-based software/data engineering practices, automated testing, code review, observability, and CI/CD concepts
- Practical experience with AI coding assistants, agents, or other AI-native engineering workflows and an ability to establish responsible team-wide practices for their use
- Experience with API- and file-based data exchange patterns, including SFTP, schemas/specifications, recurring batch feeds, reconciliation, and exception handling
- Healthcare experience, particularly with health plans, managed care, pharmacy benefits, digital health, population health, or value-based care
- Working knowledge of healthcare datasets and reporting patterns such as eligibility, claims, utilization, care management, clinical outcomes, and population-level analytics
- Experience owning recurring external data exchanges and the operational controls required to keep SFTP, API, or batch-file workflows reliable
- Experience operating in a HIPAA-regulated environment and familiarity with healthcare interoperability standards such as FHIR
- Advanced degree in a relevant discipline
Benefits
- Medical, dental and vision coverage
- Opportunity to work on a mission-driven team, making a real difference in the lives of people around the world
- Chance to learn, grow, and contribute to the success of a dynamic and innovative company
Company Overview
Company H1B Sponsorship