Director / Senior Director, Data & Analytics

NourishedRx•Stamford, CT

About The Position

NourishedRx is seeking a Director / Senior Director, Data & Analytics to lead its Data, Analytics & Insights function end-to-end. Reporting to the Chief Technology Officer, this leader will own the strategy and operating model for data ingestion, governance, modeling, analysis, exchange, and decision support across the company. The role spans data engineering, business intelligence, reporting, insights, client data exchange, and governance, delivering trusted data capabilities for members, healthcare partners, product development, and internal operations. This is a player-coach role. The leader will set direction, develop the team, and manage cross-functional priorities while remaining technically hands-on—writing and reviewing SQL and dbt models, troubleshooting pipelines and data-quality issues, prototyping solutions, and resolving high-leverage technical problems. In close partnership with Engineering leadership, the role will also advance AI-assisted and agentic engineering practices across Data and Software Engineering while maintaining strong testing, security, reliability, and governance.

Requirements

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 reviewing code, reasoning about data models and metrics, and diagnosing 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.
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.
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.
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 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.

Nice To Haves

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 needed for reliable SFTP, API, or batch-file workflows.
Experience operating in a HIPAA-regulated environment and familiarity with healthcare interoperability standards such as FHIR.
Advanced degree in a relevant discipline.
GCP experience; Omni Analytics experience is preferred, with Looker also relevant.

Responsibilities

Own the vision, strategy, roadmap, and operating model for Data, Analytics & Insights, aligned with 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.
Partner with Engineering leadership on data architecture, pipelines, modeling standards, testing, observability, platform reliability, and canonical data models.
Drive adoption of AI-assisted and agentic engineering practices across Data with Engineering leadership, establishing tools, patterns, guardrails, and quality expectations.
Own the modern data and BI ecosystem, including BigQuery, dbt, and Omni Analytics, and enable trusted self-service analytics through governed datasets, permissions, documentation, and training.
Define and govern metrics, KPIs, semantic models, dashboards, and analytical approaches for measuring 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 exchanges, 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 to ensure 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 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.