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