Permanent Data Organization Jobs (NOW HIRING)

Job Summary:
First Stop Health is on a mission to deliver affordable, delightful healthcare for all, providing connected, whole-person virtual care through app, website, or phone. They are seeking a Director, Data Enablement to lead the operational backbone of their data organization, overseeing the full data product lifecycle and ensuring data quality and governance in a healthcare technology environment.
Responsibilities:
• Own the strategy, roadmap, and execution of our data platform — ensuring data is available, trusted, and AI-ready across all consuming teams (Product, Systems, Security, Client Operations, Analytics)
• Define and maintain data products across our Bronze/Silver/Gold architecture, with clear SLAs, ownership, and quality standards for each layer
• Manage the handoff protocol from Analytics — receiving graduated experiments and models and operationalizing them into production-grade, governed data products
• Partner with IT Systems and Security to ensure data infrastructure is compliant, resilient, and scalable
• Build and operationalize a data governance framework appropriate for a healthcare technology environment — including data lineage, cataloging, access controls, and quality monitoring
• Own data contracts between producing and consuming teams, establishing clear definitions, quality thresholds, and escalation paths
• Ensure compliance readiness across relevant regulatory frameworks (HIPAA and others applicable to the business)
• Champion a culture where "trusted data" is a non-negotiable standard, not an afterthought
• Oversee internal and customer-facing reporting — ensuring accuracy, timeliness, and diligence across all report outputs
• Partner with each functional area to understand reporting needs and build scalable, governed reporting infrastructure that can grow with the business
• Oversee the reporting products we provide to our customers, ensuring timeliness, accuracy and impact
• Establish review and QA processes that give stakeholders confidence in every number they see
• Architect and evolve the Gold layer as the primary consumption layer for AI, ML, and product use cases — ensuring data is structured, documented, and ready for model consumption
• Partner with the Analytics team on data requirements for new ML initiatives, building infrastructure ahead of need rather than in reaction to it
• Stay current on the evolving data + AI stack and make informed, pragmatic decisions about tooling and architecture
• Lead and develop an internal team plus flex contractor capacity (3–4 headcount) deployed across DE and reporting workstreams
• Build the project management and delivery discipline that the engineering team needs to embed effectively in the broader organization
• Create a team culture oriented around reliability, ownership, and continuous improvement
• Develop career paths and growth opportunities that retain strong technical talent
• Serve as the primary data infrastructure partner to IT, Product, Client Operations, and Security — proactively understanding their data needs and building ahead of demand
• Translate complex data platform concepts into clear business language for non-technical stakeholders
• Represent the data organization in cross-functional planning, ensuring data implications are considered in every major initiative
Qualifications:
Required:
• 8–12+ years of experience in data engineering, data platform, or analytics engineering roles, with at least 3–5 years in a people leadership capacity
• Demonstrated experience building or maturing a data governance framework in a production environment
• Track record of operationalizing data products from research or experimental outputs into reliable, governed, production systems
• Experience working with modern data stack tooling (e.g., dbt, Snowflake/Databricks/BigQuery, Airflow or equivalent, data catalog tools)
• Proven ability to embed within and earn trust from business stakeholders — not just manage up and down, but sideways across an organization
• Strong project & product management instincts — able to bring structure and delivery discipline to technically strong but execution-challenged teams
• Credible enough technically to earn respect from strong data engineers without needing to be the best engineer in the room
• Deep understanding of medallion architecture (Bronze/Silver/Gold) and how each layer serves different consumers
• Familiarity with AI/ML data requirements — feature stores, model monitoring, data versioning, and what 'AI-ready' data actually means in practice
• Treats data as a product — thinks about consumers, SLAs, reliability, and roadmaps, not just pipelines
• Governance-native — sees rigor as an enabler, not a tax
• Bias toward operationalization — energized by making things permanent, scalable, and trustworthy
• Collaborative by default — understands that the best data organizations win through partnerships, not silos
Company:
First Stop Health provides care that people love with 24/7 access to licensed doctors via app, web or phone. Founded in 2011, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.