Vice President of Data Platform

Join Strive, a mission-driven health-tech company, as the Vice President of Data Platform. In this role, you will lead the design, management, and evolution of Strive's enterprise data platform, ensuring high-quality, well-governed data is available to various teams. You will oversee data ingestion from multiple sources, establish data governance initiatives, and partner with various teams to support reliable data consumption. This is a key leadership position that requires strong judgment, an entrepreneurial spirit, and a passion for building a trusted data capability in a complex environment.

• Assurer la conception, la gestion, la fiabilité et l'évolution de l'entrepôt de données de Strive, en garantissant la disponibilité de données de haute qualité.
• Superviser l'ingestion et l'hydratation de l'entrepôt à partir d'une large gamme de flux de données entrants, y compris les données cliniques et opérationnelles.
• Établir et diriger un processus durable de gouvernance des données et de gestion de la qualité, y compris la propriété, la stewardship, la documentation et la gestion des problèmes.

• 5+ years of experience owning production operations for data pipelines and warehouse workloads, including monitoring, observability, alert triage, escalation, recovery, reprocessing, incident response, and preventive remediation
• 5+ years of experience partnering with Digital Product, Software Engineering, Data Science, Analytics, Finance, Actuarial, Medical Economics, Clinical, or Operations teams to deliver trusted data products, reporting, measures, or model inputs
• 10+ years of professional experience in data engineering, data architecture, analytics engineering, or a related discipline, including experience building and operating enterprise-scale data platforms
• Internet Connectivity - Min Speeds: 3.8Mbps/3.0Mbps (up/down): Latency <60 ms
• 7+ years of experience designing and evolving a data warehouse, lakehouse, or comparable enterprise data platform serving multiple technical, analytical, and business stakeholders
• 3+ years of experience establishing or operating data governance and data-quality practices, including ownership, stewardship, lineage, documentation, data definitions, access controls, and issue management
• 5+ years of experience integrating complex and heterogeneous data sources, including structured, semi-structured, transactional, clinical, claims, or partner data
• Ability to travel and be on-site to meet business needs
• 8+ years of experience leading technical data teams, including responsibility for hiring, developing, managing, and aligning data engineers, architects, analytics engineers, or related technical professionals
• 5+ years of experience building governed data models, datasets, marts, semantic layers, or other reusable data products for downstream technical and business consumers
• You are committed to building a data culture that is rigorous, service-oriented, transparent, and focused on making high-quality data easier to use responsibly
• You bring high integrity, dependability, sound judgment, and a strong sense of urgency, accountability, and results orientation
• You are able to travel and work onsite as needed to meet business requirements and connect with stakeholders, serve patients, and attend Strive-sponsored team events
• You meet Strive’s internet connectivity requirement: minimum speeds of 3.8 Mbps download and 3.0 Mbps upload, with latency below 60 milliseconds
• You communicate clearly and credibly with technical, clinical, operational, and executive audiences, especially when explaining data risk, tradeoffs, incidents, and decisions
• You are action-oriented and pragmatic, with the ability to translate broad data strategy into achievable steps, operating mechanisms, and measurable improvements while maintaining appropriate review discipline
• Experience in healthcare, healthtech, health plans, provider organizations, value-based care, or another regulated environment where data quality, privacy, and auditability materially affect business and clinical outcomes
• Experience with healthcare data and interoperability standards, including medical and pharmacy claims, clinical records, lab and ADT data, FHIR,HL7), eligibility, utilization, quality, or risk-adjustment data
• Experience improving data freshness through selective use of near-real-time or streaming architectures where the business value justifies the added complexity and cost
• Experience working with modern cloud data platforms, relational and distributed data stores, ELT/ETL) frameworks, orchestration tools, APIs, event streams, and change-data-capture patterns
• Experience supporting actuarial, medical economics, risk adjustment, quality, financial, or population-health models and reporting
• Experience supporting machine-learning or AI systems through reliable feature pipelines, training datasets, inference inputs, monitoring, and data lineage
• Experience leading data-platform modernization, technical-debt reduction, source-system consolidation, or migration from fragmented legacy data environments