Senior Product Manager, Data Profiles

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the vision, strategy, and roadmap for Data Profiles encompassing production data access, personalization signals, and external data integration.

• Collaborate with software engineers to establish and implement a unified API layer for dependable production member-data access, promoting adoption throughout Spring Health.

• Work alongside data scientists to pinpoint, test, and operationalize personalization signals derived from warehouse and production-system data.

• Define hypotheses, success metrics, and quality benchmarks for personalization signals.

• Create and implement a strategy for assessing, selecting, and integrating external data sources.

• Engage in ongoing discovery with product, engineering, clinical, and data science teams, translating needs into a prioritized roadmap.

• Communicate trade-offs and progress updates to stakeholders at all levels.

• Establish standards for profile-data regarding definitions, freshness, accuracy, and governance in collaboration with clinical, legal, privacy, and security partners.

• Measure and report the platform’s impact on downstream teams and member outcomes.

• Utilize performance data to inform future investment priorities.

• Employ AI tools daily for discovery, synthesis, specification writing, and analysis.

• Leverage AI to test hypotheses prior to engaging data science or engineering resources.

• Report directly to the Group Product Manager, Care Orchestration.

• Collaborate with data scientists, software engineers, and both clinical and business stakeholders.

⛳️ Requirements

• Minimum of 4 years of product management experience.

• At least 2 years of experience working on data, platform, or API products utilized by internal or external developers.

• Proven track record of delivering data products to production, such as data pipelines, feature or profile stores, customer data platforms, or personalization systems.

• Strong understanding of data and machine learning, including feature engineering, signal quality, model evaluation, and experimental design.

• Technical expertise in API design, data models, latency, scalability, and system trade-offs.

• Proficiency in working directly with data using SQL or comparable tools.

• Experience in evaluating or integrating third-party data sources.

• Track record of assessing vendors and making decisions between building or buying solutions.

• Ability to reconcile competing priorities among technical, clinical, and business stakeholders.

• Strong judgment regarding privacy, consent, and responsible data usage.

🏝️ Benefits

• Health, dental, and vision benefits commencing on the first day.

• One Medical accounts available for employees and their dependents.

• HSA and FSA plans, with Spring contributing up to $1,000 to HSAs based on plan type.

• Employer-sponsored 401(k) match of up to 2%.

• Annual allotment of no-cost visits to Spring Health therapists, coaches, and medication management providers for employees and their dependents.

• Paid time off that includes vacation, sick leave, and company holidays.

• Parental leave after 6 months: 18 weeks for birthing parents and 16 weeks for non-birthing parents.

• Access to the Noom weight management program.

• Fertility care support through Carrot.

• Up to $4,000 reimbursement for related fertility expenses.

• Access to Wellhub for fitness, mindfulness, nutrition, and sleep options.

• Access to BrightHorizons sponsored child care, backup care, and elder care.

• Up to $1,000 yearly reimbursement for professional development.

• $200 annually for donation matching.

• Fully remote work options available.