Senior Product Manager, Data Profiles @Spring Health
Product Management
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted YDay

[Hiring] Senior Product Manager, Data Profiles @Spring Health

YDay - Spring Health is hiring a remote Senior Product Manager, Data Profiles. 💸 Salary: unspecified 📍Location: USA

Role Description

The Senior Product Manager, Data Profiles will lead strategy and roadmap for the Data Profiles team in Spring Health’s R&D organization. The team is building the data foundation for personalized care. It has three jobs:

  • Give other teams one common way to access member data in production.
  • Turn raw data into useful personalization signals.
  • Decide how external data sources should feed into that picture.

This is a full-time role reporting to the Group Product Manager, Care Orchestration that is fully remote. You’ll work closely with data scientists, software engineers, and clinical and business stakeholders.

What you’ll do:

  • Own the vision, strategy and roadmap for Data Profiles across its three areas: production data access, personalization signals, and external data integration.
  • Partner with software engineers to define and ship a common API layer that lets product teams reliably access member data in production to personalize experiences, and drive its adoption across Spring.
  • Partner with data scientists to find, test and put into production the personalization signals that come from data across our warehouse and production systems. Set clear hypotheses, success metrics and quality bars for each one.
  • Develop and run a strategy for evaluating, choosing and integrating external data sources.
  • Run continuous discovery with internal teams that use Data Profiles (product, engineering, clinical, data science) and turn their needs into one prioritized roadmap. Communicate tradeoffs and progress clearly to stakeholders at every level.
  • Set standards for profile data (definitions, freshness, accuracy, governance) together with clinical, legal, privacy and security partners, so member data is trustworthy, reusable and used responsibly.
  • Measure and report how the platform affects downstream teams and member outcomes, and use that data to decide where to invest next.

What success looks like:

  • Product teams increasingly use Data Profiles as their standard way to access member data for personalization, and it takes less time and effort to launch personalized experiences.
  • New personalization signals move from exploration to production on a regular schedule and measurably improve member engagement, care matching or outcomes.
  • The platform meets agreed targets for reliability, response time and data freshness.

How you’ll use AI in this role:

  • Use AI tools every day to speed up discovery, synthesis, writing specs and analysis.
  • Use AI to test hypotheses quickly before bringing in data science or engineering resources.

Qualifications

  • 4+ years of product management experience, including 2+ years on data, platform or API products used by internal or external developers.
  • Experience shipping data products into production: data pipelines, feature or profile stores, customer data platforms (CDPs) or personalization systems.
  • Strong data and ML fluency: you can work with data scientists on feature engineering, signal quality, model evaluation and experiment design.
  • The technical depth to engage with engineers on API design, data models, latency, scalability and system tradeoffs.
  • Comfort working directly with data, through SQL or similar, to answer your own questions.
  • Experience evaluating or integrating third-party data sources, including weighing vendors and making build-vs-buy decisions.
  • Strong skills in aligning technical, clinical and business stakeholders with competing priorities.
  • Sound judgment about privacy, consent and responsible data use.

Nice to have:

  • Prior experience as a data scientist or machine learning engineer.
  • Experience in healthcare, mental health or benefits, including working with protected health information (PHI) under HIPAA.
  • Familiarity with modern data stack tools (e.g., Snowflake/Databricks, dbt, streaming systems, feature stores).

Benefits

  • Health, Dental, Vision benefits start on your first day at Spring.
  • Access to One Medical accounts.
  • HSA and FSA plans available, with Spring contributing up to $1K for HSAs, depending on your plan type.
  • Employer sponsored 401(k) match of up to 2% for retirement planning.
  • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
  • Competitive paid time off policies including vacation, sick leave and company holidays.
  • At 6 months tenure with Spring, parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
  • Access to Noom, a weight management program tailored to your unique needs and goals.
  • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
  • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription.
  • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care.
  • Up to $1,000 Professional Development Reimbursement a year.
  • $200 per year donation matching to support your favorite causes.
Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Product Manager, Data Profiles @Spring Health
Product Management
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted YDay
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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