Product Manager – Data

PurpleLab

Product Manager handling healthcare reference data portfolio for accurate datasets. Collaborating with various teams to ensure quality and understanding of data requirements.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $100,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Own the roadmap and backlog for our reference data portfolio — payer, SDOH, mortality, formulary, and other reference datasets: which fields we carry, how they’re defined, how they’re sourced, and how they’re maintained over time
Write clear PRDs, user stories, and data specs that translate customer needs into requirements engineering and data teams can build from
Partner with develop to curate reference data across payer, SDOH, mortality, and formulary domains
Monitor attribute quality — coverage, fill rates, mapping accuracy, drift over time — and prioritize fixes based on customer impact
Track market and data-source changes that affect our reference datasets: payer M&A, plan rebrands, Medicare Advantage contract changes, PBM shifts, formulary updates, new SDOH data sources, and mortality data refresh cycles — and translate them into backlog updates
Partner with commercial, customer success, and analytics teams to understand how customers actually use our reference datasets and where definitions need to sharpen
Write and maintain data dictionaries, attribute definitions, and release notes so internal teams and customers can confidently use what we ship

Requirements

What you’ll need

2–5 years of experience in a product, analyst, data, consulting, or operations role — including direct exposure to product management practices (PRDs, sprints, backlogs)
Working knowledge of healthcare data — medical claims, pharmacy claims, eligibility/enrollment files, or similar. You should be comfortable reading a data dictionary and talking about fields, values, and how they're used.
Detail-oriented and quality-obsessed; you notice when a value looks off, and you care about getting definitions precisely right
Strong analytical mindset; comfortable in spreadsheets, can profile a dataset to spot gaps or anomalies, and ideally have some SQL skills
Excellent written communication; you can write a clear attribute definition that removes ambiguity rather than adding it
Organized and proactive — you keep track of details, follow through on commitments, and don't need to be chased
Comfortable working with technical teams and translating between business and engineering; experience working with offshore teams is a plus
Curious about healthcare data broadly — how health plans are organized, how SDOH indices are constructed, how mortality data is sourced, how formularies are structured, and how all of this shows up in claims data
Nice to have: Direct experience working with healthcare reference data (payer attributes, SDOH indices, mortality files, formulary/NDC mappings, or plan and network hierarchies)
Familiarity with payer-side concepts: commercial vs. Medicare Advantage vs. Medicaid vs. Exchange, fully-insured vs. ASO, PBM carve-outs, risk adjustment, formulary management
Experience with HIPAA-compliant data environments
SQL proficiency; bonus for any exposure to Python, dbt, or BI tools (Looker, Tableau, Power BI)

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account PurpleLab Website LinkedIn All Job Openings 51 - 200 employees Founded 2015 🏥 Healthcare 💊 Pharmaceuticals ☁️ SaaS 💰 $12.7M Series A - Purple Labs on 2007-09 Healthcare
Pharmaceuticals
SaaS PurpleLab is a real-world data and analytics company that provides validated, standardized healthcare datasets and a multimodal analytics platform (HealthNexus®) to help life sciences, payers, providers, agencies/media, and financial clients turn real-world data into actionable insights. Their offering centers on large-scale claims, provider, eligibility, remittance, EHR, and mortality datasets (billed as 16B+ annual claims) and supports real‑world evidence, campaign measurement, network intelligence, and operational analytics. PurpleLab positions itself as a flexible partner offering data access, pre-built analytics, and full-service consulting to accelerate drug development, advertising measurement, payer/provider network optimization, and other healthcare analytics use cases. Product Manager – Data 🔥 2 minutes ago 🇺🇸 United States – Remote 💵 $100k - $120k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Own the roadmap and backlog for our reference data portfolio — payer, SDOH, mortality, formulary, and other reference datasets: which fields we carry, how they’re defined, how they’re sourced, and how they’re maintained over time
Write clear PRDs, user stories, and data specs that translate customer needs into requirements engineering and data teams can build from
Partner with develop to curate reference data across payer, SDOH, mortality, and formulary domains
Monitor attribute quality — coverage, fill rates, mapping accuracy, drift over time — and prioritize fixes based on customer impact
Track market and data-source changes that affect our reference datasets: payer M&A, plan rebrands, Medicare Advantage contract changes, PBM shifts, formulary updates, new SDOH data sources, and mortality data refresh cycles — and translate them into backlog updates
Partner with commercial, customer success, and analytics teams to understand how customers actually use our reference datasets and where definitions need to sharpen
Write and maintain data dictionaries, attribute definitions, and release notes so internal teams and customers can confidently use what we ship 🎯 Requirements
2–5 years of experience in a product, analyst, data, consulting, or operations role — including direct exposure to product management practices (PRDs, sprints, backlogs)
Working knowledge of healthcare data — medical claims, pharmacy claims, eligibility/enrollment files, or similar. You should be comfortable reading a data dictionary and talking about fields, values, and how they're used.
Detail-oriented and quality-obsessed; you notice when a value looks off, and you care about getting definitions precisely right
Strong analytical mindset; comfortable in spreadsheets, can profile a dataset to spot gaps or anomalies, and ideally have some SQL skills
Excellent written communication; you can write a clear attribute definition that removes ambiguity rather than adding it
Organized and proactive — you keep track of details, follow through on commitments, and don't need to be chased
Comfortable working with technical teams and translating between business and engineering; experience working with offshore teams is a plus
Curious about healthcare data broadly — how health plans are organized, how SDOH indices are constructed, how mortality data is sourced, how formularies are structured, and how all of this shows up in claims data
Nice to have: Direct experience working with healthcare reference data (payer attributes, SDOH indices, mortality files, formulary/NDC mappings, or plan and network hierarchies)
Familiarity with payer-side concepts: commercial vs. Medicare Advantage vs. Medicaid vs. Exchange, fully-insured vs. ASO, PBM carve-outs, risk adjustment, formulary management
Experience with HIPAA-compliant data environments
SQL proficiency; bonus for any exposure to Python, dbt, or BI tools (Looker, Tableau, Power BI) Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Applied Data Scientist, Health AI Evaluation, Datasets 🔥 4 minutes ago InnoData 2 - 10 🤝 B2B 💼 Consulting 🌍 Social Impact Website LinkedIn All Job Openings Applied Data Scientist at Innodata specializing in health AI evaluation and datasets. Collaborating with technical experts to ensure data quality and clinical validity in healthcare projects. 🇺🇸 United States – Remote 💵 $150k - $175k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Applied Data Scientist, Finance AI Evaluation, Datasets 🔥 4 minutes ago InnoData 2 - 10 🤝 B2B 💼 Consulting 🌍 Social Impact Website LinkedIn All Job Openings Applied Data Scientist at Innodata designing datasets for evaluating financial AI systems in high-stakes environments. Collaborating with cross-functional teams to ensure data quality and compliance. 🇺🇸 United States – Remote 💵 $150k - $175k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Product Manager/Product Owner, Data Science 🔥 1 hour ago E Source 201 - 500 ⚡ Energy 💼 Consulting 🤝 B2B Website LinkedIn All Job Openings Product Manager/Product Owner for Data Science Storm Insights at E Source. Leading strategy, roadmap, and delivery of critical analytics products for the Utility industry. 🇺🇸 United States – Remote 💵 $140k - $185k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Data Scientist 🔥 2 hours ago PLACE 201 - 500 💼 Consulting 🏥 Healthcare 🛡️ Insurance Website LinkedIn All Job Openings Data Scientist at PLACE, focusing on AI and machine learning solutions in a rapidly growing startup. Collaborating within a small team to enhance data science applications and production deployment. 🇺🇸 United States – Remote 💵 $135k - $170k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Data Scientist 🔥 2 hours ago Jerry 201 - 500 💼 Consulting 📦 Logistics 📣 Marketing Website LinkedIn All Job Openings Data Scientist on central Data Science & Analytics team at Jerry.ai, delivering insights across growth, product, AI, and automation. Collaborating with business areas to define metrics and drive outcomes. 🇺🇸 United States – Remote 💵 $130k - $150k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 📊 Data Scientist 🦅 H1B Visa Sponsor View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs