Product Data Manager

Antidote Health is a tech-driven health insurance company on a mission to make healthcare easy, accessible, and more affordable. We’re rethinking how healthcare works—using technology to remove the friction, complexity, and delays that define the traditional system. Instead of navigating paperwork, long waits, and disconnected experiences, we’re building a simpler, more connected way for people to get care.

Our platform combines health coverage, virtual care, and a modern member experience into one seamless system designed to help people actually use their benefits.

We offer Affordable Care Act (ACA) health plans in Arizona and Ohio, and we’re growing quickly. We’re building a company focused on solving real problems—with real impact on people’s lives.

Position Overview

We’re looking for a Senior Data Product Manager to build and lead our data product function. This role owns the strategy for how data is structured, governed, and delivered across the company — powering clinical operations, product features and business intelligence Reporting to the CPO, you’ll partner with Data Engineering, Analytics, and stakeholders across the US and Israel to transform raw data into reliable, scalable data assets and clear, consistent metrics.

Key Responsibilities

• Define and maintain the product roadmap for company wide data needs including, but not limited to: member/provider analytics, engagement tracking, clinical quality metrics and claims processing.

• Collaborate closely with business teams, engineering and product to translate business needs into clear data use cases/ requirements API contracts and KPIs

• Establish data SLAs, quality rules, and validation frameworks

• Lead agile planning and execution with Data Engineering & Analytics, including validation and data QA.

• Prioritize competing data needs across clinical, operational, and product initiatives.

• Enable data product adoption through regular training and clear documentation.

Qualifications

Required:

• 5+ years in Data Product Management with a background in data science or analytics

• Hands on experience with SQL and modern data warehouses (ex. BigQuery ) and BI tools (ex. Looker)

• Experience building or scaling data platforms.

• Experience with data quality and governance, version control, and change management practices.

• Proven ability to define and maintain KPIs, SLAs, data quality rules, and documentation.

• Demonstrated ability to drive agile execution with Data Engineering & Analytics.

• Excellent written communication — able to translate complex data concepts into clear requirements.

Preferred:

• Deep experience with healthcare data, including claims, risk adjustment, quality measures, utilization of analytics, provider networks, and member-journey analytics.

• Experience with privacy, compliance, or PHI-heavy data environments.

• Experience building data products that support ML or LLM-based features in production.

• Familiarity with clinical data structures (EMR/HER, FHIR, HL7).

Competencies

• Comfortable working across distributed teams and time zones.