Technology Product Owner - Healthcare Data & Analytics, Contract to Hire role

NO 3rd PARTY CANDIDATES WILL BE CONSIDERED

This is a 3-6 month contract to hire role with our fortune 100 Life science client. We require someone on-site 3 days/week in the Northshore of MA. We have been working them for over 20 years and you will be joining our team of 50+ professionals.

Technical Product Owner (TPO) – Data & Analytics

Job Summary

The Technical Product Owner (TPO) – Data & Analytics is accountable for the
end‑to‑end ownership
of data products across data engineering, analytics, and visualization.

This role drives the translation of business and patient priorities into executable product backlogs, leads delivery through agile squads, and ensures measurable business outcomes.

The TPO owns the full lifecycle. Discovery. Prioritization. Delivery. Adoption. Value realization.

Key Responsibilities

Product Leadership & Vision

• Owns product vision and roadmap across data platform, analytics, and visualization.
• Translates enterprise and IT Tactical Plan priorities into product goals, epics, and success metrics.
• Makes explicit trade‑offs across scope, speed, quality, and capacity.

End‑to‑End Product Ownership

• Owns data and analytics products from discovery through delivery, adoption, and outcome measurement.
• Accountable for measurable business and patient impact, with traceability from strategy to squad execution.

Engineering, Analytics & Visualization Delivery

• Leads cross‑functional squads across data engineering, analytics, and data visualization.
• Owns backlog prioritization, sprint goals, and acceptance criteria end‑to‑end.

Data Platform & Technical Expertise

• Applies strong working knowledge of data platforms, analytics tooling, and visualization layers.
• Partners with Data Architecture and Data Platform Engineering on scalable, compliant solutions.

Outcomes & Measurement

• Defines outcome metrics and success criteria for all products.
• Tracks adoption and impact post‑delivery and drives corrective action where outcomes fall short.

Business & Domain Understanding

• Understands commercial operations, field workflows, and the patient case lifecycle.
• Translates domain needs into actionable data and analytics requirements without over‑engineering.

Stakeholder Management & Influence

• Aligns IT, Data, Analytics, and Business stakeholders around shared priorities.
• Communicates decisions, risks, and trade‑offs clearly and early.

Agile & Product Operating Model

• Operates effectively in an Agile, product‑centric delivery model.
• Uses delivery and flow metrics to improve predictability and throughput.