Product Owner

Job Title / Role: Product Owner Key Skills: Healthcare & Life Sciences, Data Products, Databricks, Microsoft Azure, AWS, or Google Cloud. Experience: 12+ Location: Boston MA Shift: General Mode: Full-time We at Coforge are seeking “Product Owner” with the following skill set: Position Summary We are seeking a Product Owner with experience in Healthcare and Life Sciences and a strong background in data and analytics.

This individual will translate business needs into actionable product priorities, guiding the delivery of data products that improve decision-making, operational efficiency, and business outcomes. The Product Owner will partner with business stakeholders, data engineers, analytics teams, and technology leaders to define product goals, prioritize the backlog, and deliver trusted, usable data solutions.

The ideal candidate combines domain knowledge, analytical thinking, and hands-on product ownership with the ability to connect technical delivery to measurable business value.

Key Responsibilities

Define product direction and value: Partner with stakeholders to establish product goals, success measures, and roadmaps aligned with business priorities.

Understand business needs

Lead discovery sessions to clarify user needs, workflows, pain points, and opportunities across healthcare or life sciences functions.

Own and prioritize the backlog

Create and maintain a prioritized backlog of features, user stories, and acceptance criteria, balancing business value, risk, dependencies, and delivery capacity.

Translate data requirements

Define requirements for data sources, business rules, metrics, data quality, reporting, and analytical capabilities in partnership with technical teams.

Guide delivery

Collaborate with data engineers, analysts, architects, and quality assurance teams to refine requirements, resolve questions, and deliver incremental value.

Support trusted data

Partner with data governance, security, privacy, and compliance teams to incorporate appropriate access controls, ownership, traceability, and data quality expectations.

Validate outcomes

Coordinate user acceptance testing and assess completed work against acceptance criteria and business needs.

Drive adoption and improvement

Gather user feedback, support release readiness and enablement, and monitor adoption and outcomes to inform future priorities.

Manage stakeholder alignment

Communicate priorities, progress, dependencies, and tradeoffs clearly across business and technology teams.

Required Qualifications

• 5+ years of experience in product ownership, business analysis, or data and analytics delivery, including 3+ years owning or managing a product backlog.
• Experience supporting Healthcare and Life Sciences organizations, with depth in one or more areas such as provider operations, payer services, pharmaceutical commercial operations, clinical research, or medical devices.
• Demonstrated experience delivering data products, analytics platforms, dashboards, reporting solutions, or data integration capabilities.
• Working knowledge of data pipelines, data models, warehouses, data quality, and governance concepts.
• Ability to translate complex business needs into clear user stories, business rules, and testable acceptance criteria.
• Experience defining KPIs and aligning stakeholders on consistent business definitions and measures of success.
• Experience working with cross-functional teams using Agile delivery methods, including Scrum or Kanban.
• Strong communication, facilitation, prioritization, and stakeholder management skills.
• Bachelor’s degree in a relevant discipline or equivalent practical experience.

Preferred Qualifications

• Familiarity with relevant data domains, such as claims, electronic health records, patient services, clinical trials, or pharmaceutical sales and marketing.
• Working knowledge of SQL and experience with analytics tools such as Power BI or Tableau.
• Exposure to cloud data platforms such as Snowflake, Databricks, Microsoft Azure, AWS, or Google Cloud.
• Experience collaborating on privacy, security, and compliance requirements involving sensitive healthcare or life sciences data.
• Familiarity with master data management, metadata, data lineage, and interoperability concepts.
• Experience supporting AI or advanced analytics use cases, including defining business requirements and evaluating results.
• Product Owner or Product Management certification.
• Experience in a consulting or client-facing delivery environment.
• What Success Looks Like A clear product direction and prioritized backlog tied to business outcomes.
• Trusted data products that users adopt and incorporate into their decisions and workflows.
• Measurable improvements in data quality, access to insights, operational efficiency, or decision-making.
• Strong alignment between business stakeholders and delivery teams, with timely decisions and transparent tradeoffs.