Life Sciences Data Product Owner — Strategy & Delivery

EPAM Systems; Denmark; Hybrid; DKK 900,000 - 1,300,000; Full time

Job summary

EPAM Systems in Copenhagen seeks a Product Owner Data Analytics for Life Sciences to shape data products that drive business decisions. In a hybrid setup, you’ll translate commercial priorities into a clear data product roadmap and collaborate with cross-functional Delivery Teams to deliver value for patients and teams.

You should bring proven PO or PM experience with data products, Life Science domain knowledge, and strong skills in gathering data requirements, STTM, backlog management, and

Qualifications

• Proven Product Owner or Product Management experience, ideally on data products.
• Life Science domain knowledge
• Experience with data requirements gathering and Source-to-Target Mapping (STTM)
• Strong backlog management and roadmap-building skills
• Comfortable working closely with cross-functional delivery teams in an Agile setting

Responsibilities

• Own and evolve the Data Products roadmap and overall data products strategy
• Gather, define and prioritize data requirements with business and commercial stakeholders
• Own Source-to-Target Mapping (STTM) definition and sign-off with the Delivery Team
• Translate business needs into a prioritized, well-groomed backlog
• Work in deep, daily connection with the Delivery Team to unblock and sequence delivery
• Bring Life Science domain context to shape product decisions
• Report on roadmap progress and data product value to stakeholders

Skills

Product ownership

Backlog management

Roadmapping

Agile methodologies

Data products

Stakeholder communication

Job description

EPAM Systems in Copenhagen seeks a Product Owner Data Analytics for Life Sciences to shape data products that drive business decisions. In a hybrid setup, you’ll translate commercial priorities into a clear data product roadmap and collaborate with cross-functional Delivery Teams to deliver value for patients and teams.

You should bring proven PO or PM experience with data products, Life Science domain knowledge, and strong skills in gathering data requirements, STTM, backlog management, and