Principal Product Owner Research Experimental Data Workflow

1925 GlaxoSmithKline LLC; Stevenage; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global healthcare company is seeking a Principal Product Owner for Research Experimental Data Workflow to innovate the laboratory scientist experience. In this role, you will manage the product vision, collaborate with cross-functional teams, and ensure high-quality data solutions for R&D. Candidates should possess strong leadership and domain expertise along with a scientific background. This position allows for flexible working within the UK or US.

Benefits

Flexible work options

Collaborative team environment

Opportunity for innovation in healthcare

Qualifications

• Proven experience in a product owner role.
• Ability to engage with R&D scientists and stakeholders.
• Understanding of data governance principles.

Responsibilities

• Serve as trusted advisor with strong domain expertise.
• Own product vision and roadmap for applications.
• Collaborate with scientists to translate needs into solutions.
• Manage product backlog and drive delivery with agile teams.
• Champion data integrity and interoperability requirements.

Skills

Strong domain expertise in business processes

Knowledge of industry trends

Agile delivery experience

Leadership skills

Data integrity management

Education

Scientific degree or equivalent experience

Job description

Principal Product Owner – Research Experimental Data Workflow

Location: flexible within UK (Stevenage) or US (Collegeville, PA)

Product Owner – Lab Capture & Experience (Labs & CMC Tech)

GSK R&D and Digital & Tech’s collective goal is to deliver impactful results, accelerating the discovery and development of medicines and vaccines to patients. As the key Tech partner, R&D Digital & Tech supports our R&D ambition by supercharging our scientists with data. The Lab Capture & Experience function is pivotal in this mission, delivering systems which support the lab scientist experience across the R&D process when recording experimental data, managing the complex and diverse metadata which enables scientists to meet regulatory requirements for data capture and facilitating automated consumption of data to drive medicine and vaccines development.

As the Principal Product Owner Research Experimental Data Workflow, you will be at the forefront of designing and delivering an innovative roadmap that delivers a laboratory scientist experience of the future and will be instrumental in shaping how R&D captures, manages and leverages experimental data across target identification and drug discovery areas. Your mission is to leverage your scientific knowledge and leadership skills to enhance the user experience and produce high quality, standardised and contextualised data that can feed our ambition on using technology, including AI, to optimise our science.

In this dynamic role you will partner with other Product Owners, working collaboratively and adaptively to continuously meet user needs and deliver value to GSK. You will engage at all levels within the organization as well as outside Tech and business stakeholders, navigating various business and geographic cultures to provide expert guidance and foster positive interactions.

Key Responsibilities

• Serve as a trusted advisor with strong domain expertise in areas such as business processes and industry best practices. Stay abreast of industry trends and identify opportunities for innovation.
• Own the product vision, roadmap and delivery for Revvity Signals Notebook & VitroVivo applications across Research, ensuring alignment to the Lab Strategy and broader Labs & CMC Tech priorities including standards, workflows, integrations and critical data foundations that enable FAIR, reproducible and analyzable experimental data.
• Work closely with R&D scientists (bench & data), data engineering and vendors to translate scientific needs into clear product requirements and practical, high-impact solutions.
• Prioritise and manage the product backlog, drive delivery with cross-functional Agile delivery teams, and ensure features are delivered with high quality and measurable value.
• Champion data integrity, lineage, provenance and interoperability requirements for experimental data; partner with data governance and data