Posted Date: Apr 4 2025
Data Product Owner (DPO) is a key role in this mission to supercharge our data, and is accountable for increasing value, improving flow, and enhancing quality of the data products within their domains in alignment with the R&D strategy.
As the DPO in the R&D you will be accountable for the roadmap of data products consumed across GSK via the Development Data Fabric (DDF). Enabling various stages of R&D Development value chains, covering study site planning, study start-up, study design and beyond.
The DPO will be responsible for defining and prioritizing the backlog for the products in collaboration with their business counterparts and will work closely with the engineering teams to deliver new/enhanced products in line with the roadmap.
The DPO is expected to maintain a working knowledge of R&D development process, systems and data to effectively bridge data generation and consumption whilst surfacing opportunities to further maximize use of this data. DPO helps to make decisions around the vision and the roadmap for the data products, actively seeks and responds to voice of the customer (VoC) and continuously measures and improves quality and usability of data products in the domains.
Key Responsibilities:
- Strategy: Accountable for developing and executing 3-year data product roadmaps in alignment with the R&D strategy and R&D stakeholders. Product roadmaps will be built with a clear focus on value delivery to the R&D strategy and will prioritize investments based on value.
- Product Management: Accountable for managing and prioritizing the data product backlog, driving DDF Program Increment (PI) planning events, aligning on PI commitments, and unblocking issues. Partner with data owners, data stewards and data engineers in Development Tech to ensure features are delivered to plan and in line with expectations.
- Stakeholder Management: Collaborate with cross-functional teams, including subject matter experts, business data governance, data owners, data stewards and data engineers across Development Tech to deliver end-to-end solutions that meet user needs and business goals
- Value delivery and realization: Work with business partners to capture the value of the use cases put forward and guide business data analysts and modelers in translating these use cases into conceptual data flows, target data models and data processing requirements with data re-use and interoperability at the core of the design.
- Lifecycle Management: Manage the data product lifecycle, from ideation to launch to iteration, using agile methodologies. Define and track key performance indicators (KPIs), quality and success metrics for the data products. Actively seek feedback (voice of customer/voice of product) and monitor usage patterns.
- Governance: Partner with business data governance, data owners and data stewards to ensure fit for purpose governance is defined and applied to domain data products.
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- Bachelor’s degree or higher in computer science or engineering
- Proven track record of delivering data products, solutions that solve complex problems and create value for users and stakeholders, preferably in Pharmaceutical R&D
- Experience working with Pharmaceutical R&D data from multiple disciplines across a global enterprise to create cohesive solutions
- Understanding of the data mesh framework and its application in Pharmaceutical R&D analytics including but not limited to data integration, governance, quality, security, lineage, cataloguing, discovery, access, sharing, collaboration, etc.
- Experience with conceptual data flow and data modelling
- Experience with Agile and DevOps framework
- Excellent relationship management, strong influencing and communication skills with senior stakeholders
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
- Life Sciences or Tech/Engineering related Master’s or Doctorate
- Understanding of where emerging (data) technologies can drive increased automation in the creation and management of data products
- Application of Data Mesh (or similar architecture) concept in Pharmaceutical R&D
- Application of semantic, graph technologies (ontologies) in Pharmaceutical R&D
- Application of event-driven architecture (EDA)
Benefits:
· Career at one of the leading global healthcare companies
· Company Car or Car Allowance
· Long-Term incentives
· Contract of employment
· Attractive reward package (annual bonus & awards for outstanding performance, recognition awards for additional achievements and engagement, holiday benefits
· Life insurance and pension plan
· Private medical package with additional preventive healthcare services for employees and their eligible
· Sports cards (Multisport)
· Possibilities of development within the role and company’s structure
· Extensive support of work life balance (flexible working solutions, short Fridays option, health & well-being activities)
· Supportive community and integration events
· Modern office with creative rooms, fresh fruits everyday
· Free car and bike parking, locker rooms and showers
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GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
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