Senior Principal - Data Intelligence Product Owner

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.
Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.

Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.

Job Purpose   

The Data Intelligence Product Owner is responsible for maximising the value of ServiceNow Platform by translating business needs into a prioritised backlog and leading delivery across the product lifecycle, within strategic and financial guardrails set by the ServiceNow Data Intelligence & Experience Product Manager and the Senior Director of ServiceNow Platform & Enterprise Tools.

The Product Owner is accountable for implementing the data strategy and ensuring the Code Orange data lake is robust and fit for consumption for all functions to self-serve in building of reports and dashboards. This role supports a federated model and provides consultation on data lakes and ServiceNow Platform Analytics while supporting augmentation of data as new capabilities are introduced. 

Key Responsibilities

Key Responsibilities 

• Accountable for ServiceNow Platform Analytics and associated data lakes such as Code Orange (Azure Data Lake), including the technical strategy, data models, analytics frameworks and reusable reporting capabilities required to respond to agreed stakeholder demand.
• Partner with business stakeholders to understand functional needs, refine requirements, and define product outcomes that support business priorities, within guardrails set by the ServiceNow Data Intelligence & Experience Product Manager and the Senior Director of ServiceNow Platform & Enterprise Tools.
• Partner with ITSM Process & Governance to translate agreed KPI, executive information and reporting requirements into fit-for-purpose data models, pipelines, analytics and reporting capabilities for delivery by internal teams and third-party delivery partners.
• Own and manage the Product backlog (e.g. Jira, ADO etc), ensuring requirements (e.g., epics, features, user stories) are well-defined and supported by minimum data inputs (e.g., cost drivers, user volumes, risk/sensitivity, process impact, dependencies).
• Make prioritisation decisions for the Product backlog based on value, cost, risk, business continuity, and resource capacity, escalating only where strategic trade-offs are required by the ServiceNow Data Intelligence & Experience Product Manager and the Senior Director of ServiceNow Platform & Enterprise Tools.
• Lead the Product team’s delivery activities, guiding Product Analysts and working with Engineers, Architects, and Testers to ensure solutions are fit-for-purpose, secure, compliant, supportable, and aligned to architectural standards.
• Define and communicate requirements and acceptance criteria for the target analytics, reporting framework, technical standards and data model. Ensure third-party delivery partners understand these requirements and deliver in accordance to them adhering to applicable GSK architecture, security, data-quality, engineering and documentation standards; validate delivered outcomes against agreed requirements before acceptance.
• Drive operational readiness by applying a delivery readiness checklist covering support model requirements, training needs, continuity planning, configuration/runbook documentation, release notes, and user onboarding.
• Define and maintain the Product performance dashboard, tracking adoption, cycle time/throughput, stability/defects, UX signals (e.g., CSAT, SUS, completion rates), and support effort; use performance insights to drive continuous improvement.
• Ensure product changes follow required security controls, risk assessments, data handling policies, and regulated change processes, obtaining approvals from relevant SMEs where required.
• Support Solution Architects to assess design options and manage cross-Product dependencies, contract/interface impacts, and sequencing needs to support interoperability and consistent business outcomes.
• Act as an escalation point for the Product team and business users on functional product issues, guiding decisions within agreed financial, risk, and architectural guardrails set by the SERVICENOW Data Intelligence & Experience Product Manager and the Senior Director of SERVICENOW Platform & Enterprise Tools.
• Contribute to the improvement of delivery practices within the Product, promoting agile (i.e. SaFe, Scrum etc), iterative, value-driven, and data-led ways of working, including meaningful measurement of benefits and operational impact.

Professional Qualifications 

• Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Information Technology, or Engineering), or equivalent experience 

• Industry certifications highly desirable (e.g. Agile Methodologies, CPM) 

Area of Specialisation 

• Knowledge of functional domains within Global Functions (e.g., HR, Finance, Legal, etc) and familiarity with the technology platforms that enable them (e.g., ServiceNow).
• Understanding of product performance measures and KPIs, with the ability to drive improvements in product adoption, cycle time, stability, support effort, and overall user experience.

Experience Required 

• Overall 15+ Year and typically 5+ years of experience working in product delivery, digital solutions, business systems, or process-led technology roles.
• Deep data modeling, including understanding of Azure Data Lake, GCP ServiceNow data structures.
• Possess strong Databricks technical proficiency including which includes data tables and schemas, ingestion pipelines and ability to troubleshoot failures and data-quality issues, reading and assessing Databricks Notebooks and supporting scripts, and identifying root causes of errors across the data lifecycle.
• Possess strong technical proficiency Google Cloud Platform (GCP) data services to design, operate, and troubleshoot data solutions, including auditing Dataflow and Cloud Composer ingestion and processing workflows, diagnosing pipeline and job errors, examining
• Cloud Storage and BigQuery storage and orchestration components, and ensuring the robustness of GCP-based data management solutions they build and maintain.
• Proven experience defining and prioritising functional requirements (e.g., epics, features, user stories) and managing a product backlog.
• Experience working within Enterprise HR Technology, Service Management, Corporate Systems, Legal & Compliance etc)
• Experience working directly with business stakeholders to translate needs into feasible, value-led technology changes.
• Demonstrated ability to make prioritisation decisions based on business value, process impact, risk, cost, and technology constraints.
• Experience leading delivery teams or analysts through the product lifecycle, from refinement and design through testing, release, and adoption.
• Familiarity with enterprise governance requirements such as change control, security, data protection, and regulatory/compliance considerations.
• Exposure to continuous improvement approaches (e.g., automation, process simplification, user-centred enhancements) that uplift product adoption, stability, or user experience.
• Experience working within agile delivery environments and using iterative planning, delivery, and release practices.

• Desirable Requirements:
• Deep data modeling and ServiceNow data structure expertise – Strong hands-on knowledge of ServiceNow tables, relationships, and field design, including how data maps into the BI DataBricks and Google Cloud Platfrom data services and supports self-service analytics.
• CMDB and Common Service Data Model understanding – Ensures data structures and mappings to CMDB/CSDM accurately represent services and dependencies, enabling reliable cross-domain reporting without building dashboards directly.
• Deep experience in defining and configuring data models, pipelines, and Performance Analytics sources so process owners and functions can build their own dashboards on trusted, reusable data.
• Able to provide expert guidance on data definitions, KPI feasibility, and modeling patterns, collaborating with federated teams who own specific processes and table structures.
• Skilled in Driving standards, documentation, and guardrails for data quality and usage, empowering business and product teams to self-serve insights while maintaining consistency and control.
  

#AGTech

Skills

Agile Methodology, Artificial Intelligence (AI), Atlassian, Azure Data Lake, Backlogs, Cross-Functional Teamwork, Databricks Agent Bricks, Data Modeling, Design Thinking, DevOps, Leadership Strategies, Process Diagrams, Product Strategies, Project Management, Requirements Gathering, Scrum (Agile), Services Management, Software Development, User Experience (UX), User Research, User Story

 

 

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

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