Jobs at GSK

Owns the ServiceNow Risk and Security product backlog, prioritizes requirements, and leads delivery across GRC, IRM, Security Operations, and Vulnerability Response. The role designs and governs configurations, ensures security and compliance, manages platform changes, supports operational readiness, tracks product performance, and guides analysts and delivery teams. It partners with stakeholders, architects, engineers, testers, and managed service providers to deliver secure, supportable, value-driven capabilities.

Leads ServiceNow data intelligence and experience products, including Knowledge, Chat, Voice of Customer, Performance Analytics, BI Data Lake, and Virtual Agent NLU. Owns product roadmaps, prioritization, delivery oversight, stakeholder alignment, partner management, data strategy, security and compliance, budgets, KPIs, and continuous improvement. Coaches Product Owners and guides agile delivery across ServiceNow, Azure, and Google Cloud Platform environments.

Leads ServiceNow products across risk, security, business services, CSM, HRSD, and LSD. Develops product roadmaps, prioritizes backlogs, coaches Product Owners, oversees delivery, manages dependencies, and ensures usability, security, compliance, and operational stability. Partners with senior stakeholders and architects, drives agile delivery and process automation, tracks KPIs, resolves escalations, and oversees product budgets and resourcing.

Leads AI enablement across platform engineering teams by owning reusable patterns, paved paths, reference implementations, governance controls, and AI delivery standards. Drives adoption of AI-first practices, Responsible AI pipeline controls, evaluation gates, and cost governance. Builds engineering capability through coaching and communities of practice, measures adoption, translates enterprise standards into practical workflows, and feeds delivery experience back into shared patterns and primitives.

Leads GSK’s Enterprise AI opportunity portfolio for Global Supply Chain, identifying and prioritizing high-value AI initiatives, building executive-ready business cases, shaping product roadmaps, and guiding engineering delivery. The role manages Product Managers and contractors, partners with senior scientific and business stakeholders, establishes value-realization metrics, promotes reusable AI platforms, and ensures deployments navigate pharma, regulatory, quality, and data-governance constraints.

Leads GSK’s Forward Deployed Engineering function, including strategy, hiring, team development, engineering standards, sponsor relationships, and portfolio decisions. The role also personally delivers strategic AI engagements from proof of concept through initial production, using agent workflows, multi-agent orchestration, RAG, and evaluation techniques. It coordinates with solutions and operations engineering, influences tooling and vendor strategy, ensures responsible AI governance, and reports performance to senior leadership.

Leads business and financial operations for GSK’s Digital Platforms and Technology Foundations function. Owns budgeting, forecasting, cost transparency, unit economics, financial controls, operational governance, workforce cost tracking, and management reporting. Partners with enterprise Finance and technology leaders to improve spend visibility and decision-making. Drives automation, AI-enabled analytics, process simplification, and consistent financial standards across federated teams while leading the central business operations team.

Leads workforce planning, organization design, capability strategy, location and sourcing strategy across a digital technology function. Identifies capability gaps, talent risks and succession needs; develops skills frameworks, career pathways and learning plans; supports organizational change and workforce transformation; and provides workforce insights using analytics and AI. Partners with HR, finance and technology leadership to align workforce shape, capabilities, budget and operating-model objectives.

Leads the global HR technology strategy, operations, transformation roadmap, and product portfolio for People Services, Reward, Global Mobility, Workday, and related platforms. Oversees reliability, cybersecurity, privacy, compliance, vendors, budgets, and risk while driving AI, automation, workflow digitization, and workforce insights. Directs Product Managers, Product Owners, and international delivery teams, ensuring technology investments improve employee experiences, operational efficiency, and business value.

Leads HR digital, data, and AI transformation by shaping technology strategy, aligning roadmaps, governing execution, and driving adoption across HR technology towers. Partners with AI, product, platform, architecture, and HR teams to simplify technology landscapes, embed new ways of working, improve colleague experience, and deliver measurable business value. Also leads change enablement and digital and AI capability-building across the HR organization.

Owns the vision, strategy, roadmap, budget, vendor strategy, and lifecycle for GSK’s Talent and Learning HR technology portfolio. Leads six Product Owners and oversees platforms including Workday Talent, Phenom, MyLearning, Degreed, TechWolf, ODS, and integration services. The role drives HR transformation, automation, data governance, compliance, platform performance, business cases, and cross-functional stakeholder alignment while building scalable, secure, insight-driven technology capabilities.

Leads GSK’s Reward Digital and Technology product group, translating HR strategies into product roadmaps, prioritizing backlogs, overseeing third-party delivery, and coaching Product Owners. The role drives AI-enabled transformation, process optimization, security and compliance, agile delivery, stakeholder alignment, product performance, budgets, and team development across Reward and Benefits systems.

Build and maintain financial, valuation, forecasting, and operational models supporting pharmaceutical R&D portfolio investment decisions. Analyze scientific, clinical, financial, and operational data; develop dashboards, reports, simulations, and KPI tracking; identify variances; and prepare decision materials. The role also communicates quantitative insights to nontechnical stakeholders and collaborates across finance, development, operations, and technology teams.

Leads GSK’s global Compliance Centre, overseeing scalable case management, governance, audit readiness, risk escalation, and compliance service quality across Privacy, ABAC, third-party risk, investigations support, and CAPA. Drives insight generation, process simplification, automation, AI-enabled transformation, and operating model improvements. Partners with senior stakeholders, technology teams, and compliance leaders to identify risk trends, improve efficiency, and support enterprise decision-making.

Partners with senior Digital and Technology leaders to develop and execute people strategies across talent, succession, leadership development, workforce planning, organizational design, culture, engagement, and transformation. Advises executives, leads cross-functional HR initiatives, uses workforce insights to guide decisions, and supports capability building, change management, and organizational effectiveness in a complex global environment.

Leads GSK’s enterprise Organisational Culture Assurance capability, developing assurance strategy, culture-risk frameworks, methodologies and annual plans. Oversees targeted reviews, behavioural analytics, AI-enabled insights and executive dashboards to identify cultural and behavioural risks. Integrates culture considerations into internal audit, advises senior leaders and Board committees, and leads a multidisciplinary specialist team. Requires significant experience in audit, risk, compliance, HR or organisational development, with strong analytical, influencing and leadership capabilities.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.