Platform & Engineering Senior Manager

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 centered 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.

The Risk Analytics and Monitoring (RAM) team supports GSK in establishing a proactive, data-driven compliance culture that aligns with the organisation's strategic priorities and values. Our team delivers actionable insights that enable Legal and Compliance teams to identify emerging risks, focus resources, and make better-informed decisions. Through advanced analytics and responsible application of artificial intelligence, we strengthen risk management, improve Compliance effectiveness, and help position Compliance as a strategic partner to the business.

Role Overview

We are seeking a senior platform and engineering leader to ensure that Risk Analytics products run on trusted data, resilient engineering, and effective technical controls. This role is accountable for the foundations beneath the product portfolio rather than for the business-facing AI and analytics products themselves. The Platform & Engineering portfolio spans two areas:

• Data Engineering and Pipelines covering the design, build, integration, operation, and modernisation of the data analytics pipelines and platforms that supply Risk Analytics products.

• Data Governance and Agent Infrastructure covering data governance, sensitive-data security, identity and access, lineage, retention, and the shared orchestration, telemetry, evaluation, and control services used by AI agents.

You will take primary ownership of one portfolio, based on your expertise and the complementary strengths of the wider team. Success will be measured through platform reliability, data quality, control effectiveness, secure access, operational readiness, and the ability of downstream products to scale without creating avoidable technical or governance risk.

In this role you will

• Own the architecture and operational roadmap for an assigned platform portfolio, prioritising reliability, security, data quality, scalability, technical debt, modernisation, and product dependencies.

• Deliver and operate production-grade foundations across pipelines, integrations, data platforms, governance controls, or shared agent services, with monitoring, support, change control, and lifecycle management.

• Set and enforce technical standards for data modelling, ETL or ELT, APIs, testing, deployment, observability, lineage, access, retention, auditability, resilience, and production support, as relevant to the assigned portfolio.

• Provide architecture assurance and engineering oversight to internal teams and delivery partners, reviewing designs, implementation quality, non-functional requirements, testing evidence, security, and production readiness.

• Enable Compliance Risk Analytics and AI product teams by translating risk analytics data, integration, security, and infrastructure needs into scalable platform capabilities.

• Lead enterprise technical relationships with Technology, Privacy, source-system owners, and delivery partners to resolve dependencies, secure approvals, and coordinate complex operational change.

• Improve reuse, automation, and cost efficiency by standardising patterns, reducing manual support, simplifying the estate, and strengthening engineering and governance capability through documentation, coaching, and knowledge transfer.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• Significant experience designing, delivering, and operating enterprise data platforms, data engineering capabilities, governance and security frameworks, or AI-enabling infrastructure in production.

• Deep expertise in at least one of the following areas:

  • Data engineering and pipelines, including cloud data platforms, ETL or ELT, APIs, orchestration, data modelling, automated testing, deployment, observability, incident management, and operational reliability.
  • Data governance and agent infrastructure, including data classification, identity and access, lineage, retention, metadata, sensitive-data controls, telemetry, evaluation infrastructure, and governance assurance.

• Strong architecture and engineering leadership with experience making design decisions, setting standards, managing technical debt, assuring delivery quality, and operating services through their full lifecycle.

• Strong technical depth in Python, SQL, cloud architecture, APIs, enterprise integration, security patterns, and modern engineering practices, with the credibility to guide technical teams without acting as the primary developer.

• Experience working with sensitive or regulated data and translating security, privacy, regulatory, and business requirements into practical architecture, controls, and auditable evidence.

• Demonstrated ability to lead complex cross-functional delivery and influence senior architects, engineers, risk specialists, and business stakeholders in a global matrix organisation.

• Advanced knowledge gained through a degree or equivalent professional experience in computer science, data engineering, software engineering, information security, data governance, analytics, or a related discipline.

Preferred Skills:

If you have the following characteristics, it would be a plus:

• Experience in pharmaceuticals, financial services, healthcare, or another regulated domain.

• Experience with Microsoft Azure, Databricks, workflow orchestration, CI/CD, identity and access technologies, data cataloguing and governance platforms, agent platforms, or comparable enterprise technologies.

• Experience leading external engineering partners and delivering global platform capabilities involving multiple source systems, sensitive data, modernisation, and operational support.

Closing Date for Applications: Friday 23rd October 2026 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.

#LI-GSK #LI-Hybrid

Skills

Business Acumen, Data Acquisition Systems, Data Engineering, Data Evaluation, Data Visualization, Project Management

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 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.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive

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