Senior Director Scientific Digital and AI Products

To provide senior leadership and end-to-end accountability for CMC's scientific data, application, and AI product portfolio, leading a multidisciplinary team spanning forward-deployed engineering, data and application product management, and agentic AI product strategy. Operating at a senior leadership level, the role sets the integrated vision, strategy, and roadmap that determine how the team's combined engineering, product, and AI capabilities are prioritised, resourced, and delivered to meet CMC's clinical-to-commercial manufacturing and control needs. The role is accountable for building and developing a high-performing, cohesive team, for the quality, compliance, and value of everything the team delivers, and for representing CMC's scientific data and AI capability to senior stakeholders across R&D, Global Supply Chain, Quality, and enterprise leadership.

Responsibilities
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

• Provide senior leadership and line management for the CMC Scientific Data & AI Products team, spanning forward deployment engineering, data and application product management, and agentic AI product strategy, setting a unified direction across the portfolio.

• Own overall accountability for the team's delivery, quality, and value realisation, ensuring the forward-deployed engineering, product management, and AI strategy functions operate cohesively toward shared CMC priorities.

• Set and communicate the integrated strategy and roadmap for CMC's data, application, and agentic AI product portfolio, aligning investment and resourcing decisions across disciplines with functional and enterprise priorities.

• Lead, coach, and develop direct reports and their teams, building capability, succession planning, and career pathways across engineering, product management, and AI product leadership disciplines.

• Act as the senior escalation point and decision-maker for cross-functional trade-offs, resolving competing priorities between deployment, delivery, and strategic AI initiatives.

• Represent CMC's data and AI product capability to senior stakeholders across R&D, Global Supply Chain, Quality, and enterprise leadership, securing sponsorship, resources, and alignment for the portfolio.

• Own the overall governance, data quality, and GxP compliance posture of the team's products and deployments, ensuring consistent standards are applied across all delivery streams.

• Manage the team's budget, headcount, and resourcing, including external technology partners and contractors, allocating capacity across deployment, delivery, and strategic priorities.

• Define and track portfolio-level success metrics, using these to evaluate performance, prioritise investment, and report progress to senior leadership.
• Champion responsible and compliant AI, data engineering, and product management practice across the team, fostering a culture of technical excellence, adoption, and continuous improvement.

Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• Bachelor's degree in computer science, Data Science, Data Engineering, Artificial Intelligence/Machine Learning, Bioinformatics, Engineering, Life Sciences, or a closely related scientific or technical field.
• 12+ years of progressive experience across data engineering, AI/ML or agentic product management, and software or application delivery, including substantial experience leading and developing multidisciplinary teams (spanning engineering, product management, and AI product leadership) that deliver production-grade data and AI-enabled solutions, ideally within a pharmaceutical, CMC, or other GxP-regulated environment, with demonstrated experience managing senior/manager-level direct reports.
• Experience leading, hiring and developing managers and their teams across engineering, product management and AI/data science.
• Strong understanding of forward-deployed engineering, data and application product management, and agentic AI product strategy. You set direction and make sound trade-offs across all three.
• Excellent stakeholder management and influencing skills. You align senior scientific, technical, quality and enterprise leaders.
• Strong track record managing budgets, headcount and resources, including external technology partners and contractors.
• Working knowledge of data governance, model validation, data quality and responsible AI practice in a regulated Good Practice (GxP) environment.
• Strong analytical skills. You define portfolio-level metrics and use evidence to guide priorities and investment.
• Experience holding senior accountability for production data and AI products, including architecture, delivery and regulatory trade-offs.
• Experience evaluating, governing and negotiating with third-party AI and data platforms, vendors and technology partners.
• Sound commercial and strategic judgement. You balance scientific value, technical feasibility, regulatory constraints and business priorities.

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

• Master's degree or PhD in a scientific, data science, AI/ML, or engineering discipline, or relevant senior leadership, product, or AI/cloud platform certifications
• Proven ability to set and communicate integrated portfolio strategy, translating scientific and operational priorities into a clear, resourced roadmap
• Skilled at coaching and developing talent, building succession plans, and fostering a culture of technical excellence and continuous improvement.

Work Location and Flexibility
This role is based in the United States and offers a hybrid work model, combining remote work with on-site collaboration to foster strong teamwork and engagement.
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Skills

Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Predictive Modeling, Python (Programming Language) • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $232,650 to $387,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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.

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.

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