VP, Chief Enterprise Architect responsible for enterprise-wide architecture and digital transformation at GSK. Driving AI scale and influencing business strategy across global operations.
Responsibilities
Define and lead a multi-year enterprise architecture strategy aligned to business growth, AI scale, operational excellence, and regulatory requirements.
Establish a clear target-state architecture and phased transformation roadmap across global business units.
Design the enterprise AI and data platform architecture to enable AI-at-scale across R&D, manufacturing, and commercial functions.
Establish standards for responsible AI, model governance, data interoperability, and secure AI deployment in regulated environments.
Accelerate AI solution deployment through reusable patterns, reference architectures, and scalable digital platforms.
Advise senior business and technology leaders, translating complex enterprise challenges into actionable architecture roadmaps tied to measurable outcomes.
Align architecture priorities to business KPIs such as time-to-market, productivity gains, cost optimization, and risk reduction.
Serve as enterprise design authority for major transformation programs and strategic investments.
Design pragmatic, agile architecture governance that balances innovation with security, compliance, and enterprise risk management.
Lead enterprise standards across cloud, data, integration, security, and AI domains.
Guide architecture strategy during M&A, integration, and organizational redesign efforts.
Build, inspire, and scale a high-performing global architecture community across enterprise, domain, data, AI, and platform disciplines.
Champion architecture as a strategic capability — shifting from review-and-approve to enable-and-accelerate.
Foster a culture of learning, experimentation, and disciplined execution.
Cultivate strong partnerships across global business functions, external innovators, and strategic technology partners.
Represent enterprise architecture in executive forums and strategic planning discussions.
Requirements
Advanced degree (MS, MBA, or equivalent) and relevant certifications (TOGAF, advanced cloud or AI architecture credentials) would be preferred.
Significant enterprise architecture leadership experience, including service as Chief Architect or Enterprise Architecture VP within complex, global organizations.
Experience in global, highly regulated environments such as bio-pharma, healthcare, or life sciences would be ideal.
Demonstrated ownership of enterprise-wide digital and AI transformation strategies delivering measurable business impact.
Experience architecting scalable AI, cloud, data, and platform ecosystems in regulated industries.
Proven ability to influence executive stakeholders and simplify complex technical strategies into business-aligned action.
Strong execution discipline — balancing strategic vision with practical delivery.
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