Head of Scientific Data & AI Products

GSK plc

Pennsylvania

Hybrid

USD 233,000 - 388,000

Full time

3 days ago
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Job summary

GSK plc seeks a senior leader to drive CMC's scientific data and AI product portfolio. You will oversee forward-deployed engineering, data product management, and agentic AI strategy, shaping the integrated roadmap and aligning resources to deliver high-impact, compliant solutions.

Lead a multidisciplinary team, mentor managers, and ensure governance, data quality, and regulatory alignment across R&D, supply chain, and enterprise leadership. Hybrid US role.

Qualifications

  • Bachelor's degree in a relevant technical field.
  • 12+ years leading data/AI and product teams in regulated environments.
  • Experience managing senior reports in cross-functional settings.

Responsibilities

  • Provide senior leadership for the CMC Scientific Data & AI Products team.
  • Own accountability for delivery quality and value realization across engineering and AI strategy.
  • Set integrated strategy and roadmap for data, applications, and AI products.
  • Coach and develop direct reports; build succession plans.
  • Represent data and AI capabilities to senior stakeholders across R&D and enterprise leadership.
  • Govern data quality and GxP compliance across all deployments.
  • Manage budget, headcount, and external partnerships.
  • Define and track portfolio-level success metrics.

Skills

Artificial Intelligence
Machine Learning
Python
Deep Learning
Predictive Modeling
Intelligent Automation

Education

Bachelor's degree in CS/Data Science/AI
12+ years data/AI leadership

Job description

GSK plc seeks a senior leader to drive CMC's scientific data and AI product portfolio. You will oversee forward-deployed engineering, data product management, and agentic AI strategy, shaping the integrated roadmap and aligning resources to deliver high-impact, compliant solutions.

Lead a multidisciplinary team, mentor managers, and ensure governance, data quality, and regulatory alignment across R&D, supply chain, and enterprise leadership. Hybrid US role.

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