Director, Automation Acceleration Hub

CareerCircle
Philadelphia, PA, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Configuration Management Continuous Integration Data Center Infrastructure Management (CIM) DevOps Disaster Recovery Identity and Access Management Machine Learning Automation of Marketing Performance Tuning Cloud Services Tensorflow
+17 more
Software Engineering Software Vulnerability Management Policy as Code Scripting Microsoft Power Automate Pytorch Large Language Models Multi-Agent Systems Generative AI Uipath Information Technology Data Management Machine Learning Operations Virtual Agents Blue Prism Automation Anywhere Devsecops

Job description

Robotic Process Automation Balancing (Ledger/Billing) Product Family Engineering Medical History Documentation Identity And Access Management Agent Orchestration Frameworks Artificial Intelligence Strategy Generative Artificial Intelligence PyTorch (Machine Learning Library) Automation Anywhere (RPA Software) MLOps (Machine Learning Operations) Master Of Business Administration (MBA), 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 centred 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., * Translate enterprise AI strategy into measurable business outcomes.

  • Drive execution across AI engineering, automation, and platform teams.
  • Manage portfolio prioritization, investment decisions, delivery governance, and value realization.

Build and Scale Enterprise AI Capabilities

  • Lead the development and deployment of AI solutions, agents, and automation platforms.
  • Establish enterprise standards, reusable architectures, and AI-first engineering practices.
  • Accelerate adoption of AI across the technology organization through enablement, education, and best practices.

Own the Automation & Platform Ecosystem

  • Lead GSK’s enterprise RPA and intelligent automation capabilities.
  • Own DevSecOps platforms, CI/CD, developer experience, security, compliance, and operational excellence.
  • Drive convergence of traditional automation, AI, and platform engineering into a scalable operating model.

Govern AI Responsibly

  • Establish trusted, compliant, and scalable AI governance frameworks.
  • Partner with Security, Legal, Privacy, Quality, and Compliance teams to ensure safe deployment in regulated environments.
  • Champion Responsible AI principles, operational resilience, and enterprise risk management.

Inspire and Develop High-Performing Teams

  • Lead and grow a global team across AI Engineering, Automation, and Platform Engineering.
  • Influence executive stakeholders and technology leaders across the enterprise.
  • Represent GSK externally with strategic partners, technology providers, and industry forums., Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/ Related Jobs Industry Liaison (Oncology Studies) Actalent

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Requirements

Medicaid Geography Scripting Visionary DevSecOps Pipelines Operations Leadership Automation Governance Innovation Immunology Statistics TensorFlow Agentic AI Scalability AI Adoption Life Sciences Virtual Teams Prioritization Responsible AI Pharmaceuticals Agentic Systems Computer Science Machine Learning Operating Systems Disaster Recovery Strategic Planning Performance Tuning Early Intervention Incident Management Infectious Diseases Software Engineering Investment Decisions UiPath (RPA Software) Supply Chain Security Intelligent Automation Operational Resilience Artificial Intelligence Research And Development Configuration Management Microsoft Power Automate BluePrism (RPA Software), * 12+ years of progressive technology leadership experience, with at least 5 years leading enterprise AI engineering, platform engineering, DevOps/DevSecOps, or intelligent automation organizations at the SERNIOR DIRECTOR or equivalent level.

  • Demonstrated ownership of enterprise AI and automation delivery - designing, building, and deploying solutions at global scale with measurable business impact.
  • Deep, current subject matter expertise in modern AI architecture and engineering - LLMs, generative AI, agentic systems, classical ML, and the supporting MLOps/LLMOps tool ecosystem.
  • Proven experience running large-scale DevSecOps platforms - CI/CD, secure-by-design pipelines, policy-as-code, supply chain security, and developer experience as a product.
  • Track record of building and scaling enterprise RPA or intelligent automation capabilities, including the operational discipline required to run a reliable bot estate.
  • Experience defining frameworks, reference architectures, reusable AI assets, and golden paths adopted across multiple teams or business units.
  • Strong record influencing executive stakeholders and translating complex technical strategies into clear, business-aligned action; effective as the bridge between strategy, platforms, and delivery.
  • Experience leading delivery in regulated, mission-critical environments with rigorous governance, security, and risk requirements; strong execution discipline balancing strategic vision with pragmatic delivery.
  • Experience leading distributed teams across multiple geographies, including the US, UK, and India., * Advanced degree (MS or PhD) in Computer Science, Machine Learning, Software Engineering, Statistics, or a related quantitative discipline; MBA a plus.
  • Experience in global, highly regulated industries such as bio-pharma, healthcare, life sciences, or financial services.
  • Hands-on credibility with leading AI frameworks (PyTorch, TensorFlow, JAX), foundation model platforms, retrieval and vector technologies, agent orchestration frameworks, and modern DevSecOps toolchains.
  • Experience with major RPA platforms (UiPath, Blue Prism, Automation Anywhere, Power Automate) and converging RPA with agentic AI patterns.
  • Demonstrated success rationalizing fragmented AI, automation, or platform estates and accelerating adoption of shared platforms and reusable services.
  • Thought leadership through industry forums, publications, patents, or contributions to AI, automation, or DevSecOps standards; experience integrating capabilities post-M&A and through large-scale operating model transformation., CI/CD, Cloud Based Services, Configuration Management (CM), Data Center Infrastructure Management (DCIM), Disaster Recovery (DR), Financial Operations, Identity Access Management (IAM), Incident Management, Operating Systems (OS), Performance Tuning, Scripting, System Monitors, Vulnerability Management

About the company

GSK is seeking a visionary engineering leader to build and lead our newly formed Automation Acceleration Hub, reporting directly to the CTO. This global organization of approximately 50 professionals across the US, UK, and India will serve as the engine behind GSK’s AI, automation, and platform engineering strategy.

You will bring together AI Engineering, Intelligent Automation (RPA), and DevSecOps Platforms into one high-performing delivery organization that accelerates innovation, enables enterprise scale, and delivers measurable business outcomes across research, development, manufacturing, and commercial operations.

This is a rare opportunity to shape how AI is built, governed, and deployed across one of the world’s leading healthcare companies., 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.

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