Director, Enterprise AI/ML Architect

Company: GlaxoSmithKline
Location: Durham
Posted on: May 3, 2025

Job Description:

Site Name: Philadelphia Walnut Street, Durham Blackwell StreetPosted Date: Apr 14 2025GSK Pharma Company is seeking a visionary and experienced AI/ML Enterprise Architect to join its Enterprise Architecture team. This role will drive enterprise-level AI/ML strategies, ensuring alignment with business outcomes, enterprise goals, and architectural principles. The AI/ML Enterprise Architect will work across multidisciplinary teams and directly influence the organization's ability to leverage AI/ML for innovation and transformation.Role Overview:

• Collaborates across business stakeholders, enterprise architects, and technical teams to orchestrate AI/ML strategies that align enterprise technology investments with business goals.
• Enables the organization to become AI/ML-driven by embedding AI/ML capabilities as part of the enterprise architecture framework.
• Drives the creation and maintenance of enterprise-level AI/ML reference architectures, ensuring scalability, reusability, and standardization across the organization.
• Provides strategic guidance on AI/ML platform selection, ensuring technologies align with enterprise strategies to enable sustainable innovation.
• Partners with senior leaders to align AI/ML strategies with overarching business priorities, translating technical concepts into business value.Key Responsibilities:Strategy and Collaboration
  • Develop and implement the company's AI/ML vision and roadmap, working with stakeholders to identify opportunities where AI/ML can drive business outcomes.
  • Collaborate with business architects to define success metrics for AI/ML initiatives, ensuring outcomes are measurable and tied to enterprise objectives.
  • Orchestrate contributions from multidisciplinary teams, including business stakeholders, data scientists, enterprise architects, and external vendors.Enterprise Data and AI Integration
    • Integrate AI/ML solutions into the broader enterprise architecture, ensuring that technology investments align with company-wide strategies.
    • Collaborate with data architects to define and implement an enterprise data strategy that supports AI/ML initiatives.
    • Maintain the AI/ML knowledge repository, ensuring consistency and reuse of architecture assets.Technology Assessment and Governance
      • Evaluate and recommend AI/ML platforms, tools, and technologies for enterprise use, ensuring they meet scalability, reliability, and compliance requirements.
      • Establish and maintain AI/ML governance frameworks, including role definitions, architectural principles, and standards to ensure alignment with enterprise objectives.
      • Monitor emerging AI/ML technologies and assess their potential to drive business innovation.Leadership and Influence
        • Act as a thought leader to evangelize AI/ML adoption across business units.
        • Partner with senior leadership to translate AI/ML opportunities into actionable business strategies and measurable ROI.
        • Build and mentor an internal AI/ML architecture community, driving professional development and knowledge-sharing among team members.Why You?Basic Qualifications:
          • Bachelor's degree
          • 8+ years of experience designing and implementing enterprise-level AI/ML strategies.
          • Experience aligning AI/ML initiatives with business objectives.
          • Knowledge of core AI/ML platforms (e.g., AWS, Google Cloud, Azure) and enterprise architecture methodologies (e.g., TOGAF).
          • Experience in enterprise data management and its application in AI/ML initiatives.Preferred Qualifications:
            • Experience collaborating with diverse teams, including business, data, and IT professionals.
            • Familiarity with pharmaceutical industry regulations (e.g., GxP, GDPR, Sarbanes-Oxley).
            • Exceptional communication skills to present complex ideas to technical and non-technical audiences, including senior executives.
            • Demonstrated ability to evaluate AI/ML technologies and assess their fit within an enterprise ecosystem.
            • Experience driving AI/ML strategy in global, matrixed organizations.
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Keywords: GlaxoSmithKline, Durham , Director, Enterprise AI/ML Architect, Professions , Durham, North Carolina