Director, AI/ML Enterprise Architect

hackajob is collaborating with GSK to connect them with exceptional tech professionals for this role.

GSK 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.
  
  

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.