ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES:

• Strategic Leadership
• Define and lead the enterprise AI strategy, ensuring alignment with corporate goals and transformation initiatives.
• Oversee the centralized AI Hub, including leads for Business Strategy & Value, Workforce Transformation, Responsible AI, Readiness & Adoption, and Business Process Re-engineering.
• Partner with leadership to prioritize AI investments and measure business impact.
• Governance & Risk Management
• Establish and chair the Responsible AI Council, ensuring ethical, legal, and compliant AI practices.
• Collaborate with Legal, Compliance, and Enterprise Risk Management to uphold governance standards and reporting requirements.
• Ensure AI systems meet internal and external audit, transparency, and accountability expectations.
• Operational Enablement
• Drive cross-functional collaboration with Finance and Technology to ensure scalable and sustainable AI delivery.
• Lead the integration of AI into business processes, workforce transformation, and automation initiatives.
• Oversee the development of business cases and value realization frameworks for AI initiatives.
• Adoption & Change Management
• Champion AI literacy and readiness across the enterprise in partnership with HR and Learning & Development.
• Oversee change management, training, and user adoption strategies to ensure successful implementation and sustained usage.

SUPERVISORY RESPONSIBILITIES:

• Directly manage AI Hub leads across five core pillars: Strategy & Value, Workforce Transformation, Responsible AI, Readiness & Adoption, and Process Re-engineering.
• Lead a multidisciplinary team including AI product managers, data scientists, engineers, and adoption specialists.
• Define team structure, performance metrics, and career development plans.
• Provide coaching, mentorship, and succession planning for AI Hub leadership and staff.

KNOWLEDGE, SKILLS AND ABILITIES:

• Proven leadership in enterprise AI, data, or digital transformation.
• Deep understanding of AI technologies, lifecycle management, and responsible AI frameworks.
• Strong strategic thinking, business acumen, and ability to translate AI capabilities into business value.
• Exceptional communication and stakeholder engagement skills, including experience influencing at the leadership level.
• Experience navigating complex, matrixed organizations and leading cross-functional teams.
• Familiarity with change management, digital adoption platforms, and enterprise governance models.

EDUCATION AND TRAINING:

• Bachelor’s degree required; Master’s in a relevant field (e.g., Computer Science, Data Science, Business, Engineering) preferred.
• 8+ years of experience in AI, data, or digital leadership roles.
• Experience leading enterprise-wide AI programs and managing large cross-functional teams.
• Certifications in AI ethics, change management, or project management are a plus.