Head of Enterprise AI and Process Transformation (INDG)

What you will do

• Partner across business units and technology teams to help shape and operationalize the organization’s Enterprise AI strategy
• Collaborate with teams to identify high-impact AI use cases aligned to business priorities and measurable outcomes
• Enable adoption of AI tools, copilots, agentic workflows, and intelligent automation capabilities to augment employee productivity
• Develop repeatable frameworks and reusable patterns that help teams scale successful AI initiatives
• Serve as a strategic advisor and enablement partner on emerging AI technologies, capabilities, and market solutions
• Identify opportunities to streamline workflows, eliminate manual effort, and improve operational effectiveness through AI and automation

Enterprise AI Enablement & Transformation Strategy

• Partner with business units to uncover unmet needs, duplicated efforts, and operational inefficiencies
• Connect teams working on similar problems to encourage reuse, shared learning, and scalable solutions
• Facilitate forums and working sessions to surface, prioritize, and scale high-impact opportunities across the organization
• Support clearer ownership models, operational interfaces, and decision-making pathways where coordination challenges exist
• Act as a bridge between business stakeholders, operations teams, and technical delivery teams
• Help teams execute more effectively by reducing unnecessary friction and improving access to shared capabilities
• Drive consistency in how AI initiatives are evaluated, prioritized, and scaled across the organization

Enterprise AI Solutions & Enablement

• Partner with business and technology teams to identify opportunities for AI-enabled transformation and operational improvement
• Work with business, data, and technology teams to improve data readiness, quality, and accessibility, ensuring enterprise data is fit for AI, automation, and analytics use cases
• Support the design, implementation, and scaling of AI and automation solutions that deliver measurable business value
• Develop reusable tools, templates, playbooks, and accelerators that enable faster adoption and implementation
• Improve visibility into AI initiatives, dependencies, tooling, and business outcomes across the enterprise
• Help teams leverage enterprise platforms and capabilities more effectively while avoiding duplication of effort
• Establish best practices that promote scalability, maintainability, and long-term value realization
• Foster a culture of experimentation, learning, and continuous improvement around AI and automation

Change Management & Adoption

• Treat organizational change management as a core enablement capability required for successful transformation
• Help teams adopt AI and automation capabilities through practical rollout strategies, training support, communications, and operational readiness planning
• Build trust and confidence in enterprise AI capabilities through transparency, usability, and partnership
• Develop feedback loops that help teams learn from implementation outcomes and continuously improve solutions
• Promote sustainable adoption with a strong focus on business value, employee experience, and measurable outcomes
• Support broader organizational AI literacy across both technical and non-technical audiences
• Define and track metrics related to adoption, usage, productivity gains, and business impact of AI and automation initiatives
• Champion success stories and best practices to accelerate enterprise-wide learning and adoption