Shape the future of enterprise AI adoption by helping organizations move beyond pilots and unlock real business value. In this role, you will work directly with customer teams to identify challenges, define clear problem statements, and build scalable operating models that support long-term AI success.
What You’ll Do
- Lead discovery sessions and diagnostic engagements to uncover organizational and technical barriers to AI adoption
- Collaborate with clients to design governance structures, decision rights, and processes that enable secure, compliant scaling of AI initiatives
- Facilitate alignment across business and IT stakeholders through workshops, executive sessions, and structured engagement rhythms
- Partner with technical specialists to define project scope, success metrics, and readiness for proofs of value and production rollouts
- Develop change management strategies, training plans, and communities of practice to strengthen customer capabilities over time
- Mentor team members in best practices for AI governance, organizational change, and client engagement
- Coordinate ongoing engagement checkpoints with customer programs and internal leadership to ensure momentum and risk mitigation
- Inform product and playbook improvements by sharing field insights and recurring customer patterns
What We’re Looking For
Candidates should bring extensive experience in enterprise transformation, with a focus on AI, analytics, or digital initiatives. You must have a proven ability to navigate complex organizations, frame ambiguous problems, and connect technology outcomes to business value.
- 6+ years in consulting, analytics, or transformation-driven roles within large enterprises
- Track record of leading cross-functional initiatives from strategy through execution
- Strong skills in root-cause analysis, operating model design, and governance framework development
- Ability to communicate technical concepts in business terms and build compelling narratives
- Experience engaging executives and influencing decision-makers across functions
- Willingness to travel as required by customer needs and business objectives
Preferred Background
- Degree in Business, Computer Science, Engineering, Data Analytics, or related discipline
- Direct experience leading AI or digital transformation programs
- History of advising senior leaders (Director-level and above) on operating models and major change initiatives
