Ability to work collaboratively in a virtual and highly-matrixed environment.
Recommend frameworks for AI governance, responsible AI and define operating models to scale AI within client environments
Practitioner experience in leading design and implementation of AI automation solutions on either cloud AI services (Azure, AWS, GCP etc.) or IPA tools like UiPath, Microsoft Power Platform/Co-pilot or full-stack technologies including Python.
Business Acumen - demonstrated experience in leading automation delivery for Insurance industry.
Communication – Demonstrated strength in both verbal and written communication. Ability to clearly message across levels of an organization, including a strong executive presence.
Multi-geo experience and the ability to create effective relationships with offshore teams in a global delivery model.
Leadership– Ability to lead and manage a high performing team and support growth and development of team members. This individual will be expected to work with his or her team to continue to grow and develop team members to meet the fast-paced demand of the digital and automation space.
Operational Rigor – Demonstrated success and strength in managing across clients and programs to deliver results. This will combine a strong mindset in program and project management, leveraging data to drive objectives and creating strategic plans to deliver results for today while setting up for continue accelerated growth.
Management experience - Experience in leading and executing global automation programs involving Smart Data Intake, ML, Gen AI and Agentic AI solutions, with established governance at exec leadership/steering committee level.
Influencing skills - Ability to work with those within other teams to collaborate on optimal solutions and outcomes for clients. This individual will be expected to work with teams within the practice, collaborate with other business units and partner with account teams while managing to client expectations and growth strategies.
Financial acumen - to manage project P&L; from an internal standpoint and help guide client in their investment choices from an external facing standpoint.
Experience in assessing client infrastructure, data capabilities and organizational readiness for AI adoption
Exceptional client management skills and experience.
Intelligent Process Automation practitioner, experienced in leading AI automation opportunity identification and evaluation
Willing to travel to client location as per engagement requirement