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Cognizant · 2 weeks ago

Engagement Lead with Al Strategy exp (Remote)

United States

Full-time

Remote

Senior Level

$150K/yr - $168K/yr

Cognizant is a leading provider of Robotic Process Automation and AI solutions, and they are seeking an Engagement Lead / AI Strategy Lead to manage automation delivery for a North America-based customer. This role focuses on establishing and growing Cognizant’s Automation presence by ensuring operational excellence and creating long-term partnerships with clients.

ConsultingIndustrial AutomationInformation TechnologySoftwareSoftware Engineering

No H1B

Responsibilities

Lead discovery sessions with clients and partner with the product owners and architects in the client organization to identify and evaluate AI automation opportunities, lead design and drive the right fit automation solution to achieve the expected business outcomes

Design and deliver AI strategy roadmap aligned with client objectives

Ensure delivery excellence by embedding best practices, outcome management and delivering on our commitments for both implementation and support

Establish, sustain or grow the Intelligent Process Automation capability in the assigned accounts. For example, identify opportunities for interconnected solutions, expand existing capabilities to new business areas, etc

Be a trusted delivery partner and point of contact for the client and Cognizant teams for the automation program/engagement

Ensure contractual commitments are tracked and implemented with reference to delivery

Collaborate with extended delivery teams across the globe

Qualification

AI automation expertiseIntelligent Process AutomationCloud AI servicesProgram managementBusiness acumenClient managementInfluencing skillsOperational rigorLeadershipCommunication

Required

Intelligent Process Automation practitioner, experienced in leading AI automation opportunity identification and evaluation

Experience in assessing client infrastructure, data capabilities and organizational readiness for AI adoption

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

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

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

Business Acumen - demonstrated experience in leading automation delivery for Insurance industry

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

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

Communication – Demonstrated strength in both verbal and written communication. Ability to clearly message across levels of an organization, including a strong executive presence

Financial acumen - to manage project P&L from an internal standpoint and help guide client in their investment choices from an external facing standpoint

Multi-geo experience and the ability to create effective relationships with offshore teams in a global delivery model

Exceptional client management skills and experience

Ability to work collaboratively in a virtual and highly-matrixed environment

Willing to travel to client location as per engagement requirement