CPGR Growth Leader – AI Engineering, Strategic Accounts

Umanist NA; Chicago (IL); On-site; USD 250,000 - 350,000; Full time

Job summary

Umanist NA in Chicago, IL seeks a senior leader to expand enterprise relationships and drive multi-year transformation programs across AI, data engineering, and cloud.

The role emphasizes growth within existing strategic accounts, requiring strong commercial leadership, deep exec-level relationships, and fluency in AI/modernization. On-site, full-time, 15–20+ years of experience are expected.

Qualifications

• 15–20+ years of technology consulting, digital engineering, data/AI services, or enterprise transformation.
• Proven success growing existing strategic enterprise accounts through upselling and wallet share growth.
• Established relationships with CIOs, CTOs, and CDOs or other senior enterprise decision-makers.
• Experience originating and expanding multi-year transformation programs within existing clients.
• Strong CPG industry experience; retail experience not preferred.
• Fluent in AI/ML, data engineering, analytics, and modern enterprise technology modernization.
• Understanding of cloud architecture, data platforms, APIs, microservices, and AI governance.
• Commercial expertise in account planning, deal structuring, pricing, and revenue growth.
• Ability to connect technology investments with measurable business outcomes.

Responsibilities

• Own revenue growth, pipeline, bookings, profitability, and wallet-share expansion within assigned strategic accounts.
• Build and deepen relationships with CIOs, CTOs, CDOs, business presidents, and senior technology executives.
• Identify opportunities to expand engagements into enterprise-wide AI and technology modernization programs.
• Originate, shape, negotiate, and close multi-million-dollar, multi-year consulting and engineering engagements.
• Develop growth strategies based on client priorities, budgets, and transformation roadmaps.
• Lead executive discussions on AI engineering, Generative AI, data platforms, and enterprise modernization.
• Coordinate cross-functional teams to deliver integrated client solutions.
• Scale successful initiatives across business units and geographies.
• Manage negotiations, pricing, risk, and executive-level client engagement.

Skills

Strategic account management

Executive relationship building

AI/ML fluency

Cloud & data modernization

Negotiation & deal strategy

Education

Bachelor's degree in Engineering/CS/Business

MBA or advanced degree

Job description

About The Role

This is a senior, client-facing leadership position focused on expanding existing enterprise relationships, increasing account wallet share, and growing multi-million-dollar, multi-year transformation programs across AI, data engineering, advanced analytics, cloud, and digital engineering.

Location: New York, NY or Chicago, IL

Work Arrangement: On-site

Employment Type: Full-time

Experience: 15–20+ years

About The Role

This is a senior, client-facing leadership position focused on expanding existing enterprise relationships, increasing account wallet share, and growing multi-million-dollar, multi-year transformation programs across AI, data engineering, advanced analytics, cloud, and digital engineering.

The ideal candidate brings established CIO, CTO, and CDO relationships, a proven record of strategic account expansion, strong commercial leadership, and the technical fluency to shape enterprise AI and modernization opportunities.

This role emphasizes growth within existing strategic accounts rather than primarily pursuing new logos.

Key Responsibilities

• Own revenue growth, qualified pipeline, bookings, profitability, and wallet-share expansion across assigned strategic accounts.
• Build and deepen relationships with CIOs, CTOs, CDOs, business presidents, and senior technology executives.
• Identify opportunities to expand existing client engagements into enterprise-wide AI and technology transformation programs.
• Originate, shape, negotiate, and close multi-million-dollar, multi-year consulting and engineering engagements.
• Develop account growth strategies based on client priorities, executive relationships, budgets, and transformation roadmaps.
• Lead executive discussions on AI engineering, Generative AI, agentic AI, data engineering, advanced analytics, and enterprise modernization.
• Shape opportunities spanning AI/ML engineering, cloud and data-platform modernization, application engineering, intelligent automation, and enterprise transformation.
• Translate business objectives into compelling transformation roadmaps, investment cases, value propositions, and commercial proposals.
• Coordinate consulting, AI, data, cloud, product, and engineering teams to develop integrated client solutions.
• Expand successful initiatives into scalable, production-ready programs across business units and geographies.
• Manage commercial negotiations, pricing, deal strategy, risk, profitability, and executive-level client engagement.
• Collaborate with technology partners and internal capability leaders to develop differentiated AI and engineering propositions.

Required Qualifications

• 15–20+ years of experience in technology consulting, digital engineering, data and AI services, or enterprise transformation.
• Demonstrated experience growing existing strategic enterprise accounts through upselling, cross-selling, and increased wallet share.
• Established and sustained relationships with CIOs, CTOs, CDOs, and other senior enterprise decision-makers.
• Proven success originating and expanding multi-million-dollar, multi-year transformation programs within existing clients.
• Strong CPG industry experience is required; CPG-heavy experience is strongly preferred over predominantly Retail experience.
• Working technical fluency in AI/ML, Generative AI, agentic AI, data engineering, advanced analytics, and enterprise technology modernization.
• Understanding of cloud architecture, modern data platforms, APIs, microservices, platform engineering, DevSecOps, MLOps/LLMOps, and AI governance.
• Strong commercial expertise in account planning, opportunity qualification, deal structuring, pricing, negotiation, and revenue growth.
• Ability to connect technology investments with measurable business outcomes and executive-level value propositions.
• Experience leading multidisciplinary, geographically distributed teams in a matrixed consulting organization.
• Excellent executive communication, presentation, relationship-building, and stakeholder-management skills.
• Bachelor's degree in Engineering, Computer Science, Business, or a related discipline; MBA or advanced degree preferred.

Skills: data,transformation,technology,enterprise,data engineering,cloud,modernization,analytics,shape,advanced