CPGR Growth Leader, AI Engineering, Strategic Accounts

Fractal is a strategic AI partner to Fortune 500 companies, with a vision to power every human decision in the enterprise. We are seeking a senior, client-facing growth leader to own the AI Engineering workstream across a portfolio of strategic accounts. This leader will create C-suite access, originate enterprise transformation opportunities, and shape them into scaled, multi-year programs spanning AI, data, cloud, and engineering modernization.

Responsibilities

Own the AI Engineering growth agenda, qualified pipeline, bookings, revenue, and profitable expansion across assigned strategic accounts; Develop and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, Chief Digital Officers, business presidents, and senior technology leaders; Create executive-level points of view on AI-led transformation and enterprise modernization; Map account priorities, stakeholders, budgets, decision processes, and competitive positions; Lead executive briefings, innovation sessions, modernization assessments, and co-creation workshops; Identify and shape strategic initiatives across data-platform and cloud modernization, AI/ML engineering, GenAI and agentic AI, application and software engineering, intelligent operations, and enterprise automation; Translate client's current-state technology estate and business ambition into a pragmatic multi-year roadmap, sequenced value cases, target architecture, investment case, and transformation governance model; Connect modernization of legacy data, applications, integration, and engineering practices with AI readiness; Advise clients on responsible AI, security, privacy, model risk, data governance, interoperability, and operating-model implications; Bring relevant Fractal capabilities, platforms, accelerators, and industry solutions together into a coherent transformation proposition; Lead large, complex pursuits from qualification through proposal, solution architecture, value engineering, commercials, negotiations, and executive closure; Build compelling business cases with clear baseline metrics, benefits, investment requirements, risks, dependencies, and a credible path from proof of value to production scale; Orchestrate consulting, AI, data, cloud, product, design, and engineering teams to create one integrated client narrative, solution, and delivery model; Stay actively engaged through mobilization and critical delivery milestones; Turn successful pilots into reusable platforms and multi-business, multi-region programs; Build joint propositions and go-to-market motions with Hyperscalers, data and AI platforms, and other strategic technology partners; Create reusable modernization plays, reference architectures, executive narratives, solution blueprints, estimation models, and pursuit assets; Share market signals and client needs with capability leaders; Coach account, solution, and engineering leaders.

Requirements

15+ years of experience in technology consulting, digital engineering, data and AI services, or enterprise transformation, including significant responsibility for growth in large strategic accounts; A demonstrated record of originating, shaping, and winning complex, multi-million-dollar or multi-year transformation programs with enterprise clients; Established credibility with CIOs, CTOs, CDOs, and senior business leaders, with the presence and judgment to challenge constructively and build consensus; Strong understanding of enterprise modernization across cloud-native architecture, data platforms and Lakehouse patterns, APIs and integration, microservices, DevSecOps, platform engineering, MLOps/LLMOps, observability, and legacy transformation; Working depth in applied AI, GenAI, agentic systems, RAG, model and data engineering, AI governance, and the requirements for secure, reliable production deployment; Ability to connect technical architecture and engineering choices to business outcomes, operating-model change, adoption, and a quantified value case; Strong commercial acumen across opportunity qualification, deal strategy, pricing, contracting, negotiation, risk management, and portfolio economics; Experience leading multidisciplinary, geographically distributed teams through influence in a matrixed organization; Excellent executive communication, facilitation, storytelling, and written proposal skills; Willingness to travel to client locations as required; Bachelor’s degree in engineering, Computer Science, Business, or a related field; Leadership competencies including strategic account entrepreneurship, C-suite influence, transformation thinking, technical credibility, commercial discipline, enterprise orchestration, scale mindset, and judgment and integrity.

Nice to have

Industry experience in CPG, Retail, or another data-intensive enterprise sector; A master's degree, MBA, or equivalent advanced qualification.

Benefits

Health, dental, vision, life insurance, and disability plans; 401(k) Plan; 11 paid holidays; 12 weeks of parental leave; 'Free time' PTO policy; Performance-based bonus tied to achieving sales goals related to new client acquisition and project growth.