CPGR Growth Leader, AI Engineering, Strategic Accounts

About The Role Our client is seeking a senior, client-facing growth leader to own the AI Engineering workstream across a portfolio of strategic accounts. The role focuses on building C-suite relationships, originating enterprise transformation opportunities, and converting them into scaled, multi-year programs spanning AI, data, cloud, and engineering modernization. The successful candidate will operate at the intersection of strategic account growth, technology advisory, and transformation execution. They will work closely with CIOs, CTOs, CDOs, business executives, and senior technology leaders to understand enterprise priorities and translate them into differentiated AI engineering and modernization strategies. The role covers the full opportunity lifecycle, from executive engagement and problem definition through solution development, commercial negotiations, deal closure, mobilization, and expansion. The ultimate objective is to move beyond isolated pilots and establish funded transformation roadmaps, strong executive sponsorship, and repeatable enterprise-wide programs with measurable business and technology outcomes. Requirements Experience and Commercial Leadership 15+ years of experience in technology consulting, digital engineering, data and AI services, or enterprise transformation, including significant responsibility for strategic account growth.Proven track 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 executives.Strong commercial expertise in opportunity qualification, deal strategy, pricing, contracting, negotiation, risk management, and portfolio economics.Experience leading multidisciplinary, geographically distributed teams in a matrixed organization. Enterprise Technology and AI Expertise Strong understanding of enterprise modernization, including:Cloud-native architecture and data platforms, including Lakehouse patternsAPIs, integration, and microservicesDevSecOps and platform engineeringMLOps/LLMOps and observabilityLegacy technology transformationWorking knowledge of applied AI, Generative AI, agentic systems, retrieval-augmented generation (RAG), model and data engineering, and AI governance.Understanding of the requirements for secure, reliable, production-scale AI deployment.Ability to connect technology architecture and engineering decisions with business outcomes, operating-model changes, adoption, and quantified value. Executive and Client Leadership Excellent executive communication, storytelling, facilitation, and proposal-writing skills.Ability to simplify complex technology decisions for both business and technical audiences.Strong judgment and the ability to challenge clients constructively while building consensus.Willingness to travel to client locations as required. Preferred industry experience: Consumer Packaged Goods (CPG), retail, or another data-intensive enterprise sector. Leadership Competencies Strategic account entrepreneurship: Identifies growth opportunities, creates momentum, and takes end-to-end ownership.C-suite influence: Builds trust through relevant insights, candor, and consistent follow-through.Transformation thinking: Connects business strategy, technology modernization, operating-model change, and measurable value.Technical credibility: Guides architecture and engineering decisions while maintaining an executive-level perspective.Commercial discipline: Qualifies opportunities rigorously, builds credible business cases, and protects profitability.Enterprise orchestration: Aligns client, internal, and partner stakeholders around shared outcomes.Scale mindset: Designs for adoption, reuse, governance, and repeatability.Judgment and integrity: Identifies risks early and prioritizes responsible decisions and long-term client trust. Education Bachelor's degree in Engineering, Computer Science, Business, or a related field.Master's degree, MBA, or equivalent advanced qualification preferred. Key Responsibilities Strategic Growth and C-Suite Engagement: Own the AI Engineering growth agenda, including qualified pipeline, bookings, revenue, margins, and profitable expansion across assigned strategic accounts.Build trusted-advisor relationships with CIOs, CTOs, CDOs, Chief Digital Officers, business presidents, and senior technology leaders across multiple buying centers.Develop executive-level perspectives on AI-led transformation and enterprise modernization, linking technology decisions to business growth, productivity, resilience, speed, and customer experience.Map account priorities, stakeholders, budgets, decision-making processes, and competitive positioning to develop targeted account and pursuit strategies.Lead executive briefings, innovation sessions, modernization assessments, and co-creation workshops to generate sponsored, outcome-driven transformation opportunities. Transformation Origination and Enterprise ModernizationIdentify and shape strategic opportunities across:Data platform and cloud modernizationAI/ML engineering, Generative AI, and agentic AIApplication and software engineeringIntelligent operations and enterprise automationTranslate enterprise technology environments and business objectives into multi-year transformation roadmaps, investment cases, target architectures, and governance models.Connect legacy data, application, integration, and engineering modernization with AI readiness and near-term business value.Advise clients on responsible AI, security, privacy, model risk, data governance, interoperability, and operating-model requirements for enterprise adoption.Combine Fractal's capabilities, platforms, accelerators, and industry solutions into integrated transformation propositions rather than standalone offerings. Pursuit Leadership and Program ScalingLead complex, large-scale pursuits from qualification through solution design, value engineering, proposals, commercial negotiations, and executive deal closure.Develop business cases with defined baseline metrics, expected benefits, investment requirements, risks, dependencies, and a clear path from proof of value to production-scale implementation.Coordinate consulting, AI, data, cloud, product, design, and engineering teams around a unified client proposition and delivery model.Remain involved during mobilization and critical delivery milestones to protect the original business case, maintain executive confidence, and identify expansion opportunities.Scale successful pilots into reusable platforms and multi-business, multi-region programs.Develop client references and executive advocacy to support further growth across the account portfolio. Ecosystem and Practice LeadershipDevelop joint propositions and go-to-market initiatives with hyperscalers, data and AI platforms, and strategic technology partners.Create reusable modernization strategies, reference architectures, executive presentations, solution blueprints, estimation models, and pursuit materials to improve win rates and execution speed.Share market insights and client requirements with capability leaders to influence Fractal's AI Engineering offerings, investments, partnerships, and talent priorities.Coach account, solution, and engineering leaders, promoting commercial accountability, technical credibility, collaboration, and strong client relationships. Compensation And Benefits Benefits include: Health, dental, and vision insuranceLife insurance and disability coverageEligibility for the 401(k) plan after 30 days of employment11 paid holidays12 weeks of parental leaveFlexible paid time off under the company's free-time PTO policyBenefits eligibility and terms are governed by the applicable company plans and policies. About The Company Our client is a global enterprise AI company specializing in artificial intelligence, advanced analytics, data engineering, and AI-powered solutions for large enterprises, including Fortune 500 companies. By combining deep technical and industry expertise with engineering and design capabilities, the company helps organizations transform critical business functions, modernize technology infrastructure, and scale AI solutions from experimentation to production. Its solutions span industries including financial services, healthcare, retail, consumer goods, technology, and manufacturing, with a focus on improving enterprise decision-making, operational efficiency, customer experience, and business growth. Apply Now