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Fractal Analytics

Enterprise AI solutions for decision making

CPGR Growth Leader - AI Engineering, Strategic Accounts

Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 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, generative AI, agentic systems, retrieval-augmented generation, 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.
  • Bachelor’s degree in engineering, Computer Science, Business, or a related field.

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 across multiple buying centers.
  • Create executive-level points of view on AI-led transformation and enterprise modernization, connecting technology choices to growth, productivity, resilience, speed, and customer experience.
  • Map account priorities, stakeholders, budgets, decision processes, and competitive positions; convert this insight into focused account and pursuit plans.
  • Lead executive briefings, innovation sessions, modernization assessments, and co-creation workshops that generate sponsored, outcome-led transformation opportunities.
  • Identify and shape strategic initiatives across data-platform and cloud modernization, AI and machine learning engineering, generative AI and agentic AI, application and software engineering, intelligent operations, and enterprise automation.
  • Translate a 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, ensuring foundational work enables near-term business value.
  • Advise clients on responsible AI, security, privacy, model risk, data governance, interoperability, and operating-model implications required for enterprise adoption.
  • Bring relevant Fractal capabilities, platforms, accelerators, and industry solutions together into a coherent transformation proposition rather than standalone offerings.
  • 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, protecting the original value thesis, executive confidence, and expansion potential.
  • Turn successful pilots into reusable platforms and multi-business, multi-region programs; establish references and executive advocacy that accelerate growth across the portfolio.
  • 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 that improve win rate and speed.
  • Share market signals and client needs with capability leaders, helping shape Fractal's AI Engineering offerings, investments, alliances, and talent priorities.
  • Coach account, solution, and engineering leaders; foster high standards of commercial ownership, technical credibility, collaboration, and client stewardship.

Desired Qualifications

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

About the Company

Fractal Analytics

Enterprise AI solutions for decision making

Fractal Analytics provides AI-powered analytics and decision-support solutions for large enterprises, including Fortune 500 companies. Its products combine data science, machine learning, and natural language processing to extract insights, automate tasks, and enable conversations: Crux Intelligence (BI), Senseforth.ai (conversational AI), Eugenie.ai (sustainability), and Asper.ai (revenue growth). The company differentiates itself with a broad, enterprise-focused product portfolio and a global delivery footprint of 4,000+ employees across 16 locations, plus industry analyst recognition and workplace awards. Its goal is to power every human decision in the enterprise by bringing AI, engineering, and design together to help leading companies make better decisions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2000

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