Job Description
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Engagement Manager - CPG + Retail Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Location: New York, NY ( Office presence in Downtown Manhattan preferred) Note: This position is not eligible for Immigration Sponsorship at this time. Job Description We are seeking highly experienced independent contributors with strong client-facing experience in AI, Data & Analytics consulting to support strategic growth initiatives across the CPG-Retail sector. This Is a Senior Individual Contributor Role Focused On Technical sales support AI/analytics consulting Client advisory Solution shaping Executive stakeholder engagement Pre-sales and delivery collaboration The ideal candidate combines strong technical depth across AI, data engineering, analytics, and enterprise transformation with commercial acumen. This role is best suited for professionals who thrive in ambiguity, can independently engage enterprise clients, and are comfortable operating as trusted advisors to senior business and technology stakeholders. Key Responsibilities Client Advisory & Technical Sales Partner with sales and account leadership teams to drive strategic AI and analytics conversations with enterprise CPG/Retail clients Lead discovery workshops, executive discussions, and solutioning sessions Translate business priorities into scalable AI, data, and engineering solutions Shape proposals, statements of work, and strategic transformation roadmaps Support large deal pursuits, RFP responses, and client presentations AI, Data & Analytics Consulting Advise clients on modern AI/ML, GenAI, data engineering, cloud, and analytics architectures Bring strong understanding of enterprise AI use cases across: Revenue Growth Management (RGM) Demand forecasting Supply chain analytics Retail execution Customer analytics Marketing effectiveness Pricing & promotions Personalization Trade promotion optimization Provide practical guidance on operationalizing AI at scale Executive Stakeholder Management Build credibility with CIO, CDO, CTO, Data & Analytics, Digital, and Business leadership teams Act as a trusted strategic advisor during complex client engagements Navigate cross-functional enterprise environments with strong executive presence Cross-functional Collaboration Work closely with Fractal’s consulting, engineering, data science, and delivery teams globally Help bridge business strategy with technical execution Mentor junior teams where needed during pursuits or advisory engagements Ideal Candidate Profile Required Experience: ~10+ years of experience in: Enterprise AI/Data consulting Technical pre-sales Analytics consulting Solution architecture Client-facing engineering leadership Strong experience serving enterprise CPG and/or Retail clients Prior experience with top-tier consulting firms, enterprise AI companies, analytics firms, hyperscalers, or digital transformation organizations preferred Technical Expertise Strong working knowledge across Generative AI & LLM ecosystems Machine Learning & Advanced Analytics Data Engineering & Modern Data Platforms Cloud ecosystems (AWS, Azure, GCP) MLOps / AI Ops Enterprise architecture and scalable AI deployment BI & visualization ecosystems Data governance and enterprise data strategy Con