Engagement Manager - CPG + Retail

About the Role

We are seeking a highly experienced Engagement Manager – CPG + Retail with strong client-facing experience in AI, Data & Analytics consulting to support strategic growth initiatives across the Consumer Packaged Goods (CPG) and Retail sectors. This is a senior individual contributor role focused on client advisory, technical sales support, AI/analytics consulting, solution shaping, executive stakeholder engagement, and pre-sales/delivery collaboration.

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, analytics, and engineering solutions.
  • Shape proposals, Statements of Work (SOWs), and strategic transformation roadmaps.
  • Support large deal pursuits, RFP responses, and client presentations.
• AI, Data & Analytics Consulting:
  • Advise clients on modern AI/ML, Generative AI, data engineering, cloud, and analytics architectures.
  • Apply enterprise AI expertise to CPG and Retail business challenges.
  • Provide practical guidance on operationalizing AI at scale.
  • Bring experience across areas such as:
    • Revenue Growth Management (RGM)
    • Demand Forecasting
    • Supply Chain Analytics
    • Retail Execution
    • Customer Analytics
    • Marketing Effectiveness
    • Pricing & Promotions
    • Personalization
    • Trade Promotion Optimization
• 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.
  • Independently lead conversations with senior business and technology stakeholders.
• Cross-Functional Collaboration:
  • Work closely with consulting, engineering, data science, and delivery teams globally.
  • Bridge business strategy with technical execution.
  • Mentor junior teams during pursuits and advisory engagements.

Qualifications

• 10+ years of experience in enterprise AI/Data consulting, technical pre-sales, analytics consulting, solution architecture, or client-facing engineering leadership.
• Direct experience serving enterprise CPG and/or Retail clients is mandatory.
• Hands-on practitioner experience in the CPG/Retail domain is mandatory; exposure alone is not sufficient.
• Proven experience leading:
  • Discovery workshops
  • Executive discussions
  • Solutioning sessions
  • RFP responses
  • Proposal/SOW development
  • Strategic transformation initiatives
• Demonstrated credibility with CIO, CDO, CTO, Data & Analytics, Digital, and business leadership.
• Ability to independently lead client conversations.
• Strong storytelling, executive presentation, and business-translation skills.
• Strong commercial acumen and solution-oriented mindset.
• Comfortable working in fast-paced and ambiguous environments.

Technical Expertise

• Strong working knowledge across:
  • Generative AI & LLM ecosystems
  • Machine Learning & Advanced Analytics
  • Data Engineering & Modern Data Platforms
  • Cloud ecosystems — AWS, Azure, and/or GCP
  • MLOps / AI Ops
  • Enterprise Architecture
  • Scalable AI deployment
  • BI & Visualization
  • Data Governance
  • Enterprise Data Strategy

Location: New York, NY
Work Model: Hybrid | Downtown Manhattan office presence preferred
Employment Type: Full-Time