Engagement Manager - CPG + Retail

Engagement Manager – CPG + Retail

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

Position Overview

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.

The ideal candidate combines strong technical depth across AI, data engineering, analytics, and enterprise transformation with strong commercial acumen and the ability to independently engage senior enterprise stakeholders.

Key ResponsibilitiesClient Advisory & Technical Sales

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  Partner with sales and account leadership teams to drive strategic AI and analytics conversations with enterprise CPG/Retail clients.

  
  


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  Lead discovery workshops, executive discussions, and solutioning sessions.

  
  


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  Translate business priorities into scalable AI, data, analytics, and engineering solutions.

  
  


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  Shape proposals, Statements of Work (SOWs), and strategic transformation roadmaps.

  
  


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  Support large deal pursuits, RFP responses, and client presentations.

  
  

AI, Data & Analytics Consulting

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  Advise clients on modern AI/ML, Generative AI, data engineering, cloud, and analytics architectures.

  
  


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  Apply enterprise AI expertise to CPG and Retail business challenges.

  
  


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  Provide practical guidance on operationalizing AI at scale.

  
  


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  Bring experience across areas such as:

  
  
  
  
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    Revenue Growth Management (RGM)

    
    
  
  
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    Demand Forecasting

    
    
  
  
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    Supply Chain Analytics

    
    
  
  
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    Retail Execution

    
    
  
  
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    Customer Analytics

    
    
  
  
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    Marketing Effectiveness

    
    
  
  
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    Pricing & Promotions

    
    
  
  
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    Personalization

    
    
  
  
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    Trade Promotion Optimization

    
    
  
  
  
  

Executive Stakeholder Management

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  Build credibility with CIO, CDO, CTO, Data & Analytics, Digital, and business leadership teams.

  
  


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  Act as a trusted strategic advisor during complex client engagements.

  
  


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  Navigate cross-functional enterprise environments with strong executive presence.

  
  


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  Independently lead conversations with senior business and technology stakeholders.

  
  

Cross-Functional Collaboration

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  Work closely with consulting, engineering, data science, and delivery teams globally.

  
  


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  Bridge business strategy with technical execution.

  
  


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  Mentor junior teams during pursuits and advisory engagements.

  
  

Required Qualifications

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  10+ years of experience in enterprise AI/Data consulting, technical pre-sales, analytics consulting, solution architecture, or client-facing engineering leadership.

  
  


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  Direct experience serving enterprise CPG and/or Retail clients is mandatory.

  
  


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  Hands-on practitioner experience in the CPG/Retail domain is mandatory; exposure alone is not sufficient.

  
  


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  Proven experience leading:

  
  
  
  
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    Discovery workshops

    
    
  
  
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    Executive discussions

    
    
  
  
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    Solutioning sessions

    
    
  
  
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    RFP responses

    
    
  
  
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    Proposal/SOW development

    
    
  
  
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    Strategic transformation initiatives

    
    
  
  
  
  


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  Demonstrated credibility with CIO, CDO, CTO, Data & Analytics, Digital, and business leadership.

  
  


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  Ability to independently lead client conversations.

  
  


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  Strong storytelling, executive presentation, and business-translation skills.

  
  


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  Strong commercial acumen and solution-oriented mindset.

  
  


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  Comfortable working in fast-paced and ambiguous environments.

  
  

Technical Expertise

Strong working knowledge across:

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  Generative AI & LLM ecosystems

  
  


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  Machine Learning & Advanced Analytics

  
  


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  Data Engineering & Modern Data Platforms

  
  


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  Cloud ecosystems — AWS, Azure, and/or GCP

  
  


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  MLOps / AI Ops

  
  


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  Enterprise Architecture

  
  


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  Scalable AI deployment

  
  


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  BI & Visualization

  
  


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  Data Governance

  
  


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  Enterprise Data Strateg