Senior AI & Analytics Engagement Lead - CPG/Retail

Role Overview

We are seeking a highly experienced

Client-Facing Engagement Manager / Principal Consultant

to support strategic growth in the CPG-Retail sector.
This is a

senior individual contributor role focused on Technical Sales Support, AI/Analytics Consulting, and Client Advisory.

You will not be a pure delivery manager — you will partner with Sales and Account Leadership to drive strategic conversations, lead discovery, shape solutions, and win large enterprise transformation deals.
You will operate autonomously as a trusted advisor to CIO, CDO, CTO, and senior business leadership.
Key Responsibilities

A. Client Advisory & Technical Pre-Sales - 60%
Partner with sales and account teams to drive strategic AI and analytics pursuits with enterprise CPG/Retail clients
Independently lead discovery workshops, executive discussions, and solutioning sessions
Translate ambiguous business priorities into scalable AI, data, and engineering solutions
Shape proposals, Statements of Work (SOW), and multi-year transformation roadmaps
Support large deal pursuits, RFP responses, and executive presentations
B. AI, Data & Analytics Consulting - 30%
Advise clients on modern architectures: Generative AI & LLM ecosystems, Machine Learning, Data Engineering, Cloud, MLOps, BI
Bring strong point-of-view on enterprise CPG/Retail use cases, including:

Revenue Growth Management (RGM)
Demand Forecasting & Supply Chain Analytics
Retail Execution & Trade Promotion Optimization
Pricing & Promotions, Marketing Effectiveness
Customer Analytics & Personalization

Provide practical guidance on operationalizing and scaling AI
C. Executive Stakeholder & Cross-Functional Leadership - 10%
Build credibility with C-level and VP-level Data, Digital, and Business teams
Navigate complex, cross-functional enterprise environments
Collaborate closely with global consulting, data science, and engineering teams
Mentor junior teams during pursuits where needed
What We're Looking For - Ideal Candidate

Experience:
10+ years of experience in: Enterprise AI/Data Consulting, Technical Pre-Sales, Analytics Consulting, Solution Architecture, or Client-Facing Engineering Leadership
Mandatory:

Strong experience serving enterprise

CPG and/or Retail clients . Hands-on practitioner experience in the domain is a must.
Prior experience with top-tier consulting firms, enterprise AI companies, analytics firms, hyperscalers, or digital transformation organizations preferred
Existing relationships within CPG/Retail ecosystem is a strong plus
Technical Depth - Working knowledge required across:
Generative AI & LLM ecosystems, Machine Learning & Advanced Analytics
Data Engineering & Modern Data Platforms
Cloud Ecosystems (AWS, Azure, GCP)
MLOps / AIOps, Enterprise Architecture & Scalable AI Deployment
BI & Visualization Ecosystems
Data Governance & Enterprise Data Strategy
Consulting & Commercial Skills:
Exceptional communication and executive presentation skills with strong storytelling
Proven ability to independently lead client conversations in ambiguous situations
Strong commercial acumen and solution-oriented mindset
Operates autonomously, goes deep technically when required, balances strategic thinking with hands-on execution
Preferred:
Experience working with Fortune 500 clients
Experience supporting enterprise transformation pursuits ($500K+ / $1M+)
Understanding of enterprise operating models and digital transformation

J-18808-Ljbffr