Engagement Manager - CPG + Retail

We are seeking a highly experienced, client-facing individual contributor with strong expertise in AI, Data & Analytics consulting to support strategic growth initiatives across the CPG and Retail sectors .

This senior role focuses on technical sales support, AI/analytics consulting, client advisory, solution shaping, executive stakeholder engagement, and pre-sales and delivery collaboration . The ideal candidate combines technical depth across AI, data engineering, analytics, cloud, and enterprise transformation with strong commercial acumen and the ability to operate independently as a trusted advisor to senior business and technology stakeholders.

Key Responsibilities

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

Lead discovery workshops, executive discussions, solutioning sessions, and client presentations.

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

Shape proposals, Statements of Work (SOWs), transformation roadmaps, RFP responses, and large deal pursuits.

Advise clients on Generative AI/LLMs, Machine Learning, Advanced Analytics, Data Engineering, Modern Data Platforms, Cloud, MLOps/AIOps, Enterprise Architecture, and scalable AI deployment .

Revenue Growth Management (RGM)

Demand forecasting

Supply chain analytics

Customer analytics

Pricing and promotions

Trade promotion optimization

Provide practical guidance on operationalizing AI and analytics at scale.

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

Act as a trusted strategic advisor during complex client engagements.

Collaborate with global consulting, engineering, data science, and delivery teams to bridge business strategy with technical execution.

Mentor junior teams when needed during pursuits and advisory engagements.

Required Experience & Qualifications

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

Strong experience serving enterprise CPG and/or Retail clients .

Strong working knowledge of:

Generative AI and LLM ecosystems

Machine Learning and Advanced Analytics

Data Engineering and Modern Data Platforms

AWS, Azure, and GCP

MLOps / AIOps

Enterprise Architecture and scalable AI deployment

BI and Visualization ecosystems

Data Governance and Enterprise Data Strategy

Exceptional communication, executive presentation, storytelling, and business translation skills.

Ability to independently lead client conversations and engage senior stakeholders.

Strong commercial acumen and solution-oriented mindset.

Comfortable working in fast-paced, ambiguous environments.

Preferred Background

Experience working with Fortune 500 clients.

Hands-on practitioner experience in the domain is required.

Existing relationships within the CPG/Retail ecosystem are a plus.

Experience supporting enterprise transformation pursuits.

Strong understanding of enterprise operating models and digital transformation.

Experience with top-tier consulting firms, enterprise AI companies, analytics firms, hyperscalers, or digital transformation organizations is preferred.

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