Engagement Manager - CPG + Retail

InfiReex; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

InfiReex is seeking a highly experienced, client-facing AI/Data consulting senior professional in New York to drive strategic growth with enterprise CPG and Retail clients.

You will lead discovery workshops, shape AI/analytics solutions, and engage executive stakeholders while collaborating with global delivery teams to bridge strategy and execution.

Qualifications

• 10+ years in Enterprise AI/Data Consulting or related leadership.
• Experience serving enterprise CPG and/or Retail clients.
• Strong executive communication and storytelling skills.
• Gen AI/LLMs, ML, analytics, data engineering, cloud platforms.
• MLOps/AIOps, enterprise architecture, and scalable AI deployment.
• BI/Visualization, data governance and enterprise data strategy.

Responsibilities

• Partner with sales to drive AI 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, SOWs, transformation roadmaps, RFPs and large deal pursuits.
• Advise clients on Generative AI/LLMs, ML, advanced analytics, data platforms, cloud and deployment.
• Support Revenue Growth Management, demand forecasting, supply chain analytics and pricing.
• Provide practical guidance on operationalizing AI at scale.
• Build credibility with CIO/CTO/CDO and leadership teams; mentor juniors.

Skills

Enterprise AI

Pre-Sales

Solution Architecture

CPG & Retail

Generative AI

Cloud Platforms

MLOps/AIOps

Executive Engagement

Data Analytics

Data Governance

Job description

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.