Engagement Manager - CPG + Retail (New York, NY)

About the role

Our Client is seeking an experienced Engagement Manager – CPG & Retail 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 and analytics consulting, solution shaping, executive stakeholder engagement, and pre-sales and delivery collaboration. The ideal candidate will combine strong technical depth across AI, data engineering, analytics, cloud, and enterprise transformation with strong commercial and consulting capabilities. This individual will work directly with enterprise clients, including senior business and technology stakeholders, and will serve as a trusted advisor in shaping AI and data-driven transformation initiatives. This role is highly client-facing and is best suited for a professional who can operate autonomously, navigate ambiguity, engage executive stakeholders, and bridge business strategy with hands-on technical execution.

Responsibilities

• Client Advisory & Technical Sales
  • Partner with sales and account leadership teams to drive strategic AI, data, and analytics conversations with enterprise CPG and Retail clients.
  • Lead discovery workshops, executive discussions, and solutioning sessions.
  • Translate business priorities and challenges into scalable AI, data, analytics, and engineering solutions.
  • Shape proposals, statements of work, and strategic transformation roadmaps.
  • Support large deal pursuits, RFP responses, client presentations, and other pre-sales activities.
  • Develop trusted relationships with senior business and technology stakeholders.
• AI, Data & Analytics Consulting
  • Advise enterprise clients on modern AI/ML, Generative AI, data engineering, cloud, analytics, and enterprise architecture.
  • Provide strategic guidance on AI and analytics use cases across CPG and Retail environments, including:
    • Revenue Growth Management (RGM)
    • Demand forecasting
    • Supply chain analytics
    • Retail execution
    • Customer analytics
    • Marketing effectiveness
    • Pricing and promotions
    • Personalization
    • Trade promotion optimization
  • Provide practical guidance on operationalizing AI and analytics solutions at enterprise scale.
  • Help clients evaluate technology, data, and operating-model requirements for AI-driven transformation.
• Executive Stakeholder Management
  • Build credibility and strong relationships with CIO, CDO, CTO, Data & Analytics, Digital, and Business leadership teams.
  • Act as a trusted strategic advisor during complex client engagements.
  • Lead executive-level conversations involving business strategy, technology transformation, AI, data, and analytics.
  • Navigate complex, cross-functional enterprise environments with strong executive presence.
• Cross-Functional Collaboration
  • Work closely with consulting, engineering, data science, and delivery teams to translate client requirements into executable solutions.
  • Bridge business strategy with technical execution.
  • Collaborate with global teams across solution development, pre-sales, and delivery initiatives.
  • Mentor junior team members when needed during strategic pursuits and advisory engagements.
• Business Development & Growth
  • Identify opportunities to expand existing client relationships and support new business development.
  • Contribute to strategic account planning and enterprise transformation pursuits.
  • Support development of innovative AI, analytics, and data-driven solutions aligned with client business objectives.
  • Stay informed about industry trends, emerging technologies, competitive activity, and evolving CPG/Retail business priorities.

Required Qualifications

• Minimum of 10 years of professional experience in one or more of the following areas:
  • Enterprise AI/Data consulting
  • Technical pre-sales
  • Analytics consulting
  • Solution architecture
  • Client-facing engineering leadership
  • Digital or technology transformation
• Strong experience serving enterprise CPG and/or Retail clients.
• Hands-on practitioner experience within the relevant domain is required.
• Strong technical understanding of AI, data, analytics, cloud, and enterprise technology environments.
• Demonstrated ability to independently lead client conversations and executive-level engagements.
• Proven experience supporting enterprise transformation initiatives, strategic pursuits, proposals, and pre-sales activities.
• Strong commercial acumen and ability to connect technical solutions with measurable business outcomes.
• Excellent communication, presentation, storytelling, negotiation, and relationship-building skills.
• Ability to operate independently in fast-paced and ambiguous environments.
• Willingness and ability to work in a client-facing environment with travel based on business requirements.

Technical Expertise

Strong working knowledge across several of the following areas:

• Generative AI and Large Language Model (LLM) ecosystems
• Machine Learning and Advanced Analytics
• Data Engineering and Modern Data Platforms
• Cloud ecosystems, including AWS, Azure, and GCP
• MLOps / AI Ops
• Enterprise architecture and scalable AI deployment
• Business Intelligence and data visualization ecosystems
• Data governance
• Enterprise data strategy
• AI and digital transformation

Preferred Qualifications

• Experience working with Fortune 500 organizations.
• Experience with top-tier consulting firms, enterprise AI companies, analytics organizations, hyperscalers, or digital transformation companies.
• Existing relationships within CPG and/or Retail ecosystems.
• Experience supporting large enterprise transformation pursuits.
• Strong understanding of enterprise operating models and digital transformation.
• Experience working directly with senior business and technology executives.
• Based in the New York / Tri-State area preferred.
• Familiarity with hybrid client engagement and travel models.

Compensation

The compensation range for this role takes into account a wide range of factors considered when making compensation decisions, including skill sets, experience and training, certifications, and other business and organizational requirements. A reasonable estimate of the current base salary range for this position is $150,000 – $180,000 per year, with eligibility for a discretionary bonus based on applicable company policies and performance. Compensation decisions are made based on the specific qualifications, experience, skills, and business requirements applicable to each candidate.

Benefits

Eligible full-time employees and qualifying employees working more than 30 hours per week may participate in company-sponsored benefit programs in accordance with applicable plan documents and company policies.

• Medical, dental, and vision insurance
• Life insurance
• Disability insurance
• 401(k) retirement plan
• 11 paid holidays
• 12 weeks of parental leave
• Flexible paid time off policy

Eligibility, coverage, and applicable waiting periods are subject to the company's plan documents and policies.