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

AOB Recruitment•New York, NY

2d•Hybrid

About The Position

This is a senior individual-contributor role focused on AI and analytics consulting for strategic initiatives across the CPG and Retail sectors. The position combines client advisory, solution development, technical sales support, executive stakeholder engagement, and collaboration across pre-sales and delivery teams. The successful candidate will apply technical expertise in AI, data engineering, analytics, and enterprise transformation alongside strong business and consulting skills. They should be comfortable working autonomously, navigating ambiguity, engaging senior stakeholders, and translating complex business challenges into practical, scalable technology solutions. The role advises organizations on AI, analytics, data, and digital transformation opportunities, develops solution approaches and strategic roadmaps, and helps shape and deliver enterprise AI and analytics solutions. Relevant use cases include revenue growth management, demand forecasting, supply chain analytics, retail execution, customer analytics, marketing effectiveness, pricing and promotions, personalization, and trade promotion optimization. The position is based in the New York/Tri-State area, which is preferred, and follows a hybrid work model. Travel may be required based on business and project needs.

Requirements

Approximately 10+ years of professional experience in enterprise AI/data consulting, technical pre-sales, analytics consulting, solution architecture, or client-facing engineering leadership.
Strong experience working with enterprise CPG and/or Retail organizations.
Hands-on practitioner experience applying technology, data, and analytics to real-world business challenges.
Experience working directly with senior business and technology stakeholders.
Ability to operate independently in complex and ambiguous environments.
Experience translating business requirements into practical technical solutions.
Strong working knowledge of Generative AI and LLM ecosystems.
Strong working knowledge of Machine Learning and Advanced Analytics.
Strong working knowledge of data engineering and modern data platforms.
Strong working knowledge of cloud ecosystems, including AWS, Azure, and GCP.
Strong working knowledge of MLOps/AI Ops, enterprise architecture and scalable AI deployment, BI and data visualization, data governance, and enterprise data strategy.
Exceptional verbal and written communication skills.
Strong executive presentation and storytelling abilities, including the ability to explain complex technical concepts as clear business outcomes.
Strong commercial awareness and solution-oriented thinking.
Ability to independently lead stakeholder and customer conversations.
Strong analytical and problem-solving skills.
Comfort working in fast-paced and ambiguous environments and communicating effectively with executives, technical teams, and engineering teams.
Ability to balance strategic thinking with hands-on execution.
Ability to travel as required by business and project needs.

Nice To Haves

Experience working with Fortune 500 organizations.
Strong domain expertise in CPG and/or Retail.
Existing relationships within CPG/Retail ecosystems.
Experience supporting enterprise transformation initiatives.
Experience with large-scale AI or digital transformation programs.
Background in consulting, enterprise technology, AI, analytics, cloud, or digital transformation.
Strong understanding of enterprise operating models and digital transformation.

Responsibilities

Lead discovery workshops, executive discussions, and solutioning sessions.
Translate business priorities into scalable AI, data, and engineering solutions.
Advise organizations on AI, analytics, data, and digital transformation opportunities.
Develop solution approaches, proposals, and strategic transformation roadmaps.
Support RFP responses, presentations, and complex solution development initiatives.
Build trusted relationships with senior business and technology stakeholders.
Advise on modern AI/ML, Generative AI, data engineering, cloud, and analytics architectures.
Identify and develop AI and analytics solutions for complex business challenges.
Provide practical guidance on operationalizing AI at scale.
Engage with senior technology and business leaders, including CIO, CDO, CTO, Data & Analytics, Digital, and business stakeholders.
Act as a trusted advisor during complex transformation initiatives.
Communicate technical concepts and business implications clearly to executive audiences.
Collaborate with data scientists, engineers, architects, consultants, and delivery teams.
Bridge business strategy with technical execution and contribute to successful delivery of enterprise AI and analytics solutions.
Mentor and support junior team members where appropriate.
Operate autonomously, take ownership of complex initiatives, and drive measurable business value through AI, data, and analytics.