Engagement Manager - CPG+Retail

Fractal Analytics•New York, NY

2d•$180,000•Hybrid

About The Position

Fractal is seeking a senior, client-facing individual contributor to support strategic AI and analytics growth initiatives with enterprise clients in the CPG and Retail sectors. The role combines technical sales support, AI and analytics consulting, client advisory, solution shaping, executive stakeholder engagement, and collaboration across pre-sales and delivery. The successful candidate will bring technical depth in AI, data engineering, analytics, and enterprise transformation alongside commercial acumen, and will be able to operate autonomously as a trusted advisor to senior business and technology stakeholders. The position is based in the New York/Tri-State area, with Downtown Manhattan office presence preferred. It follows a hybrid travel model depending on client needs and is not eligible for immigration sponsorship at this time. The role is full-time. Compensation is estimated at up to $180,000, with possible eligibility for a discretionary bonus. Full-time employees are eligible for health, dental, vision, life, and disability insurance beginning on their first day, and may participate in the 401(k) plan after 30 days. The company provides 11 paid holidays, 12 weeks of parental leave, and a “free time” PTO policy for sick time or vacation.

Requirements

Approximately 10 or more 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, cloud ecosystems (AWS, Azure, or GCP), MLOps/AI Ops, enterprise architecture and scalable AI deployment, BI and visualization ecosystems, and data governance and enterprise data strategy.
Exceptional communication and executive presentation skills, including the ability to tell compelling stories and translate business needs into technical solutions.
Ability to independently lead client conversations and operate autonomously.
Strong commercial acumen and a solution-oriented mindset.
Comfort working in fast-paced, ambiguous environments.
Hands-on practitioner experience in the domain.

Nice To Haves

Prior experience with top-tier consulting firms, enterprise AI companies, analytics firms, hyperscalers, or digital transformation organizations.
Experience working with Fortune 500 clients.
Existing relationships within CPG/Retail ecosystems.
Experience supporting enterprise transformation pursuits.
Strong understanding of enterprise operating models and digital transformation.
Based in the New York/Tri-State area; Downtown Manhattan office presence is preferred.

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, and solutioning sessions.
Translate business priorities into scalable AI, data, and engineering solutions.
Shape proposals, statements of work, and strategic transformation roadmaps.
Support large deal pursuits, RFP responses, and client presentations.
Advise clients on modern AI/ML, GenAI, data engineering, cloud, and analytics architectures.
Provide guidance on enterprise use cases including revenue growth management, demand forecasting, supply chain analytics, retail execution, customer analytics, marketing effectiveness, pricing and promotions, personalization, and trade promotion optimization.
Provide practical guidance on operationalizing AI 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 and navigate cross-functional enterprise environments.
Collaborate with Fractal’s consulting, engineering, data science, and delivery teams globally, bridging business strategy with technical execution.
Mentor junior teams when needed during pursuits or advisory engagements.