Engagement Manager-CPG and Retail Consulting

The Math Company  or Math Co® is a global Enterprise AI and Analytics company trusted for data‑driven decision‑making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, Math Co builds custom AI and advanced analytics solutions focused on enterprise problem‑solving through its innovative hybrid model. Nucli

OS, Math Co’s proprietary platform with pre‑built workflows and reusable plug‑and‑play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making Math Co a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.

We are seeking a highly analytical, business‑oriented, and client‑facing Senior Associate / Engagement Manager with experience in CPG retail execution, field sales analytics, product management, data science, and advanced analytics. The ideal candidate will bring strong domain understanding of retail execution in a CPG context, including Perfect Store, route‑to‑market, field sales efficiency, store‑level execution, and commercial performance improvement.

This role will support a strategic engagement with CPG clients and will require close collaboration with client stakeholders, product teams, data science teams, analytics teams, and engineering teams to translate business priorities into scalable, insight‑driven solutions.

• Understand key retail execution and field sales priorities in a CPG environment, including Perfect Store, route‑to‑market, sales force effectiveness, field sales productivity, and store‑level execution.
• Partner with client stakeholders to identify opportunities to improve commercial performance, in‑store execution, field efficiency, and decision‑making.
• Translate business problems related to field sales and retail execution into structured analytics use cases and product requirements.
• Apply CPG and retail knowledge to ensure analytics outputs are practical, business‑relevant, and adoption‑oriented.
• Support product management activities across analytics and data science initiatives, including requirement gathering, roadmap support, prioritization, user stories, and stakeholder alignment.
• Work closely with data science, analytics, and engineering teams to shape solution design, analytical outputs, dashboards, models, and product features.
• Bridge the gap between business stakeholders and technical delivery teams by translating business needs into clear data, analytics, and product requirements.
• Help define success metrics, KPIs, and value‑tracking frameworks for analytics solutions.

• Partner with technical teams to support the delivery of data science and analytics solutions that improve business performance and operational efficiency.
• Contribute to hypothesis generation, insight development, KPI design, and analytics‑driven recommendations.
• Support the development of dashboards, scorecards, analytical products, and decision‑support tools for commercial and field sales users.
• Ensure analytical outputs are actionable, clearly communicated, and aligned to client priorities.

• Serve as a trusted partner to CPG stakeholders by understanding business needs, managing ambiguity, and driving structured problem solving.
• Communicate insights, solution progress, risks, tradeoffs, and recommendations clearly to both business and technical audiences.
• Facilitate discussions, alignment sessions, and working meetings across client teams and Math Co delivery teams.
• Build strong working relationships with client stakeholders and internal teams to ensure successful delivery and adoption.

• Support day‑to‑day engagement management, including planning, prioritization, stakeholder coordination, issue resolution, and delivery governance.
• Track progress against business goals, KPIs, and project milestones.
• Help ensure solutions are delivered on time, are aligned to client expectations, and drive measurable business value.
• Identify…