Partner - CPG

Overview

We are seeking a seasoned, business-savvy Partner to lead client engagements and industry growth initiatives within the CPG sectors. This role blends consulting leadership, commercial ownership, and deep vertical expertise to help top global companies unlock value from their data through AI and analytics.

As a Partner in Customer Success, you will:

• Serve as the executive sponsor and strategic thought partner for pharma and life sciences clients.
• Lead cross-functional teams in conceptualizing, designing, and delivering enterprise-grade analytics and AI solutions across R&D, commercial, and supply chain functions.
• Own the growth agenda for your vertical: from developing relationships and shaping solution narratives to overseeing delivery quality and driving measurable outcomes.
• Operate as a trusted advisor, blending your domain knowledge with technical fluency to translate business problems into scalable solutions.
• Partner closely with global delivery teams (primarily based in India) and maintain a strong client presence onsite to ensure engagement success.

• Build and expand C-level relationships with global CPG clients.
• Identify whitespace opportunities across functions.
• Shape and lead strategic engagements, ensuring business impact and client satisfaction.
• Drive account growth and new business development, including solutioning and proposal ownership.
• Lead high-performing teams, coaching them on life sciences domain nuances and client-centric consulting practices. Contribute to internal IP development, pharma industry strategy, and leadership enablement within Math Co.

• 15+ years of experience in analytics, consulting, or strategy roles with a focus on CPG / Retail.
• Proven ability to build trust with business and IT leaders alike; comfortable engaging C-suite stakeholders and scientific leadership.
• Strong understanding of AI/ML, data platforms, cloud ecosystems, and the application of these technologies in regulated environments.
• Track record of building and scaling accounts, including revenue ownership, solution development, and delivery oversight.
• Ability to collaborate with cross-functional stakeholders (Engineering, Data Science, Product, and Business teams) to define data solutions aligned with business needs.