Customer Success Lead

Fractal Analytics•New York, NY

About The Position

About Asper.ai Asper.ai, a Fractal company, is an AI-driven Revenue Growth Management (RGM) platform designed for Consumer Packaged Goods (CPG) and Retail industries. We help global enterprises transform their commercial decision-making through advanced analytics, automation, and data science. We are looking for a Lead/Principal, RGM Customer Success to lead the successful delivery and adoption of Asper.ai’s RGM solutions. These solutions span Pricing & Pack Architecture (PPA), Trade Promotion Optimization (TPO), Price/Volume/Mix analysis, and Trade Terms Management. The role involves acting as a trusted advisor to clients, driving best-in-class RGM execution, providing functional thought leadership, and partnering cross-functionally to shape the product roadmap.

Requirements

7+ years of experience in Customer Success or Consulting within the CPG RGM analytics.
Functional expertise/experience in Pricing, Trade Promotions, Pack Architecture, and Commercial Planning.
Proven experience leading client delivery for SaaS-based analytics or AI-driven solutions or Analytics Engagement
Demonstrated ability to engage and influence senior stakeholders (VP/C-level) and lead strategic discussions.
Strong analytical, problem-solving, and data-driven decision-making skills.
Ability to translate client needs into actionable product development inputs and influence roadmap priorities
Sufficient proficiency in Data Science frameworks to drive the first level of discussion with the client stakeholders

Responsibilities

Lead end-to-end client implementation, adoption, and value generation for Asper.ai’s RGM platform.
Partner with CPG clients to define, design, and implement best-in-class RGM strategies.
Collaborate closely with Asper’s Product, Data Science, Engineering, Sales, and Marketing teams to ensure alignment on client needs and solution delivery.
Drive Delivery and User Adoption across client engagements.
Advise CPG clients on framing the problem statement and the preferred way to solve it to generate meaningful value