Customer Success Consultant

Department Icon Data Science Analytics & Machine Learning
Posted: 4 months ago
5-8 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 4 months ago
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Job Description

Customer Success – Solutions

Location: Bengaluru

Type: Full-Time

About Asper.ai

Asper.ai is an AI-powered SaaS company focused on transforming enterprise decision-making through Demand Planning and Revenue Growth Management (RGM) solutions for the Consumer Packaged Goods (CPG) industry.

As a Customer Success – Solutions professional, you will serve as a trusted advisor to enterprise clients, driving successful product implementations, enabling adoption, delivering business value, and shaping product evolution through customer insights. This role requires a blend of strategic thinking, functional RGM expertise, technical understanding, and strong stakeholder management.

Key Responsibilities

Product Implementation

  • Lead end-to-end customer implementations of Asper.ai solutions.
  • Understand customer workflows, data structures, and business decision-making processes.
  • Translate business requirements into product configurations, data mappings, and workflows.
  • Partner closely with Product, Engineering, and Data Science teams to ensure successful delivery and alignment with customer objectives.

Customer Success & Adoption

  • Act as the primary business liaison for customer engagements.
  • Drive product adoption and value realization across customer organizations.
  • Conduct workshops, training sessions, and executive reviews.
  • Prepare business updates, insights, and milestone presentations for senior stakeholders.

Insights & Business Value Creation

  • Review analytical outputs and model recommendations with Data Science teams.
  • Support customers in scenario planning, business case development, and value quantification.
  • Translate complex analyses into actionable business recommendations and compelling narratives.

Qualifications

Education

  • Bachelors degree in Engineering, Computer Science, Information Technology, or a related field (mandatory).
  • MBA or Masters degree in Management is preferred.

Experience

  • 5–8 years of relevant experience in Customer Success, Consulting, Analytics, RGM, or related domains.

Skills & Expertise

Client Management

  • Strong stakeholder management and consulting skills.
  • Ability to convert customer needs into actionable product enhancements and roadmap inputs.
  • Experience conducting client workshops, trainings, and executive presentations.

Revenue Growth Management (RGM)

  • Deep understanding of key RGM levers, including Pricing, Promotions, Pack-Price Architecture (PPA), Mix Optimization, and Trade Investments.
  • Ability to apply RGM concepts to solve real business challenges.

Analytical & Problem-Solving Skills

  • Strong analytical, strategic thinking, and storytelling capabilities.
  • Ability to structure ambiguous business problems and develop practical solutions.

Communication & Collaboration

  • Excellent verbal and written communication skills.
  • Ability to simplify complex data, models, and insights for business stakeholders.
  • Experience working across cross-functional teams to deliver business outcomes.

Technical & AI Competencies

  • Strong understanding of pricing and promotion analytics.
  • Familiarity with data models, APIs, integrations, and structured data environments.
  • Knowledge of POS, Finance, Promotion Calendar, and Retail/CPG datasets.

What We Look For

  • High ownership mindset and self-driven approach.
  • Strong problem-solving abilities and adaptability in a fast-paced environment.
  • Passion for innovation, AI, and data-driven decision-making.
  • Ability to build trusted relationships with customers and deliver measurable business impact.

Skills

Data ScienceImplementationAnalyticsAi

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About Company

Aspera Insurance Services is a managing general agency (MGA) specializing in property and casualty insurance solutions for hard-to-place, unusual, or excess risks.

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