Manager - RGM

Tredence Inc.; Bengaluru; Vor Ort; INR 1.200.000 - 2.000.000; Vollzeit

Zusammenfassung

A leading analytics firm is seeking an experienced RGM SME to serve as a key link between commercial teams and data science. The ideal candidate will leverage 7–10 years of experience in RGM or related fields to drive analytical tools adoption, lead workshops, and ensure actionable insights in business contexts. Key responsibilities include designing pricing strategies and validating model outputs. This role demands expertise in data visualization tools and the ability to engage with senior stakeholders, making it perfect for candidates aiming to influence commercial decision-making.

Qualifikationen

• 7–10 years as an RGM Analyst, Category Analyst, Trade Marketing Manager, or equivalent in CPG or Retail.
• Deep understanding of pricing strategy and trade promotion management.
• Experience analyzing sell-out/POS data and translating insights into recommendations.

Aufgaben

• Lead business requirement gathering and translate commercial questions into analytical briefs.
• Facilitate workshops with senior commercial leaders to validate model assumptions.
• Drive adoption of pricing and promotion tools across category and trade teams.

Kenntnisse

Revenue Growth Management

Data visualization tools (Power BI, Tableau, Looker)

SQL

Stakeholder management

Agile/Scrum environments

Ausbildung

Bachelor's or master’s in business, Economics, Marketing, or related field

Tools

Nielsen

IRI/Circana

Jobbeschreibung

Serve as the authoritative translation layer between the client's commercial organization (Category Managers, RGM Directors, Trade Marketing) and the data science and engineering teams. Ensure that models and analytical output reflect actual business decision processes and that findings are actionable within the client's operational context. This role is the commercial conscience of the engagement — you define what 'good' looks like from an RGM perspective.

The RGM SME is expected to lead client-facing workshops, challenge modelling assumptions from a commercial angle, and drive adoption of analytical tools across markets.

Key Responsibilities

• Lead business requirement gathering and translate commercial questions into analytical briefs for data science teams
• Own the RGM framework design — pricing architecture, trade promotion guardrails, pack-price strategy — in collaboration with client stakeholders
• Facilitate workshops with senior commercial leaders to validate model assumptions and outputs
• Review elasticity and uplift model outputs for commercial sensibility and flag anomalies
• Drive adoption of pricing and promotion tools across category and trade teams
• Serve as the go-to RGM knowledge resource for internal delivery teams across markets
• Contribute to the development of the Augmented Value Cockpit by defining KPI hierarchies and dashboard logic

Qualifications — Required

• Bachelor's or master’s in business, Economics, Marketing, or related field
• 7–10 years as an RGM Analyst, Category Analyst, Trade Marketing Manager, or equivalent in CPG or Retail
• Deep, hands-on understanding of Revenue Growth Management: pricing strategy, trade promotion management, pack-price architecture, and category management
• Experience analyzing sell-out/POS data (Nielsen, IRI/Circana, or direct retailer feeds) and translating insights into commercial recommendations
• Demonstrated ability to manage senior stakeholders and influence commercial decision-making
• Proficient in data visualization tools (Power BI, Tableau, or Looker) and comfortable with SQL for ad hoc analysis
• Experience working in Agile/Scrum delivery environments

Qualifications — Preferred

• Deep CPG industry background, ideally across multiple categories (FMCG, beverages, personal care, or similar)
• Multi-market or multi-geography experience, especially in emerging or high-complexity retail environments
• Exposure to revenue management tooling platforms (e.g. Pricing Solutions, Blue Yonder, or custom RGM tools)
• Familiarity with data science outputs — ability to read and critique elasticity model outputs, scenario simulations, and lift tables