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Strong PwC brand and Bangalore metro, but niche RGM/TPM specialization reduces broad applicant density.
Role's deep RGM/TPM and CPG consulting focus makes skills less transferable across industries.
Explicit 9+ years, mandatory RGM/TPM domain expertise and technical stack requirements create high filter strictness.
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Lead design and governance of data science models for trade promotion optimization, price elasticity, segmentation, and anomaly detection in Pricing, Promotions & Revenue Management (RGM).
Own solution architecture for RGM analytics environments including data models, KPI frameworks, model operationalization, and integration with TPM/ERP systems.
Manage client engagements, mentor teams, deliver actionable insights to senior stakeholders, and drive AI/ML use case development in commercial analytics contexts.
9+ years total work experience with at least 4-5 years in RGM/TPM analytics or data science leadership roles.
Bachelor's degree required.
Proficiency in Python and/or R for model development and validation; advanced SQL skills for data extraction and transformation.
Experience with TPM/RGM platforms (e.g., Salesforce Consumer Goods Cloud, SAP TPM) and analytics platform architecture integrating ERP/CRM sources.
Experienced in managing analytics workstreams and consulting engagements within Consumer Goods, Retail, or CPG sectors focused on RGM/TPM.
Skilled in leading teams through complex data science model development and operationalization with strong governance and stakeholder communication.
Familiar with Agile/Scrum methodologies, enterprise data environments (Databricks, Snowflake, Azure Synapse), and analytical visualization tools (Power BI, Tableau).