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Tier-1 employer and metro location increase applicant density, while seniority and niche RGM specialization limit it.
Role demands deep RGM/TPM CPG expertise, limiting easy cross-industry transferability.
Explicit 9+ years requirement, mandatory RGM/TPM domain experience, and technical governance skills make filters stringent.
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Own design, development, and operationalization of AI/ML models for Trade Promotion Management (TPM) and Revenue Growth Management (RGM) analytics, including KPI framework definition and ERP integrations.
Lead client engagements with senior stakeholders to present insights, co-develop analytical roadmaps, and advise on organizational analytics design.
Oversee data pipeline architecture from enterprise systems and lead a team of analysts and associates ensuring analytical rigor and delivery discipline.
Bachelor's degree required.
9+ years total work experience with 4–5 years specifically in RGM/TPM analytics or data science leadership roles.
Advanced proficiency in Python and/or R; strong SQL skills; experience with TPM/RGM platforms such as Salesforce Consumer Goods Cloud or SAP TPM.
Experience leading analytics workstreams or teams (3–8 members) in consulting or similar commercial analytics environments.
Experienced in end-to-end TPM lifecycle and deep understanding of RGM frameworks including promotional ROI, demand sensing, and fund effectiveness.
Strong management consulting background with multinational CPG or retail clients, capable of stakeholder engagement at senior levels (CDO, VP Finance).
Proven ability to architect and govern complex analytical platforms integrating TPM/ERP systems with BI/ML layers and enforce data/model governance standards.