TPM + RGM Data Scientist - Manager-Bangalore
On-siteBengaluru, Karnataka, India
Job Summary
Lead the design, development, and governance of data science models for trade promotion optimization, baseline forecasting, price elasticity, and anomaly detection. Own solution architecture for RGM analytics environments, including data model design, KPI framework definition, and integration with TPM/ERP systems. Establish analytical standards, reusable model components, and governance controls across workstreams while driving AI/ML use cases for commercial analytics. Engage directly with senior client stakeholders to present findings, explain model assumptions, and co-develop the client's RGM analytical roadmap. Advise on organizational design for analytics-enabled functions and contribute to business development through proposal inputs. Oversee construction of analytical data pipelines from SAP and Salesforce, governing data quality and platform integration. Lead and mentor a team of Senior Associates, Associates, and Analysts, providing effort estimation, planning inputs, and acting as the primary technical escalation point.
Required Qualifications
- At least a Bachelor's degree
- At least 9 years of experience
- Oral and written proficiency in English
- 8–11 years of total experience
- At least 4–5 years in data science, advanced analytics, or quantitative modeling roles in commercial/RGM/TPM contexts
- Advanced proficiency in Python (pandas, scikit-learn, statsmodels, XGBoost, Prophet, or similar) and/or R for model development, validation, and productionization
- Experience designing and delivering trade promotion ROI models, baseline volume forecasting, promotional uplift attribution, price elasticity estimation, and customer segmentation models at enterprise scale
- Strong model governance capabilities: documentation, version control, sensitivity analysis, performance monitoring, and stakeholder-facing explainability
- Ability to lead technical design reviews and make defensible modeling choices in client-facing settings
- Demonstrated leadership on RGM analytics engagements for Consumer Goods, Retail, or CPG clients, from scoping through delivery
- Deep familiarity with T/S ratio construction, net revenue waterfall architecture, and trade fund effectiveness frameworks
- Experience advising on target-setting methodology, promotional calendar planning, and post-event reconciliation processes
- Hands-on exposure to at least one TPM/RGM platform (Salesforce Consumer Goods Cloud, SAP TPM, Anaplan, o9) from a data and analytics integration perspective
- Advanced SQL capability for complex data extraction, transformation, aggregation, and validation across heterogeneous enterprise data sources
- Experience architecting and governing data pipelines from SAP, Salesforce, and other ERP/CRM sources to analytical consumption layers
- Familiarity with cloud data platforms: Databricks, Snowflake, Azure Synapse, BigQuery, or equivalent
- Experience with CI/CD practices for analytical assets; version control (Git); and structured environment promotion (Dev/Test/UAT/Prod)
- Advanced proficiency in Power BI, Tableau, or equivalent for KPI dashboard design and insight packaging
- Ability to structure and deliver executive-level analytical narratives: from data to insight to commercial recommendation
- Experience building analytical operating models and cadences for client RGM functions (weekly/monthly review decks, exception reports, scenario outputs)
- Proven track record leading analytics workstreams or small teams (3–8 members) in management consulting engagements
- Agile/Scrum delivery experience including sprint planning, backlog management, defect triage, and release governance; tools such as Jira/Azure DevOps
- Strong risk identification, dependency management, and escalation discipline
- Travel to client locations may be required as per project requirements
Desired Qualifications
- Substantial experience and/or knowledge in any sector in the following areas: Trade Promotions Management: End-to-end TPM lifecycle fluency—Master Data, Funds Management, Volume Planning, Promotion Planning, Optimization, Accruals, Payments, Post Event Analytics, Reporting—with platform exposure (Salesforce CG Cloud, SAP TPM, or equivalent)
- Deep understanding of RGM frameworks: price-volume-mix, T/S ratio, net revenue waterfall, category and channel profitability, fund structure, and baseline vs. incremental volume methodology
- Strong applied ML background in commercial contexts—forecasting, segmentation, elasticity, anomaly detection, causal inference for promotional uplift
- Experience designing and governing analytical environments integrating TPM/ERP data sources with consumption layers (BI, ML pipelines, dashboards)
- Track record of operationalizing AI/ML outputs in RGM/TPM contexts with appropriate governance, explainability, and auditability
- Extensive management consulting and data science leadership abilities
- Prior management consulting experience and exposure to multinational CPG clients
- Excelling in customer strategy and value maximization
- Utilizing pricing software and strategic pricing models
- Demonstrating analytical thinking and market share analysis
- Embracing change and fostering business transformation
- Managing profitability and revenue maximization initiatives
- Leading project budgeting and promotional pricing efforts
- Engaging stakeholders through effective communication and feedback
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