TPM + RGM Data Scientist-Senior Associate-Bangalore

• Drive AI/ML use case identification, feasibility scoping, and delivery for commercial analytics contexts including promotional ROI prediction, demand sensing, and fund effectiveness scoring.

• Ensure analytical outputs are accurate, defensible, and translated into actionable commercial recommendations for client leadership.

Client Engagement & Advisory

• Engage directly with senior client stakeholders—CDO, VP Finance, Trade Marketing, Sales Ops—to present analytical findings, explain model assumptions, and align on commercial implications.

• Shape and co-develop the client's RGM analytical roadmap: from baseline trade spend analytics through advanced optimization and AI-assisted decision support.

• Advise on organizational design for analytics-enabled NRM functions: KPI ownership, insight cadences, and decision governance.

• Contribute to business development through PoV development, proposal inputs, and RFP response support for RGM/TPM analytics pursuits.

Data Engineering & Platform Oversight

• Oversee construction of analytical data pipelines from SAP, Salesforce, and other enterprise systems to consumption layers.

• Govern data quality controls: profiling, cleansing, hierarchy reconciliation (customer/product master, UoM, time-series), and reconciliation against source systems.

• Establish and enforce standards for data model documentation, pipeline governance, and version control across analytical workstreams.

• Collaborate with client data engineering and IT teams on platform integration, access controls, and analytical environment management.

Team Leadership & Talent Development

• Lead and mentor a team of Senior Associates, Associates, and Analysts; enforce analytical rigor, delivery discipline, and documentation standards.

• Provide effort estimation, planning inputs, and WBS/story sizing for analytics and data science workstreams.

• Act as primary technical escalation point for modeling, data, and platform challenges.

• Support recruitment, onboarding, and capability building for the PPRM analytics talent pool.

Candidates should demonstrate 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).

• Revenue Growth Management: 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.

• Data Science & Machine Learning: Strong applied ML background in commercial contexts—forecasting, segmentation, elasticity, anomaly detection, causal inference for promotional uplift.

• Analytics Platform Architecture: Experience designing and governing analytical environments integrating TPM/ERP data sources with consumption layers (BI, ML pipelines, dashboards).

• AI-Enabled Commercial Analytics: Track record of operationalizing AI/ML outputs in RGM/TPM contexts with appropriate governance, explainability, and auditability.
• Candidates should be able to demonstrate extensive management consulting and data science leadership abilities that include the following:Data Science & Quantitative Modeling

• 8–11 years of total experience, with 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.

• TPM / RGM Domain Expertise

• 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.

• Data Engineering & Platforms

• 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).

• Analytics Visualization & Insight Communication

• 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).

• Delivery & Project Leadership

• 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 Requirements: Travel to client locations may be required as per project requirements.

• Experience: 9–11 years of prior relevant work experience with at least 4–5 years in RGM/TPM analytics or data science leadership roles. Prior management consulting experience and exposure to multinational CPG clients will be a strong advantage.

What You Must Have

- At least a Bachelor's degree
- At least 9 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- 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

Travel Requirements

Not Specified

Job Posting End Date