Industry/Sector

Specialism

Management Level

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

• sign, KPI framework definition, model operationalization, and integration with TPM/ERP systems. 

• Establish analytical standards, reusable model components, and governance controls (lineage, auditability, explainability) across data science workstreams. 

• 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

Job Posting End Date