Job Description

About the Role

n

We are looking for a seasoned Director – Data Science to help build and scale our next-generation Revenue Growth Management (RGM) practice, combining deep expertise in Data Science, advanced analytics, commercial decision-making, and large-scale program delivery.

n

The ideal candidate will have deep experience applying advanced analytics and data science across multiple RGM levers such as Pricing, Promotion, Assortment, and Trade Planning/Trade Investment Management, and will be responsible for driving enterprise-scale solutions for global clients across CPG, Retail, Healthcare & Life Sciences, and Travel & Hospitality.

n

The focus is on building decision intelligence platforms, scalable RGM solutions, AI-powered products, and commercial transformation programs within our existing Data Science leadership expectations while bringing strong domain depth.

n

Key Responsibilities

n

Revenue Growth Management & Data Science Leadership

n

· Lead end-to-end execution of advanced analytics, AI, and Data Science programs across multiple RGM domains:

n

o Pricing & Price Optimization

n

o Price Elasticity Modeling

n

o Trade Promotion Optimization (TPO)

n

o Assortment Optimization

n

o Trade Investment Effectiveness

n

o Revenue Planning & Forecasting

n

o Consumer & Commercial Analytics

n

· Design and implement enterprise-grade RGM solutions that integrate multiple commercial levers rather than isolated analytics engagements.

n

· Drive the development of scalable Decision Intelligence systems that support commercial decision-making.

n

· Apply advanced statistics, machine learning, optimization, forecasting, causal analytics, and AI techniques to solve complex revenue growth challenges.

n

· Establish best practices for model development, validation, deployment, and business adoption.

n

Solution Development & Innovation

n

· Build and scale enterprise RGM platforms and AI-powered commercial solutions.

n

· Drive adoption of GenAI and Agentic AI capabilities within commercial and RGM ecosystems.

n

· Develop reusable accelerators, frameworks, and solution assets across RGM domains.

n

· Partner with industry and practice leaders to create differentiated offerings for clients.

n

Client Advisory & Commercial Consulting

n





· Act as a trusted advisor to client stakeholders and executive leadership.

n

· Lead solution workshops, value discovery discussions, and transformation roadmaps.

n

· Translate business problems into analytics and AI-driven solutions.

n

· Communicate complex analytical insights and solution approaches to both technical and non-technical audiences.

n

Project & Program Leadership

n

· Oversee project delivery timelines, quality metrics, commercial outcomes, and delivery governance.

n

· Manage large-scale analytics and AI engagements across global clients.

n

· Act as the bridge between business stakeholders, domain experts, data scientists, and engineering teams.

n

· Identify and mitigate project risks while ensuring alignment with business objectives.

n

Practice Building & Pre-Sales

n

· Contribute to business development, solutioning, proposals, RFPs, and strategic pursuits.

n

· Support growth of the RGM practice through thought leadership and capability development.

n

· Build relationships across clients, industry leaders, and ecosystem partners.

n

· Drive innovation initiatives and contribute to the development of future-state RGM offerings.

n

Team Leadership

n

· Lead and mentor teams of data scientists, data engineers, consultants, and analysts.

n

· Foster a culture of innovation, collaboration, and continuous learning.

n

· Develop future leaders and strengthen organizational capabilities in RGM and Data Science.

n

________________________________________

n

Required Qualifications

n

· 15–20 years of overall experience with significant experience in Data Science, Analytics, and Commercial Transformation.

n

· At least 8–10 years of experience leading advanced analytics and Data Science programs.

n

· Robust domain expertise across two or more RGM levers, including:

n

o Pricing

n

o Promotion / Trade Promotion Optimization

n

o Assortment Optimization

n





o Trade Planning / Trade Investment Management

n

· Proven experience delivering enterprise-scale analytics and AI solutions in commercial functions.

n

· Strong understanding of internal and external data ecosystems used within RGM.

n

· Hands-on expertise in machine learning, statistical modeling, optimization, forecasting, and AI-driven decision-making.

n

· Deep technical expertise in processing and analyzing large-scale time series, syndicated, POS, shipment, pricing, promotion, and trade investment data.

n

· Strong quantitative foundation in regression, regularization, causal inference, forecasting, hierarchical Bayesian modeling, and model diagnostics for commercial analytics use cases.

n

· Hands-on experience solving complex optimization problems, including MILP, MINLP, constrained optimization, simulation, scenario planning, and trade-off analysis.

n

· Practical expertise with open-source and commercial optimization solvers and scalable implementation approaches for computationally intensive workloads.

n

· Ability to evaluate RGM models using both technical metrics and business outcomes, including elasticity quality, forecast accuracy, promotion lift, halo, cannibalization, demand transference, margin, revenue, and ROI impact.

n

· Experience with Python, R, SQL, and modern analytics ecosystems.

n

· Strong MLOps and productionization experience, including distributed computing, model monitoring, retraining, governance, reproducibility, and deployment of large-scale analytics pipelines.

n

· Demonstrated leadership managing large teams and complex client engagements.

n

· Strong client-facing, consulting, and stakeholder management experience.

n

· Advanced degree in Data Science, Statistics, Mathematics, Economics, Operations Research, Computer Science, Engineering, or related field.

n

n

Key Differentiator

n

This role offers the opportunity to build the future of Revenue Growth Management by combining RGM expertise, Data Science, AI/ML, GenAI, and Decision Intelligence to create enterprise-scale solutions that transform how commercial decisions are made. Candidates should have demonstrated Data Science experience across multiple RGM levers (at least two of Pricing, Promotion, Assortment, or Trade Planning).

📌 Director - Data science (RGM) (Bengaluru)
🏢 Tredence
📍 Bengaluru