Job Description

About the Role

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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.

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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.

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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.

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Key Responsibilities

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Revenue Growth Management & Data Science Leadership

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

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o Pricing & Price Optimization

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o Price Elasticity Modeling

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o Trade Promotion Optimization (TPO)

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o Assortment Optimization

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o Trade Investment Effectiveness

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o Revenue Planning & Forecasting

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o Consumer & Commercial Analytics

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- Design and implement enterprise-grade RGM solutions that integrate multiple commercial levers rather than isolated analytics engagements.
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- Drive the development of scalable Decision Intelligence systems that support commercial decision-making.
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- Apply advanced statistics, machine learning, optimization, forecasting, causal analytics, and AI techniques to solve complex revenue growth challenges.
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- Establish best practices for model development, validation, deployment, and business adoption.
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Solution Development & Innovation

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- Build and scale enterprise RGM platforms and AI-powered commercial solutions.
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- Drive adoption of GenAI and Agentic AI capabilities within commercial and RGM ecosystems.
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- Develop reusable accelerators, frameworks, and solution assets across RGM domains.
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- Partner with industry and practice leaders to create differentiated offerings for clients.
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Client Advisory & Commercial Consulting

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- Act as a trusted advisor to client stakeholders and executive leadership.
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- Lead solution workshops, value discovery discussions, and transformation roadmaps.
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- Translate business problems into analytics and AI-driven solutions.
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- Communicate complex analytical insights and solution approaches to both technical and non-technical audiences.
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Project & Program Leadership

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- Oversee project delivery timelines, quality metrics, commercial outcomes, and delivery governance.
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- Manage large-scale analytics and AI engagements across global clients.
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- Act as the bridge between business stakeholders, domain experts, data scientists, and engineering teams.
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- Identify and mitigate project risks while ensuring alignment with business objectives.
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Practice Building & Pre-Sales

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- Contribute to business development, solutioning, proposals, RFPs, and strategic pursuits.
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- Support growth of the RGM practice through thought leadership and capability development.
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- Build relationships across clients, industry leaders, and ecosystem partners.
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- Drive innovation initiatives and contribute to the development of future-state RGM offerings.
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Team Leadership

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- Lead and mentor teams of data scientists, data engineers, consultants, and analysts.
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- Foster a culture of innovation, collaboration, and continuous learning.
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- Develop future leaders and strengthen organizational capabilities in RGM and Data Science.
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Required Qualifications

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- 15–20 years of overall experience with significant experience in Data Science, Analytics, and Commercial Transformation.
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- At least 8–10 years of experience leading advanced analytics and Data Science programs.
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- Strong domain expertise across two or more RGM levers, including:
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o Pricing

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o Promotion / Trade Promotion Optimization

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o Assortment Optimization

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o Trade Planning / Trade Investment Management

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- Proven experience delivering enterprise-scale analytics and AI solutions in commercial functions.
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- Strong understanding of internal and external data ecosystems used within RGM.
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- Hands-on expertise in machine learning, statistical modeling, optimization, forecasting, and AI-driven decision-making.
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- Deep technical expertise in processing and analyzing large-scale time series, syndicated, POS, shipment, pricing, promotion, and trade investment data.
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- Strong quantitative foundation in regression, regularization, causal inference, forecasting, hierarchical Bayesian modeling, and model diagnostics for commercial analytics use cases.
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- Hands-on experience solving complex optimization problems, including MILP, MINLP, constrained optimization, simulation, scenario planning, and trade-off analysis.
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- Practical expertise with open-source and commercial optimization solvers and scalable implementation approaches for computationally intensive workloads.
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- 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.
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- Experience with Python, R, SQL, and modern analytics ecosystems.
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- Strong MLOps and productionization experience, including distributed computing, model monitoring, retraining, governance, reproducibility, and deployment of large-scale analytics pipelines.
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- Demonstrated leadership managing large teams and complex client engagements.
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- Strong client-facing, consulting, and stakeholder management experience.
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- Advanced degree in Data Science, Statistics, Mathematics, Economics, Operations Research, Computer Science, Engineering, or related field.
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Key Differentiator

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This role offers the prospect 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