Senior Manager - Data Platform, Sales

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Date: 12 May 2026

Location: IN

Company: Tata Consumer Products Limited

Tata Consumer Products Ltd.

 

 

 

 

About the Job: Senior Manager – Data Platform, Sales

 

 

Function: Digital

Location: Bangalore

Reporting To: Vice President – Data & AI

 

At Tata Consumer Products Ltd, we stand #ForBetter – Planet, Sourcing, Nutrition, Communities. And #ForBetter Opportunities …. Here’s an exciting one!

 

How does this Job align to our Strategy?

At the core of Tata Consumer Products' business approach lie six strategic pillars that serve as the foundation for its growth and success: Strengthening & Accelerating our Core Business, Driving Digital and Innovation, Unlocking Synergies, Creating a Future-Ready Organization, Exploring New Opportunities and Embedding Sustainability.

This job opportunity closely aligns with the key strategic pillars of driving digital and innovation, unlocking synergies and creating a future-ready organization.

This role is accountable for enabling sales growth, execution excellence, and commercial effectiveness by leveraging data platforms and analytics. The focus is on driving revenue, improving sales productivity, strengthening customer coverage, and enabling fact‑based decision‑making across Sales and Marketing teams.

Top dimensions :

Geography: Global

Direct reports: -

Complexity of the role (Optional):

 

 

Matrix Reports : NA

Type of Role : Individual Contributor

Primary Stakeholders (Optional):

What are the Key Deliverables in this role ?

Financial Outcomes

  • Deliver actionable insights and measurable business outcomes in partnership with Sales, Marketing, Digital, and Analytics stakeholders.
  • Drive adoption of data and analytics solutions to improve sales performance, productivity, and execution effectiveness.
  • Quantify, track, and report business value and ROI delivered through data‑driven sales initiatives.

Customer Service

 

  • Enable insight‑led decision‑making that supports improved sales execution and customer interactions.
  • Leverage analytics and AI capabilities to enhance sales effectiveness and responsiveness to customer needs.

Internal Processes

  • Translate business requirements into data, analytics, and AI requirements.
  • Lead the design, implementation, and continuous enhancement of sales analytics platforms and dashboards.
  • Ensure availability, accuracy, and reliability of sales data in line with defined SLAs.
  • Establish best practices for data governance, quality, security, and compliance.

Innovation and Learning

 

  • Enable a data‑driven sales culture through self‑service analytics and insight‑led decision‑making.
  • Identify, evaluate, and pilot new data, analytics, and AI capabilities relevant to sales effectiveness

 

What are the Critical success factors for the Role ?

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related discipline.
  • 8+ years of experience in data analytics, data platforms, or commercial analytics roles.
  • Proven track record of delivering business impact for Sales and/or Marketing using data and analytics.
  • Experience working with modern, cloud-based data platforms.
  • Strong stakeholder management skills with the ability to translate data into business outcomes.
  • Excellent communication skills, capable of engaging senior sales leadership.

Core Skills

  • Sales performance analytics (targets, MTD/YTD tracking, productivity, conversion).
  • Sales planning and forecasting analytics.
  • Dashboarding and insight storytelling for sales leaders.
  • Data modeling, ETL/ELT concepts, and analytics architecture fundamentals.
  • Data governance, quality management, and security best practices.
  • Vendor and partner management.
  • Program and delivery management in analytics initiatives.

What are the Desirable success factors for the Role?

  • Experience with CRM data, distributor or channel sales analytics.
  • Exposure to AI/ML use cases in sales (forecasting, segmentation, recommendations).
  • Experience enabling self-service analytics for business users.
  • Familiarity with pricing, promotions, and trade spend analytics.
  • Prior experience in large-scale sales transformations or digital initiatives.