Senior Manager - Data Platform, Sales

Function: Digital

Location: Bangalore

Reporting To: Vice President – Data & AI

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.