Global Sales BT CoE Lead

Deputy General Manager – Global Sales BT COE

(Global Sales Business Technology Centre of Excellence & Sales AI Products SME)

Company: Godrej Consumer Products

Function:  Sales Business Technology (BT) – AI Product Organisation

Level: Deputy General Manager (DGM)

Location: Mumbai

Job Type: Permanent, Full-time

The incumbent will own the global Centre of Excellence (COE) for Sales Business Technology and act as the product manager for Sales AI Products across GCPL’s India and international clusters. The role spans end-to-end commercial platform delivery and governance, integration architecture, standardisation of commercial processes, and the identification, development and scaling of AI-led solutions for Sales that improve productivity and business decision-making.

What impact will you create?

Global Sales BT Centre of Excellence

•     Own the end-to-end global delivery of the commercial and sales technology platform landscape (including DMS, SFA and secondary sales systems) — defining and executing the product roadmap, prioritizing business demand, and ensuring timely, high-quality delivery and platform stability.
•     Harmonise platforms across clusters and geographies under a common operating model, eliminating duplication of effort and commercial leakage.
•     Drive commercial governance — own the closure of internal and external agreements and performance scorecards, and lead periodic leadership reviews covering both BAU and projects.
•     Lead the standardisation and streamlining of core commercial processes (such as claims, inventory, returns and related channel processes) — reducing manual effort, improving turnaround, and ensuring audit-ready, controlled execution.
•     Strengthen and upgrade the integration architecture across the commercial technology stack, enabling seamless and reliable data flow between core enterprise, sales and cloud / data platforms.
•     Define the standardised operating model and technology strategy for sales platforms across markets — target architecture, governance framework, implementation roadmap and market-onboarding approach.
•     Scope out and deliver TPM solutions for clusters and roadmap for TPO solutions
•     Define and help deliver sales technology for Q-com, e-com solutions and its associated analytics solutions.

Sales AI Products SME

•     Act as the subject-matter expert bridging the sales / commercial business and the AI Product Organisation — translating business problems into clear AI product requirements.
•     Identify, develop and scale AI-driven use cases that improve commercial productivity and business decision-making, delivering measurable business value.
•     Drive user adoption of AI products across sales teams, working towards defined adoption and productivity targets.
•     Partner with the AI Product Organisation on the sales-relevant AI portfolio — shaping the roadmap, supporting testing, rollout and change management.
•     Establish data quality, insight standards and governance for AI-driven sales solutions.

Leadership & Partner Management

–    Manage technology and vendor partners (e.g. Mobisy / Bizom, SAP and integration partners) — owning SLAs, commercials and delivery quality.

Who will you partner with?

Your manager – You will report to the AVP – Business Transformation (AI Product Organisation), within the Business Technology function.

You will also partner closely with global and cluster Sales & Commercial leadership, Finance and Commercial teams, the AI Product Organisation, enterprise IT and Data Platform teams, and external technology partners.

Who are we looking for?

Key Skills

–    Deep understanding of FMCG sales and commercial processes — DMS, SFA, secondary sales, claims, inventory and route-to-market.

–    Proven experience delivering revenue numbers and working with sales ecosystem of GCPL

•     Strong grasp of integration architecture (APIs, SAP, cloud / Azure data platforms) and of platform stability and governance.
•     Working knowledge of AI / ML product concepts and the ability to identify, prioritise and scale practical AI use cases in a commercial context.
•     Product-management orientation — roadmap ownership, demand prioritisation and delivery accountability.
•     Vendor and commercial governance — agreements, SLAs and performance scorecards.
•     Excellent stakeholder management across business and technology, including senior-leadership communication.
•     People leadership — building, mentoring and retaining high-performing teams.
•     Timeliness, responsiveness, accuracy, compliance and a strong controls orientation.