Data Product Manager

Location: Bengaluru

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential.

The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The centre leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?

We Need You.

Job Description

Job Title:

Associate Product Manager

Location:

Bangalore (Onsite)
Reporting to:  Senior Manager - Product

PURPOSE OF ROLE

We are seeking an Associate Product Manager (APM) to own and drive data products that enable critical Supply Chain analytics and reporting use cases. This role will work closely with business stakeholders, Data Engineers, Architects, and QA teams to define requirements, document transformations across the medallion architecture, and ensure high-quality, analytics-ready data is delivered in an optimal and scalable manner.
The APM will act as the end-to-end owner of the data product, from requirement discovery and roadmap definition to delivery, quality assurance, and ongoing enhancements.

KEY TASKS AND

ACCOUNTABILITIES

Data Product Ownership & Stakeholder Alignment

Own one or more  Supply Chain data products  on Brew Dat that enable specific business use cases and analytics outcomes.
Partner with business stakeholders to define the  data product vision, roadmap, and data strategy , aligned with reporting and analytics needs.
Translate business problems into clearly defined data use cases, success metrics, and delivery milestones.
Act as the primary interface between stakeholders and data engineering teams, ensuring continuous alignment on scope, priorities, and outcomes.

Requirement Documentation & Medallion Architecture Design

Lead detailed requirement discovery sessions with stakeholders to understand data requirements
Create and maintain Source-to-Target Mapping (STTM) documents covering:
Source systems and raw ingestion (Bronze layer)
Cleansed, conformed, and enriched datasets (Silver layer)
Business-ready, analytics-optimized models (Gold layer)
Clearly document business rules, transformations, aggregations, and data quality checks at each layer of the medallion architecture.
Ensure documentation is accurate, version-controlled, and consumable by Data Engineers, QAs, and Architects.

Agile Delivery & Team Leadership

Own and prioritize the product backlog for Data Engineers and QA resources.
Plan and drive agile ceremonies including sprint planning, daily scrums, backlog refinement, demos, and retrospectives.
Provide clear guidance and context to Data Engineers and Architects on implementation approaches and priorities.
Track progress, manage dependencies, and proactively unblock delivery risks.
Experience leading and coordinating  cross-functional teams of Data Engineers and Architects  to deliver complex data solutions.

Data Quality, Issue Management & Platform Governance

Define and implement  data quality rules , reconciliation checks, and validation criteria in partnership with stakeholders and engineers.
Act as the  first point of contact (POC)  for data defects, pipeline failures, and production issues.
Perform first-level triage and root cause analysis before assigning issues to the appropriate team member.
Ensure data is onboarded and maintained in Brew Dat following platform standards, performance best practices, and cost optimization guidelines.

Technical Enablement & Analytics Readiness

Leverage  SQL and Databricks  knowledge to:
Validate data outputs and transformations
Support engineers in requirement clarification
Perform basic analysis and troubleshooting
Use  Databricks Lakehouse…