Product Manager

AB InBev APAC; Kolkata District; On-site; INR 2,300,000 - 3,600,000; Full time

Job summary

AB InBev APAC is seeking a Product Manager to lead BrewDat’s data engineering and integration products. You will own the vision for ingestion, transformation, and serving, working with data engineers, analytics engineers, and ML engineers to deliver scalable data solutions.

You will translate data strategy into a prioritized roadmap, collaborating with engineering, architecture, and adoption teams to drive data platform adoption and reliability.

Qualifications

• Solid experience as a Product Manager (or Product Owner acting as PM) in data platforms, data engineering, analytics platforms, or developer/platform tools.
• Technical products with strong infrastructure or backend components.
• Technical background (e.g., Computer Science, Engineering, Data, or equivalent experience). You don't need to code daily, but you must discuss architecture, pipelines, and technical trade-offs with engineers.
• Understand concepts like data pipelines, ETL/ELT, orchestration, data lakes, data warehouses, and APIs.
• Broaden the technical scope to include API management, event-driven architectures, and microservices alongside the existing data pipeline concepts.

Responsibilities

• Build and evolve the vision, strategy, and roadmap for BrewDat’s data engineering capabilities (ingestion, transformation, and serving).
• Understand and prioritize user needs from data engineers, analytics engineers, ML engineers, and domain teams.
• Turn complex platform capabilities into clear, usable products that make data teams more productive and autonomous.
• Build our Integration-as-a-Service platform and guide the transition from legacy middleware to cloud-native architectures.
• Define and evolve the product backlog for the Data Engineering squad and write clear user stories and acceptance criteria.
• Work in an Agile environment, coordinating with Engineering and Architecture to ensure alignment.
• Define and track product KPIs: adoption, CSAT, build times, time-to-data, platform reliability.

Skills

Data platforms

Data engineering

Analytics platforms

Developer tools

Backend architecture

APIs

ETL/ELT

Data pipelines

Data lakes

Data warehouses

Microservices

Cloud/Databricks

Tools

GitHub

CI/CD

Data Mesh

Azure Databricks

Airflow

Datadog

Job description

Job Description

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 center 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 Title: Product Manager

Location: Bangalore

PURPOSE OF ROLE

BrewDat is ABI’s data platform, powering data products and AI solutions across all our domains – from sales and marketing to supply, finance, people, and more.

We provide the data foundations, frameworks, and tools that enable teams across ABI to ingest, transform, govern, and serve data at scale - following Data Mesh and Domain-Driven Design principles.

About The Role

We’re looking for a Product Manager with a strong technical background to lead the Integration products of BrewDat.

Your main mission is to:

• Build and evolve the vision, strategy, and roadmap for BrewDat’s data engineering capabilities (ingestion, transformation, and serving).


• Understand and prioritize user needs from data engineers, analytics engineers, ML engineers, and domain teams.


• Turn complex platform capabilities into clear, usable products that make data teams more productive and autonomous.


• Build our Integration-as-a-Service platform and guide the transition from legacy middleware to cloud-native architectures

You’ll work in a cross-functional squad alongside engineers, a Delivery Manager, architects, and governance specialists, and you’ll collaborate closely with the Adoption team, who bring users’ needs to the product area.

Key Tasks And Accountabilities

• Product Strategy & Vision


• Define and evolve the product vision for BrewDat's data engineering layer (ingestion, transformation, and serving).


• Translate company and data strategy into a clear, prioritized roadmap for your squad.


• Discovery & User-Centricity


• Deeply understand the needs of data engineers, analytics engineers, domain squads, and internal platform users.


• Run product discovery: interviews, usage analysis, experiments, and feedback loops with internal customers.


• Roadmap & Delivery


• Own and manage the product backlog for the Data Engineering squad.


• Write clear problem statements, user stories, and acceptance criteria, focusing on outcomes rather than outputs.


• Work in an Agile environment, participating in ceremonies and ensuring alignment between Product, Engineering, and Architecture.


• Measurement & Continuous Improvement


• Define and track product KPIs: adoption, CSAT from users, build times, time-to-data, platform reliability, etc.


• Use data and feedback to continuously refine priorities and validate if shipped features are creating value.


• Promote a culture of experimentation and continuous improvement within the squad.


• Stakeholder Management & Communication


• Align with multiple stakeholders (domains like sales, marketing, supply, finance, tech, etc.).


• Communicate roadmap, progress, trade-offs, and impact clearly and frequently.


• Partner with the Adoption team to launch new capabilities, manage change, and scale usage.


• Middleware


• Managing the consolidated middleware roadmap, prioritizing global reliability frameworks (like cross-zone replication/caching), and tracking integration unit economics (e.g., standardizing integration cost per application).

QUALIFICATIONS, EXPERIENCE, SKILLS

Must-Have

• Solid experience as a Product Manager (or Product Owner acting as PM) in:


• Data platforms, data engineering, analytics platforms, or developer/platform tools, or


• Technical products with strong infrastructure or backend components.


• Technical background (e.g., Computer Science, Engineering, Data, or equivalent experience). You don't need to code daily, but you must:


• Be comfortable discussing architecture, pipelines, and technical trade-offs with engineers.


• Understand concepts like data pipelines, ETL/ELT, orchestration, data lakes, data warehouses, and APIs.


• Broaden the technical scope to include API management, event-driven architectures, and microservices alongside the existing data pipeline concepts.

Strong skills in

• Product discovery and problem framing.


• Prioritization and roadmap management.


• Ability to navigate complex stakeholder environments, negotiate priorities, and align diverse interests.


• Strong communication skills in English (written and spoken).

Nice-to-Have (Differentials)

• Experience with some of the technologies and concepts we use is a big plus, but not mandatory:


• Cloud & Data: Azure, Databricks, Apache Spark, Airflow, Unity Catalog.


• Engineering Practices: GitHub, CI/CD, code review flows, Data Mesh.


• Experience with internal platforms or \"products for developers/data teams\" is especially valuable.


• Explicitly call out experience with legacy-to-cloud migrations (e.g., MuleSoft to Camel-K), Azure DevOps for delivery tracking, and deep observability tools like Datadog.

And above all of this, an undying love for beer!

We dream big to create future with more cheers