Associate Product Manager

Role Overview

As a Associate Data Product Manager, you will play a pivotal role in shaping the future of data at Aakash. You will be responsible for the strategy, roadmap, and execution of data products that empower teams across the organization to make smarter, data-driven decisions. This is a hands-on role where you will bridge the gap between our business needs and our technical data infrastructure, ensuring that our data is treated as a core strategic asset.

You will be instrumental in executing key strategic projects, such as building our Customer

Data Platform (CDP) from the ground up or leading the transformation of our AWS Data

Lake into a modern, well-governed data mesh.

Key Responsibilities

• Product Strategy & Roadmap:

  Develop and own the product roadmap for our core

data platforms and products. Define the vision and strategy for how data can solve

business problems and unlock new opportunities.

• Stakeholder Collaboration:

  Work closely with business stakeholders (Marketing, Sales,

Academics, Operations) to understand their data needs, gather requirements, and define

key metrics.

• Execution & Delivery:

  Collaborate with data engineers, analysts, and architects to

translate requirements into technical specifications and user stories. Prioritize the

backlog and manage the entire product lifecycle from ideation to launch and iteration.

• Strategic Initiatives:

  Lead high-impact projects, such as building a unified Customer

Data Platform (CDP) or evolving our AWS Data Lake into a well-governed and easily

accessible data mesh.

• Data Evangelism:

  Champion the adoption of data products across the organization.

Develop documentation, and training materials, and communicate the value of new

features and capabilities.

• Define Success:

  Define and analyze metrics that measure the success, adoption, and

business impact of our data products.

Qualifications & Skills

Must-Have:

• Experience:1-3 years of overall professional experience in a data-centric role such as Data Analyst, Product Analyst, or Business Analyst. Relevant internships will be strongly considered.
• SQL Proficiency: Foundational knowledge of SQL for data querying and analysis.
• Data Environment Experience: Hands-on experience working within a Data Lake or Data Warehousing environment.
• Product Mindset: A strong ability to understand user needs, break down complex problems, and prioritize features effectively.
• Excellent Communication: The ability to clearly articulate complex concepts to both technical and non-technical audiences.

Good-to-Have:

• Cloud Experience: Familiarity with cloud data services, particularly in AWS (e.g., S3,

Glue, Redshift, Athena).

• Modern Data Stack Knowledge: Understanding of Data Lakehouse concepts and

architecture.

• Data Governance: Knowledge of data governance principles, data quality, and data

cataloging tools.

• Educational Sector Experience: A passion for or previous experience in the EdTech

industry.

• AI/ML and GenAI: High Level understanding to be able to work with Data Scientists.