Data Product Manager

YASH Technologies

Data Product Manager at YASH Technologies focusing on data analytics and product vision. Driving data transformation and leading cross-functional collaboration for AEI business.

Posted 5/24/2026full-timePune • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Create, own the Data Product vision, strategy, and roadmap for AEI business
Ensure transparency and clarity of the data product roadmap across stakeholders.
Define the data product’s value proposition and articulate across business stakeholders and management.
Collaborate with business stakeholders to define product requirements.
Collaborate with cross-functional teams to align product development with business goals
Continuously improve existing features and create new Data Products.
Organize stakeholder reviews and conduct data product demos.
Lead and drive the acceleration and delivery of Data and Analytics transformation agenda owning the both quantitative and qualitative outcomes
Lead the relationship between stakeholders and data team members and own end to end project delivery from business requirements, planning, design, development and implementation of Data and Analytics
Perform hands-on analysis to measure product adoption, data quality, and business impact, and feed learnings back into product improvements.
Define, prioritize the backlog of data product team to drive AEI's business value.
Adapt the backlog to changing customer and business needs and regularly validate backlog alignment with changing priorities.
Advocate for user needs and ensure customer satisfaction.
Ensure data products are built upon reliable and scalable data infrastructure.
Collaborate with other Data Product Managers for Data sharing, publishing and data product releases.
Partner with architecture, solutions delivery and data service operations team to ensure designs meet requirements.
Maintain product data quality and agility, avoiding data debt.
Assist in testing, troubleshooting, and problem-solving related to data products.

Requirements

What you’ll need

Minimum of 10+ years of data and analytics field experience in the industries like manufacturing, engineering, supply chain with large-scale implementation experience.
5 years in a technical project management or delivery management role in Data and Analytics scope
Strong data storytelling skills to create a compelling vision.
Ability to engage with internal customers, engineers, and product teams.
Strong ability to analyze datasets (SQL/BI tools) and translate insights into product requirements and prioritization.
Monitor market trends and competitive landscape.
Adapt to changing requirements and priorities.
Ability to Get things done while overcoming the challenges during the process
Familiarity with data engineering, coding pipelines, and data platform development.
Understanding of data analysis techniques

Benefits

Comp & perks

Flexible work arrangements
Stable employment with a great atmosphere
Ethical corporate culture
All Support needed for the realization of business goals
Career-oriented skilling models

ATS Keywords

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Hard Skills & Tools

data product managementdata analysisSQLbusiness intelligence toolsdata storytellingdata engineeringcoding pipelinesdata platform developmentproject managementdata quality

Soft Skills

stakeholder engagementcollaborationadaptabilitycustomer satisfactionproblem-solvingcommunicationleadershipanalytical thinkingvision articulationprioritization