Data Product Manager

Role Overview

• 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

• 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

Tech Stack

• SQL

Benefits

• 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