Data Product Manager - Remote

Role : Data Product Manager

Location : Remote in India

Duration : Long-term rolling contract

Notice Period : 30 days or less, although immediate joiners are highly preferred

Must Haves :

• 5+ years of experience in Product Management / Technical Delivery of enterprise-level programs and projects
• Experience working in a data-centric environment – understanding data flows, data quality rules, and able to follow data governance standards
• Must have experience using Azure DevOps for project tracking, user stories, UAT, etc.

Day to Day :

A Fortune 50 client is looking for a Data Product Manager to join their Modern Data Intelligence Program (migrating from Teradata to Azure Datalake / Databricks). As the Data Product Manager, you will be responsible for leading the charge for the program governance and technical delivery across the different tracks of the program. This role will require you to work across Data Engineering, Data Science, Data Governance / Stewardship, Vendor Management, Platform Teams, and AI teams to track, report, and collect data across all tracks to ensure timely delivery. You will be responsible for attending daily stand-ups and coordinating to ensure the internal partners on the current platform get what they need and are on track to migrate their tasks off the legacy Teradata and onto the new Datalake. This role requires someone who can partner with the offshore delivery teams and drive them to get their applications migrated. This position requires a lot of partnership and understanding of how data is coming in, data quality rules, how to do metrics across workstreams to pull together, and familiarity with the different architecture layers in Azure. This role can sit fully remote in India; however, candidates local to Hyderabad are strongly preferred. Shift preference would be 8 hours between 11 : 00 AM IST and 11 : 00 PM IST.

Skills Required

data engineering , Data Science, Product Management, Technical Delivery, Databricks, Data Governance, Azure Devops