Data Product Operations Manager

EazyML, founded by Bell Labs research veterans, specializes in Responsible AI. Recognized by Gartner, EazyML (www.EazyML.com) provides a Transparent ML platform that facilitates proactive compliance and sustainable automation. EazyML's solutions align AI/ML with business processes for quick benefits and alleviating risks. The company is associated with breakthrough startups like Amelia.

Data Product Operations Manager

The person can work from home (anywhere in INDIA, job location is in India).

Data Product Operations Manager

Key Responsibilities

• Own operations of data products and data marts, including data freshness, accuracy, and SLAs
• Monitor data pipelines and resolve data issues and discrepancies
• Manage and optimize data flows between data marts, Salesforce, and Marketo
• Ensure data hygiene, validation, and governance across systems
• Serve as the primary operational contact for data-related issues and requests
• Document operational processes and drive continuous improvements

Qualifications

• Bachelor's degree in engineering, computer science, statistics, or a related quantitative field
• 3+ years in data operations, analytics operations, or data platform operations
• Strong experience operating data products and data marts and data transformations
• Hands-on knowledge of Salesforce CRM and Marketo from a data operations perspective
• Ability to troubleshoot data issues and work cross-functionally