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Job Details
Hope you are doing good!!!!
My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.
Data AI Product Manager / Product Owner
Atlanta , GA/ Frisco, TX /Bellevue, WA
Required skills: Jira, Product Management, Product Owner, AI/ML
Experienced Product Owner / Product Manager to lead and drive the development of cutting-edge Data & AI initiatives.
The ideal candidate will be responsible for shaping the product vision, defining requirements, and working closely with cross-functional teams including Data Engineers, AI/ML specialists, and stakeholders.
Proficiency in tools like Jira and Confluence is essential for managing agile workflows and maintaining transparency.
Key Responsibilities: - Define and communicate the product vision, roadmap, and goals for Data & AI platforms or solutions. - Translate business needs into detailed user stories, features, and acceptance criteria. - Own and manage the product backlog in Jira, ensuring it is visible, transparent, and prioritized. - Facilitate Agile ceremonies (sprint planning, backlog grooming, reviews, retrospectives). - Maintain documentation and knowledge bases in Confluence. - Collaborate with data scientists, engineers, and architects to deliver high-impact AI/ML features. - Work with stakeholders to ensure the solution meets regulatory, compliance, and data governance standards. - Monitor product performance and user feedback to iterate and improve solutions. - Communicate effectively with senior leadership, delivering status updates, risks, and dependencies.
Required Skills: - Good experience as a Product Owner or Product Manager, with at least 2 years in Data / AI / ML-related projects. - Strong experience in Jira (for backlog management, sprints) and Confluence (for documentation, wikis). - Solid understanding of data platforms, AI/ML workflows, and analytics tools. - Demonstrated experience working in Agile / Scrum environments. - Strong communication and stakeholder management skills. - Ability to translate complex technical topics into business-friendly language. - Familiarity with tools like Databricks, Snowflake, Azure/AWS/Google Cloud Platform, or similar data platforms. - Understanding of AI/ML lifecycle, including model training, evaluation, and deployment.
Experience with data governance, MLOps, or Responsible AI practices.
Thanks & Regards,
Pavan Raikhelkar
LEAD TALENT ACQUISITION SPECIALIST
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