Senior Product Manager – Data Analytics & Cloud Platform

Roles & Responsibilities

• Own the vision, strategy, roadmap, and lifecycle of enterprise data products.
• Serve as the Product Owner and subject matter expert for Cloud Analytics initiatives.
• Partner with business stakeholders, engineering teams, and leadership to define product requirements and priorities.
• Manage and prioritize the product backlog, ensuring alignment with business objectives.
• Create and refine user stories, acceptance criteria, and sprint priorities for Agile delivery teams.
• Drive the design, implementation, enhancement, and sustainment of data products.
• Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions.
• Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum value.
• Monitor product performance, identify improvement opportunities, and drive continuous innovation.
• Facilitate Agile ceremonies and ensure successful execution of Scrum and SAFe practices.
• Communicate product roadmap, progress, risks, and outcomes to leadership and key stakeholders.
• Support continuous improvement initiatives and promote best practices in Agile product management.

Required Technical/Functional Skills

• 10+ years of experience in Product Management, Product Ownership, or Business Analysis within enterprise IT environments.
• Proven experience managing Cloud Analytics, Data Analytics, or Data Platform products.
• Strong understanding of data analytics, data science, and data integration concepts.
• Experience defining product vision, strategy, roadmap, and execution for enterprise data products.
• Hands-on experience with Agile methodologies, including Scrum and SAFe.
• Strong experience managing product backlogs, user stories, acceptance criteria, and release planning.
• Proficiency with Jira, Confluence, Microsoft Visio, Whiteboard, and PowerPoint.
• Excellent stakeholder management, communication, analytical, and problem-solving skills.

Preferred Skills

• Experience working in Claims, Insurance, Consumer, or Leave Management domains.
• Knowledge of Cloud Analytics platforms, Data Warehousing, and Data Integration solutions.
• Experience collaborating with cross-functional engineering, analytics, and business teams.
• Ability to translate business needs into scalable data product solutions.