Data Product Manager

Key Responsibilities

Data Product Ownership & Strategy

• Define and own the vision roadmap and backlog for data products aligned to business priorities
• Translate business requirements into scalable data products such as datasets dashboards APIs and analytics solutions
• Drive product lifecycle management from ideation design build testing to deployment and continuous improvement
• Ensure reusability and standardization using data product frameworks (medallion architecture semantic layer)
• Prioritize backlog based on business impact feasibility and platform strategy
• Build and maintain value realization dashboards for leadership
• Continuously refine products based on usage insights and feedback

Business Stakeholder Engagement

• Act as the primary interface between business units and data teams
• Collaborate with stakeholders to identify high-impact use cases
• Convert ambiguous business problems into structured data-driven solutions
• Drive alignment through regular stakeholder reviews demos and feedback loops
• Ensure high adoption by focusing on user experience and business outcomes

End-to-End Project Ownership

• Manage multiple concurrent data initiatives across business units
• Define and track project scope milestones timelines risks and dependencies
• Lead delivery using Agile / Scrum or hybrid models
• Ensure coordination across data engineering analytics visualization and business teams
• Proactively manage risks escalations and issue resolution
• Manage delivery through external vendors and partners
• Ensure alignment to SOW timelines and SLAs
• Monitor vendor performance and quality of deliverables
• Drive accountability and resolve delivery bottlenecks

Cross-Functional Team Leadership

• Drive collaboration across Data Platform Engineering BI Governance and vendors teams
• Ensure teams are aligned on goals priorities and delivery timelines
• Ensure all data products align with enterprise data platform strategy (Lakehouse AWS/GCP)
• Collaborate with architecture teams to ensure Scalability and performance Data quality lineage and governance compliance.
• Promote data reuse and asset standardization across use cases and drive adoption of best practices in data modeling and design

Experience

• 1015 years in Data / Analytics / Product / Program Management roles
• Experience in managing large-scale data or analytics projects
• Exposure to cross-functional and global teams
• Experience in Manufacturing domain preferred

Benefits

We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.

• Make yourself a priority with flexible schedules parental leave
• Drive forward your career through professional development opportunities
• Achieve your personal goals with our Employee Assistance Programme

Our commitment to you

Our greatest assets are the expertise creativity and passion of our employees. We strive to provide a great place to work that attracts develops and retains the best talent promotes employee engagement fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices providing enriching career opportunities listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or veteran status age or any other federally protected class.

Job Applicants Privacy Notice:

Click on this link to read the Job Applicants Privacy Notice