Requirements Summary

Strong product management fundamentals, data architecture, data modeling, ETL/ELT concepts, APIs, and analytics ecosystems

Benefits

Education

Bachelor's degree

Full Job Description

Role Overview The Product Manager will drive the strategy, roadmap, and delivery of enterprise data products and platform capabilities. This role will serve as the bridge between business stakeholders, engineering teams, analytics teams, data governance, project management, and other product organizations to deliver scalable, secure, and impactful data solutions. What You Will Do Define and own the vision, strategy, and roadmap for Data Platform and Analytics products. Identify opportunities to leverage data as a strategic asset across business functions. Prioritize initiatives based on business value, customer impact, technical feasibility, and organizational goals. Why It Might Be a Fit The ideal candidate combines strong product management fundamentals with a deep understanding of data platforms, analytics, reporting, governance, and modern data architectures. You will play a critical role in enabling data-driven decision-making, supporting business growth, and building reusable data capabilities across the organization. Requirements Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related field. 5+ years of Product Management experience. Experience working with enterprise data platforms, analytics products, data warehouses, or business intelligence solutions. Strong understanding of data architecture, data modeling, ETL/ELT concepts, APIs, and analytics ecosystems. Hands-on experience working with Agile delivery teams. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Proven ability to influence cross-functional teams without direct authority. Benefits Deliver high-impact data products that drive measurable business outcomes. Improve adoption of enterprise data platforms and analytics solutions. Increase stakeholder satisfaction through effective collaboration and communication. Improve data quality, reliability, and self-service capabilities. Establish scalable and reusable data capabilities across multiple business domains. Enable faster and more informed business decision-making through trusted data and analytics.

Skills and Technologies