Data Manager Jobs

About The Position

Requirements

• 7+ years of Product Management, Technical Product Management, or Product Owner experience.
• Strong experience owning product strategy, roadmap, backlog, releases, and delivery for enterprise software products.
• Hands-on Agile/Scrum experience with backlog management, user stories, and prioritization.
• Experience partnering directly with engineering teams to build and deliver software products.
• Experience working with Product Information Management (PIM), Master Data Management (MDM), Product Catalog, or Data Governance platforms.
• Experience with one or more enterprise platforms such as: STIBO STEP Informatica MDM Riversand Syndigo Salsify InRiver Similar enterprise PIM/MDM solutions

Nice To Haves

• Strong hands-on experience with STIBO STEP.
• Retail, B2B Commerce, or Digital Commerce experience.
• Automotive Aftermarket industry experience.
• Knowledge of ACES/PIES standards.
• Experience working in large-scale enterprise data environments.

Responsibilities

• Define and drive product vision, roadmap, and long-term platform strategy.
• Partner with business and technology leaders to identify opportunities and prioritize initiatives.
• Translate business needs into scalable product capabilities and technology solutions.
• Establish product KPIs, success metrics, and measurable business outcomes.
• Own product backlog, prioritization, release planning, and feature delivery.
• Create epics, user stories, acceptance criteria, and detailed product requirements.
• Work closely with engineering, architecture, UX, and data teams throughout the development lifecycle.
• Lead Agile product management activities including backlog refinement, sprint planning, and stakeholder reviews.
• Drive successful delivery of new features and platform enhancements across multiple teams.
• Act as the primary product owner for Product Data and Catalog platforms.
• Collaborate with business stakeholders to understand challenges and define solutions.
• Communicate roadmap progress, priorities, and outcomes to leadership and cross-functional teams.
• Build alignment across business, technology, operations, and data governance groups.
• Lead initiatives involving Product Information Management (PIM), Master Data Management (MDM), Product Catalogs, Data Governance, and Data Syndication.
• Support development of product data models, APIs, integrations, governance processes, and downstream data distribution capabilities.
• Identify opportunities to improve data quality, operational efficiency, and customer experiences through better product data management.

Benefits

• 401(k)