Product Manager - Product Data & Catalog Platforms

EITACIES Inc.; Cumming (GA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

401(k)

Job summary

EITACIES Inc. is seeking an experienced Product Manager for Product Data & Catalog Platforms. The role requires leading product strategy, defining roadmaps, and delivering enterprise solutions. Responsibility includes translating business needs into product capabilities and managing cross-functional teams.

Candidates should have 7+ years in Product Management, strong Agile experience, and familiarity with PIM/MDM platforms. The position is onsite in Cumming, Georgia, and offers a dynamic work environment.

Qualifications

• 7+ years of Product Management or Product Owner experience.
• Strong experience in product strategy and backlog management.
• Hands-on Agile/Scrum experience with user stories.

Responsibilities

• Define product vision and long-term strategy.
• Lead Agile product management activities.
• Act as the primary product owner for Product Data and Catalog platforms.

Skills

Product Management

Agile/Scrum

Data Governance

Product Data Management

Collaboration

Tools

STIBO STEP

Informatica MDM

Riversand

Syndigo

Salsify

Job description

Product Manager - Product Data & Catalog Platforms

Onsite - Atlanta, GA

We are looking for an experienced Product Manager to lead the strategy, roadmap, and delivery of enterprise Product Data, Product Catalog, and Master Data Management (MDM/PIM) platforms.

Benefits

• 401(k)

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.

Required Qualifications

• 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, and similar enterprise PIM/MDM solutions.

Preferred Qualifications

• 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.