MDM Product Manager

Description

• Drive the adoption of MDM solutions and promote a data-informed culture by ensuring users understand the value and proper use of master data.
• Lead the agile development process, working closely with Product Owners, Business stakeholders, and cross-functional teams including data engineers, data scientists, architects, and business analysts.
• Analyze market and data trends: Stay current with MDM technology trends, data management best practices, and regulatory changes to identify opportunities for platform enhancement and innovation.
• Data-driven decision-maker: Uses metrics and insights to guide product decisions and optimize outcomes.
• Ensure product quality by leading process and data owners through effective User Acceptance Testing and validation efforts to ensure product meets all business and functional requirements.
• Collaborate with enterprise stakeholders, architecture, and engineering teams to ensure the MDM solution is scalable, reliable, and secure for each initiative and meets requirements for a large, global user base.
• Act as the subject matter expert (SME) for master data domain(s), advocating for the product and its value across the organization and serving as the primary point of contact for stakeholders across different business units and regions.
• Champion data governance through active collaboration with enterprise data governance councils and working groups to enforce data policies, standards, and quality rules across master data domains such as customer, product, and enterprise reference data management.
• Effectively communicate complex data concepts and product updates to diverse stakeholders, from technical teams to senior leadership.
• Develop and execute a multi-year product roadmap based on customer needs, data strategy, and business value. Influence cross functionally to secure funding and operational support based on prioritized master data domains. Communicate the product roadmap, progress, and value delivered in a clear and compelling manner.
• Drive adoption and change management through partnership with global process owners to manage change, drive product adoption, and foster a data-driven culture throughout the organization.
• Establish and enforce master data governance frameworks, including policies, standards, data ownership models, and control mechanisms.
• Define product vision and strategy for the global MDM platform and its associated data products, aligning with the overall enterprise data strategy.
• Partner with data stewards and business units to manage the end-to-end master data lifecycle, from creation and enrichment to retirement.
• Design and implement data matching, cleansing, and validation workflows within MDM and data quality platforms.
• Define and monitor data quality metrics (e.g., accuracy, completeness, timeliness) and configure automated dashboards to track performance.
• Manage the product backlog, continuously refining and prioritizing features to deliver maximum business value with each release. Work with business leaders, data governance teams, and global process owners to gather complex business needs and translate them actionable technical requirements.
• Influence and align cross-functional teams by using data-driven arguments and demonstrating the product's impact on business outcomes.
• Ensure effective management of change processes by providing ample communication and lead time to address every possible dependency for all impacted system and dependent processes.

Requirements

• Strategic thinking and a user-centric mindset, focused on delivering maximum business value.
• Strategic and tactical thinker: Can balance the long-term product vision with the day-to-day execution required to get there.
• Bachelor's degree in a relevant field such as Information Management, Computer Science, or Data Analytics.
• Problem-solver: Possesses strong analytical and critical thinking skills to resolve complex challenges creatively and effectively.
• Excellent communication, presentation, and leadership skills with the ability to influence and drive consensus across technical and non-technical stakeholders at all levels.
• Proven ability to manage and prioritize product backlogs for large, complex enterprise systems in a global setting.
• Experience with data quality tools for data profiling, cleansing, and enrichment.
• Strong analytical and problem-solving abilities, with a mindset for continuous improvement.
• 5+ years of experience as a Product Owner in an agile environment, preferably with data-centric products.
• Deep understanding of master data domains, data governance frameworks, data modeling, and data quality principles.
• A background in data modeling, data analysis, or related technical discipline.
• Proficiency in SQL and a basic understanding of data analysis techniques.
• Familiarity with cloud services, APIs, and systems architecture is a plus.
• Collaborative spirit: Fosters strong relationships across diverse teams and functions within a global matrix organization.
• Experience with standard agile tools like Jira or Azure DevOps.
• Experience with a leading MDM technology platform (e.g., Reltio, Informatica MDM, SAP MDG, Profisee).
• 3+ years of direct experience with Master Data Management (MDM) platforms and concepts.
• Experience working in a regulated industry, with knowledge of data privacy regulations (e.g., GDPR, CCPA).
• Empathetic leader: Understands and advocates for the needs of both business users and technical teams.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance