MDM Product Owner

The MDM Product Owner & Data Analyst is responsible for defining, prioritizing, and delivering capabilities for a custom Master Data Management (MDM) platform that governs client and product data across the enterprise. This role serves as the bridge between business stakeholders, data governance teams, and technology teams to ensure the MDM solution supports high-quality, trusted, and consistent master data for operational and analytical use cases.

In addition to traditional Product Owner responsibilities, the role requires strong data analysis and troubleshooting capabilities to validate how data is sourced, enriched, transformed, stored, and presented across the MDM ecosystem.

• 5+ years of experience as a Product Owner, Product Manager, Business Analyst, or MDM functional lead. 
• Strong understanding of MDM concepts, including golden records, matching and merging, survivorship rules, reference data, and data governance. 
• Strong communication skills with the ability to collaborate effectively with business stakeholders, data governance teams, developers, and data engineers.
• Proficient in SQL with the ability to analyze backend data structures, validate data quality, and troubleshoot discrepancies between application UI and database records. 
• Experience testing and validating MDM systems including external data provider integrations using Postman or similar tools. 
• Familiarity with third-party data enrichment providers such as Dun & Bradstreet. 
• Experience investigating data lineage, data mappings, and integration workflows across source systems, APIs, and databases. 
• Experience working in Agile/Scrum environments using Azure DevOps, Jira, or similar tools. 
• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
• Familiarity with AI-enhanced platforms is a plus.
• A solid understanding of AI capabilities and limitations including ethical considerations is expected.
• Must be open to travel (up to 25%, as needed).

ABOUT THE TEAM

Our Data & Analytics team drives cutting-edge innovation in digital transformation deployment globally and across industries. We partner with a diverse range of clients and support them at every stage of the data lifecycle—from curation and ingestion to management, analytics, and reporting. Our practice spans AI, Data Management, Content, Data Strategy, and more. From building modern data platforms to applying machine learning and generative AI, we help organizations unlock deeper insights, automate decision-making, and drive smarter outcomes. In our collaborative, fast-paced environment, you’ll work with industry-leading tools and technologies, tackling real-world challenges and delivering impactful solutions that shape the future of digital transformation.  

ABOUT PERFICIENT

Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com. 

ADDITIONAL INFORMATION

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. 

Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. 

Applications will be accepted until the position is filled or the posting is removed. 

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $160,400 to $208,400. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview. 

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Disclaimer:  The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification.  Management retains the discretion to add or change the duties of the position at any time. 

Business Analysis Key Responsibilities

• Lead business discovery and requirements gathering meetings with business SMEs
• Define and manage the product roadmap, backlog, and priorities for a custom-built MDM platform.
• Gather and translate business requirements related to customer, vendor and product master data into user stories and acceptance criteria.
• Partner with Data Governance, Data Stewardship, and business teams to establish data standards, business rules, approval workflows, data quality controls, and matching/merging processes.
• Collaborate with architects, developers, and integration teams to deliver MDM capabilities, APIs, workflows, and data synchronization across enterprise systems.
• Lead UAT meetings with business stakeholders and monitor product performance, data quality metrics, and user feedback to continuously enhance the platform.

Data Analysis Responsibilities

• Perform hands-on data analysis using SQL to understand how various domain data is stored within the MDM database and related downstream systems.
• Analyze source-to-target data flows, data lineage, data transformations, and enrichment processes.
• Partner with developers and data engineers to troubleshoot data quality issues and identify root causes across source systems, integrations, APIs, and MDM processes.
• Create and execute SQL queries to validate business requirements, perform impact assessments, and support user acceptance testing.
• Validate third-party data enrichment services and APIs, including providers such as Dun & Bradstreet. Use tools such as Postman to explore API capabilities, test requests and responses, and articulate external integration requirements at the detail attribute level. 
• Work with integration teams to ensure proper ingestion, mapping, transformation, and persistence of enrichment data. 
• Assess data quality, coverage, and business value of external data providers and make recommendations for enhancements to enrichment strategies.