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Project Manager & Business Analyst – Master Data Management; MDM

Job in Austin, Travis County, Texas, 78701, USA
Listing for: Diverse Lynx
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, IT Business Analyst
Job Description & How to Apply Below
Position: Project Manager & Business Analyst – Master Data Management (MDM)

Project Manager & Business Analyst – Master Data Management (MDM)

Location:

Austin, TX OR Cupertino, CA (Client Location) – Hybrid

Experience:

5+ Years

Role

Summary:

We are seeking a hybrid Project Manager and Business Analyst to lead and execute Master Data Management (MDM) initiatives. This is a hands-on role responsible for managing end-to-end delivery while performing detailed data analysis to support future-state data capabilities.

Key Responsibilities:

  • Lead end-to-end project management for MDM initiatives using Agile/Scrum methodologies.
  • Perform current-state vs future-state gap analysis and assess business impacts.
  • Drive stakeholder alignment through workshops, governance forums, and executive status reporting.
  • Analyze data availability, structure, and quality; translate findings into clear requirements.
  • Define requirements for data integration, migration, transformation, and mapping.
  • Manage and participate in data validation, testing, and User Acceptance Testing (UAT).

Key Skill Set (Filtering Criteria):

  • Project Management (Agile / Scrum, Jira, Confluence).
  • Master Data Management (MDM) and Data Governance.
  • Business & Impact Analysis, requirements gathering.
  • Strong SQL and Python for data analysis.
  • Data profiling, data quality assessment, and KPI definition.
  • Experience with analytics platforms (Snowflake, Hadoop, or Spark).
  • BI tools such as Tableau, Thought Spot, or equivalent.
  • Strong communication and stakeholder management skills.

Contractor Expectations:

  • Own delivery of MDM initiatives from planning through deployment.
  • Work independently while collaborating across global stakeholder groups.
  • Deliver on time and within budget in complex data programs.
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