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Microsoft Master Data Program Manager 
United States, Washington 
49658977

13.08.2024

Required Qualifications:

  • Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.
  • 2+ years experience managing cross-functional and/or cross-team projects

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • 2 + years of experience working with Systems, Applications, and Products in Data Processing (SAP) master data governance and supply chain management.
  • 2 + years of experience working with Master data in structured and integrated with other systems.
  • 6+ years experience managing cross-functional and/or cross-team projects.
  • 1+ year(s) experience reading and/or writing code (e.g., sample documentation, product demos).
  • Experience with SAP master data governance design (MDG) and implementation

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until August 17, 2024.


Responsibilities
  • Partners with Software and Hardware Engineering to drive and deliver data driven improvements and capabilities.
  • Collaborates with architects and technical partners to develop feature and capabilities inline with our overall architecture.
  • Works with internal and external technical partners and/or architects to represent technical solutions to customers.
  • Defines the program(s) deliverables and prioritization for the multiple feature areas (e.g., product, service) they own.
  • Translates the needs of the organization and other teams into program deliverables and prioritized deliverables based on data-focused analysis.
  • Engages in active risk management (proactive and reactive) to identify risks and propose mitigations for risks using data (e.g., telemetry, usage, net satisfaction, customer satisfaction).
  • Defines success criteria and performance metrics (e.g., Objectives and Key Results [OKRs], Key Performance Indicators [KPIs] such as quality and performance) of multiple feature areas (e.g., product, service) and works with Software and Hardware Engineering to ensure needed telemetry is developed.
  • Understands the return on investment and presents it to key stakeholders.
    • Embody our