Microsoft Master Data Program Manager 

United States, Washington 

49658977

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.

• 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