Microsoft Technical Program Management 

Czechia, Prague, Prague 

460047953

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.• Bachelor's Degree and proven experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.

• experience managing cross-functional and/or cross-team projects, including securing buy in, driving accountability and delivery OKR-measured results both as an individual and within a team.

• Excellent written and oral communication skills at all organization levels

• Experience with cloud infrastructures like Azure or AWS

• Experience with reporting and data analysis systems & platforms (e.g., Power BI, SAP, etc.).

Drive divisional thinking on reliability and resiliency and be seen and be recognized a leader in this and incident management space. You will drive improvement across IDNA but also do this in partnership with other MS Security partners, Azure, and M365. • Use Data to Drive Analytic and Program Insights. Collect performance metrics and KPIs to identity opportunities for reliability and resiliency improvement and to surface business objectives and key results (OKRs). Mine data sources and develop data visualizations that drive decisions in strategy and program execution. • Develop & Execute Program Strategies. Use data and insights to develop a program strategy and execute program plans through all stages of initiating, planning, executing, monitoring/controlling, and closing. Clearly Identity and communicate risks and challenges and work tirelessly to overcome program blockers. Partner with engineering counterparts to deliver technical solutions to reliability and resiliency issues. • Drive Process Innovation & Learning. Leverage cross-organizational learnings and partner with engineering teams to Identify opportunities, write requirements for and driving implementation of automated and Artificial Intelligence solutions. • Conduct Stakeholder Engagement. Build, develop and maintain highly collaborative and effective working relationships with key stakeholders to foster cooperation and continuous feedback loops.