Microsoft Principal Technical Program Manager 

Taiwan, Taoyuan City 

965561819

As a

Required Qualifications:

• Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.
• 2+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
  
• 3+ years of experience building large-scale personalization and recommendation systems for content, advertising, or similar domains.

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.

• Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
    
• 8+ years of experience managing cross-functional and/or cross-team projects.
  
• 3+ year(s) of experience writing code (e.g., product demos, ad-hoc analysis using SQL, Kusto, Python etc.).
  
• Experience with high-scale, data-intensive systems, especially in advertising technology (Azure data stack knowledge is a plus or other big data platforms).
  
• Expertise with AI/ML recommendation systems at scale.
  
• Proven ability to drive metric-and-impact driven outcomes.

• Lead and deliver complex, cross-functional technical programs that drive value for the Microsoft Ads business.
• Set vision and strategy for technical programs, ensuring alignment with business goals and long-term impact.
• Partner with multiple engineering teams to design and implement scalable solutions across multiple feature areas.
• Define success criteria, track project schedules, and ensure alignment across business and technical stakeholders.
• Drive execution of roadmap items, including staging, implementation, and governance for multiple feature groups.
• Identify and resolve project dependencies and blockers, proposing solutions to keep initiatives on track.
• Identify, communicate, and mitigate risks at scale, ensuring program success.
• Apply a metric-driven approach to measure impact and continuously improve processes and outcomes.
• Conduct thorough reviews of data analysis, modeling techniques, and identify new evaluation methods.
• Update internal best practices for data collection and preparation, and contribute to data integrity conversations
• Lead programs across global, distributed teams and manage cross-geo execution.
• Champion a culture of quality, rigor, and truth-seeking—ensuring solutions are robust, scalable, and grounded in data and facts.