Microsoft TECHNICAL PROGRAM MANAGER II 

Taiwan, Taoyuan City 

973160142

Technical Program Manager II

our culture every day.

This role follows a, requiring.

Required Qualifications:

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

• 1+ year(s) of experience in technical program management, engineering, or data analytics.

Preferred Qualifications:

• Bachelor's Degree AND 4+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 4+ year of experience managing cross-functional and/or cross-team projects.
• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
• Experience with cloud platforms (Azure, AWS, GCP) and AI/ML tools.

• Strong analytical skills with experience in data modeling, visualization, and reporting (e.g., Power BI, SQL, Python).

• Proven ability to communicate across technical and non-technical audiences.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for this role until October 10, 2025.

Program Leadership & Strategy:

• Drive end-to-end program execution across engineering, data science, and business stakeholders to deliver scalable, AI-enhanced solutions.

• Identify and manage risk, lead change management efforts, and remove roadblocks ensuring high quality and on-time delivery.

• Define and manage technical roadmaps, sprint planning, and delivery milestones using agile methodologies and tools, like Azure DevOps (ADO).

• Translate business needs into clear, actionable requirements and success metrics (OKRs, KPIs), ensuring alignment with FD&E’s strategic goals.

AI & Data-Driven Innovation:

• Partner with engineering teams to integrate AI capabilities (e.g., generative AI, cognitive services, ML models) into data platforms, analytics tools, and applications.

• Champion and use telemetry, usage analytics, and customer feedback to inform product decisions and improve user experiences.

• Promote a culture of experimentation and continuous improvement. Encourage and drive within the team to develop creative solutions to complex problems.

Cross-Functional Collaboration:

• Build and maintain relationships with stakeholders within finance, engineering and business teams to ensure cohesive, customer-centric solutions.

• Lead change management, evangelization, and user education efforts to maximize adoption and impact of platforms and solutions.

Technical Execution & Governance:

• Architect right-sized solutions using modern cloud and data technologies (e.g., cloud data lakes, analytics platforms, visualization tools).

• Ensure delivery quality through robust documentation, support readiness, and continuous process improvement.

• Monitor product/service performance and drive improvements in supportability, compliance, and accessibility.

• Stay up to date with technologies and trends to ensure solutions delivered are cutting-edge and world-class.

• Embody our