Senior Technical Program Manager

Reposted 3 Days Ago
Be an Early Applicant
Zürich, CHE
In-Office
146K-246K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Leads global process optimization, tooling modernization, automation, and AI adoption across cloud interconnection and network fiber operations. Maps workflows, improves data quality, integrates Microsoft-based systems, designs Copilot agents, supports AI deployment and monitoring, and drives responsible AI change management. Partners with sourcing, engineering, operations, data science, and regional stakeholders to deliver scalable solutions, training, documentation, and measurable operational improvements.
Summary Generated by Built In
Overview
Process and Tooling Team Introduction

Cloud Interconnection & Acquisition | Network Fiber

Who We Are

We are the Process and Tooling team supporting CIA Network Fiber, focused on simplifying how teams plan, source, deliver, and manage fiber work across regions. Our team partners closely with sourcing, delivery, engineering, operations, GIS, and regional stakeholders to turn complex workflows into clear, scalable processes and practical tooling solutions.

Our Mission

Our mission is to create consistent, efficient, and repeatable ways of working that reduce manual effort, improve visibility, and help teams move fiber programs forward with greater speed and confidence. We focus on standardizing processes, improving tool adoption, clarifying ownership, and enabling better decision-making through reliable data and well-defined workflows.


Responsibilities

Responsibilities:

We are seeking a Technical Program Manager to drive process & tooling optimization and automation, primarily focused on AI driven improvements to accelerate transformation across global cloud and network operations.

This role sits at the intersection of business process optimization, AI adoption, tooling, and intelligent automation engineering. You will lead the identification, development, and scaling of AI powered capabilities, process improvement and tooling requirements —embedding Copilot, automation, and predictive analytics into operational workflows to improve speed to market, data quality, cost efficiency, and decision making.

The ideal candidate thrives in complex, matrixed environments, can move seamlessly between strategy and execution, and delivers measurable impact through responsible, scalable AI solutions.

 

Key Responsibilities - Process Optimization, Tooling & Automation with Focus on AI

  • Map, analyze, and optimize end-to-end operational processes across network sourcing, inventory, planning, fiber lifecycle, and engineering workflows.
  • Eliminate friction, standardize practices, and reduce cycle times using AI enabled automation.
  • Partner with CIA and our partner teams to ensure integrated, scalable tooling solutions aligned to business priorities.
     

    AI, Data & System Integration

  • Strengthen data quality, interoperability, and automation across network and operational tools.
  • Enable AI powered data cleansing, reconciliation, forecasting, and predictive modeling.
  • Support system modernization initiatives to ensure platforms are AI‑ready and interoperable.
  • Act as a connector between business owners, engineering teams, and AI/data science resources.
  • Design, develop, and deploy agents and agent flows that support operational workflows.
  • Translate repeatable patterns into scalable, automated solutions.
  • Ensure AI solutions are reliable, maintainable, secure, and aligned with engineering best practices.
  • Integrate automation solutions with existing systems and Microsoft platforms.
  • Support deployment, monitoring, and continuous improvement of AI and automation solutions in production environments.
  • Contribute to technical documentation, operational readiness, and knowledge sharing.
  • Lead AI change management efforts to drive AI literacy and adoption across teams.
  • Develop training, documentation, and communications that accelerate responsible AI usage.
  • Foster an AI first, growth mindset culture grounded in Microsoft’s Responsible AI principles, security, and governance standards.

Qualifications

Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Data, Telecommunications, Finance, or related field AND some experience in these fields OR equivalent experience
  • Some experience managing cross-functional and/or cross-team projects

Preferred Qualifications:

  • Some experience in cloud, data center, or large‑scale network environments.
  • Solid experience in program management, process improvement, automation, or operations.
  • Hands‑on experience with AI tools, including Copilot and/or Copilot Studio.
  • Experience developing automation or analytics solutions using Python or similar languages.
  • Strong understanding of network or infrastructure lifecycles.
  • Advanced proficiency in Microsoft Office, including Excel with financial or operational data.
  • Proven ability to influence across highly matrixed organizations.
  • Strong analytical mindset with the ability to translate data into actionable insights.
  • Excellent communication, documentation, and stakeholder management skills.
  • Experience designing and implementing Copilot agents and agent flows, including prompt design.
  • Familiarity with Azure services, Kusto queries, APIs, or enterprise data platforms.
  • Experience with Lean, Six Sigma, or value‑stream mapping.
  • Understanding of carrier networks, fiber delivery, or outside plant engineering.
  • PMP or equivalent certification.
  • Experience with Microsoft Dynamics or similar enterprise systems.
  • Familiarity with AI readiness assessments or enterprise AI frameworks.


Technical Program Management IC4 - The typical base pay range for this role across Switzerland is CHF 146,200.00 - CHF 245,900.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/switzerland-corporate-pay.html


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Data, Telecommunications, Finance, or a related field, plus experience in these fields; equivalent experience may qualify.
  • Some experience managing cross-functional or cross-team projects.
  • Experience in cloud, data center, or large-scale network environments.
  • Experience in program management, process improvement, automation, or operations.
  • Hands-on experience with AI tools, including Copilot or Copilot Studio.
  • Experience developing automation or analytics solutions using Python or similar languages.
  • Understanding of network or infrastructure lifecycles.
  • Advanced proficiency in Microsoft Office, including Excel with financial or operational data.
  • Ability to influence across highly matrixed organizations.
  • Strong analytical skills and ability to translate data into actionable insights.
  • Excellent communication, documentation, and stakeholder management skills.
  • Experience designing and implementing Copilot agents and agent flows, including prompt design.
  • Familiarity with Azure services, Kusto queries, APIs, or enterprise data platforms.
  • Experience with Lean, Six Sigma, or value-stream mapping.
  • Understanding of carrier networks, fiber delivery, or outside plant engineering.
  • PMP or equivalent certification.
  • Experience with Microsoft Dynamics or similar enterprise systems.
  • Familiarity with AI readiness assessments or enterprise AI frameworks.

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

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