Microsoft's Cloud business is experiencing explosive growth, and the Capacity, Supply Chain & Provisioning (CSCP) organization is responsible for enabling the infrastructure underlying this growth. Our mission is to deliver the world's computer with an industry-leading supply chain. CSCP is responsible for strategic sourcing, customer demand forecasting, capacity planning and management, supply chain planning and execution, capacity provisioning, and decommissioning and dispositioning of datacenter assets worldwide.

Do you get excited about solving difficult supply chain and operations management problems with software solutions in a critical area for Microsoft?

Are you passionate about deeply understanding your customers and competition to build your product strategy and roadmap? Do you like to dig deeper into quantitative and qualitative data to identify and prioritize new product capabilities? Are you excited about championing your product roadmap and customer value to a variety of audience? If so, we are looking for a Senior Product Manager.

We have an exciting opportunity in the CSCP Strategy and Transformation Engineering team for a proven Senior Product Manager to help the next generation systems that will help us predictably delivering customer capacity on time while optimizing investments Microsoft is making into cloud services.

Qualifications

Required Qualifications

• Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development
  • OR equivalent experience.
• 5+ years of experience leading product management and/or implementing supply chain systems.

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

• Masters degree in a quantitative field.
• Demonstrated data analysis skills leveraging SQL, Power BI, Kusto, Python, or R.
• Demonstrated leadership skills-proven in creating clarity, generating energy, and delivering success.
• Proven success in collaborating across engineering, business, data science, and operational teams, up to and including working with director level stakeholders.
• Ability to quickly learn existing concepts and employ new techniques.

Product Management IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Responsibilities

As a Senior Product Manager, you will be responsible for the following:

• Own program management accountability to define and launch the product capabilities that drive the desired business outcomes.
• Engage with customers and partners to deeply understand the requirements and develop the product roadmap to address those needs.
• Break ambiguous and complex problems into a manageable list of epics and features with clearly articulated specs.
• Closely partner with the software engineering teams to land key product capabilities and business goals.
• Proactively identify critical risks to the product roadmap and KPIs and mitigate those risks by working across all the teams.
• Continuously engage with customers, partners, and leadership to provide updates on product roadmap and collect actionable feedback.
• Identify critical data and telemetry required to optimize the product functionality, and work with engineering teams to grow the required data footprint.
• Manage metrics, dashboards, and analytics that track the performance of the product capabilities against the goals and optimize the product functionality to drive the right performance.
• Perform rich analysis and develop actionable insights using a variety of data sets.