Overview
Microsoft's Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP's vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries.
Within CSCP, the Spares Supply Chain organization is reinventing and transforming the cloud service parts supply chain. Our goal is to ensure the right spare parts are in the right place at the right time to support global capacity requirements and make sure our customers have the cloud capacity they need when they need it.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#CSCP #CSCPJobs
Responsibilities
We are seeking an experienced and hands-onDirector, Data Analytics,who will be responsible for strategy, backlog management and collaborating with a broad cross-discipline team.We need apeople manager who fosters an inclusive culture and growth mindset.You willpartner effectively with teams across Microsoft to designholisticsolutions requiring technical depth to balance multiple technology options. Lead the analytics function for spares supply chain, driving insights that drive supply chain and operations decisions Set the vision, drive prioritization, and guide technical approaches for leveraging data across all of Spares Supply Chain to identify and pursue the right business opportunities. Utilize Azure Data technologies to revolutionize data analytics growth within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation. Develop and manage relationships with program and business leaders across the organization to understand objectives and identify opportunities. Collaborate closely with other Microsoft Data Analytics and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs. Create and maintain a data analytics roadmap. Run sprint/quarter/semester planning and foster cross-team collaboration to deliver complex projects. Develop and deploy Business Intelligence solutions to measure performance, identify trends, and enable data-driven decisions across the spares supply chain ecosystem. Oversee development and enhancement of analytics solution. Recruit, mentor, and lead a high-performing analytics team focused on operational excellence and innovation. Establish success measures that set a high bar of achievement for our organization and drive accountability through our team and partners Ability to communicate technical concepts and quantitative analysis in a clear, precise, and actionable manner to non-technical audiences
Qualifications
Bachelor's Degree in Analytics, Engineering, Computer Science or related field AND 15+ years technical experience in data analysis and reporting, coding languages, business intelligence
OR Master's degree in Analytics, Engineering, Computer Science or related field AND 12+ years experience in data analysis and reporting, coding languages, business intelligence OR equivalent experience.
- 5+ years of product and/or program management across an impactful portfolio of projects & stakeholders.
- 5+yearscustomer-facing, project-delivery experience, professional services, and/or consulting experience.
- 5+ years of demonstrated experience working in a data intensive environment and translating business needs into data requirements (experience with Microsoft Azure stack, SQL, Python, Azure Databricks, Synapse, Power BI, Fabric, Machine Learning and AI).
- 5+yearspeople-management experience build & grow teams.
- Demonstratedexpertiseinbuilding, evolving and leading complex data platforms.
- Worked on Business Intelligence problems and have deep knowledge of backend databases, delivering high impact reports to stakeholders, building statistical models to solve real business problems
Preferred Qualification
- Strong business acumen to identify projects that align with overall strategy and leverage data insights for strategic goals.
- Skilled in delivering engaging presentations to all organizational levels.
- Self-motivated with a growth mindset and commitment to continuous learning.
- Proven ability to foster a diverse, inclusive, and collaborative team culture.
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. 
