Microsoft Senior Product Manager - Data Analytics 

United States, Washington 

103834938

Required Qualifications

• Bachelor’s Degree AND 5+ years experience in product/service/project/program management or software development
  • OR equivalent experience.

• 3+ years experience in Power BI, SQL, and data modeling.

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

• Proficiency in Kusto query engine

• Proficienty in data modeling

• Passion for GPT/LLM technologies and their applications in data analysis

• Familiarity in the Technical Support industry and Technical Support-related KPIs
• Reliable collaboration, influence, and communications skills required to bring various partners together and unify their voices
• Ability to work across global teams that span geographies, org boundaries, matrixed environments, and product engineering
• Experience antipating data needs, and proactively meets and exceeds customer/partner expectations. Recognizes the issues that customers/partners want to resolve, and creates, or facilitates the creation of, products and services to address data needs

Microsoft will accept applications for the role until August 15, 2024.

• Working on ACE/AED Data Strategy w/ GPT/LLM technologies
  • Evolving the AED data strategy with LLM technologies
  • Anticipating business needs, particularly in the Monitoring & Observability space, and proactively enable stakeholders to make data-driven decisions for improvements as measured in our OKRs
  • Partnering with internal stakeholders to understand and deliver against our data needs including defining and building the Power BI and LLM solutions.

• Improving Data Quality and Unified Data Model for Azure Supportability vNext
  • Partnering with Data Science, Data Engineering and Supportability organizations across the Azure ecosystem to define a unified data model for Azure Supportability
  • Drawing E/R diagrams, and document KPI and taxonomy definition in a data dictionary
  • Strategize ways to unify and create consistency and insure quality of our data

• Be available for other duties as assigned.

• Other

  • Embody our