Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
The Fabric Data Science team powers the AI and Data Science experiences in Microsoft Fabric—enabling customers to unlock business insights and enrich their data through seamless, end-to-end workflows. From productivity-boosting AI features like Copilot to advanced data science tooling, our mission is to make intelligent analytics accessible to everyone. Join us to help define the next generation of these experiences. You’ll work alongside a passionate, driven team of talented individuals in a fast-paced environment at the forefront of one of the most exciting and rapidly evolving fields in tech. It’s a unique opportunity to grow your career while shaping the future of AI in Fabric.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
We are looking for a Senior Product Manager to join our team.
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.

REQUIRED/MINIMUM QUALIFICATIONS

• Bachelor’s Degree AND 5+ years experience in product/service/project/program management or software development
• OR equivalent experience.
• 2+ years of experience in a customer-facing role of any capacity
• 1+ years of Data Science and AI experiences development

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/ADDITIONAL QUALIFICATIONS

• Experience with machine learning and AI technology, for example MLFlow,
• Kafka, Hive, Oozie, Spark, HDFS, ADB, DeltaLake.
• Experience with SQL (SQL Server, MySQL, Postgres) and NoSQL (Cosmos/MongoDB/HBase) database/
• Effective technical and functional design skills, with demonstrated ability to learn new technologies quickly
• Experience developing and testing computer software and/or online services.
• Analytical problem-solving skills to address complex problems and issues
• Product Management IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.
  Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
  Microsoft will accept applications for the role until May 15, 2025
  

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fabric #ai #datascience #ML #analytics

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

• As part of the Data science and AI team, you will be personally involved in leading, and defining requirements and features that enable our customers
• You will work closely with peers across teams to help build easy to use experiences to empower our users to be successful building ML and AI solutions
• A Senior Product Manager is accountable for capturing customer pain points, problem statements, business requirements, prioritizing the requirements, ensuring the solutions are delivered as per requirements, and aligned to the technology roadmaps, which support the business roadmaps and future business scenarios
• The Senior Product Manager will need to quickly establish the trust and confidence of our business partners by developing/demonstrating:
• Addressing the customer pain points and leveraging the opportunities to improve systems and processes
• Data-driven decisions through measuring and capturing business impact and deliver the right outcomes to the business
• Work across multiple feature areas (e.g., product, service) across divisional boundaries.