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.
Join our team in Fabric AI and Data Science, where you’ll help shape the future of AI and ML experiences on one of the fastest-growing data platforms in the industry. We work at the cutting edge—designing and delivering innovative solutions using the latest AI technologies to solve real customer problems. Our team operates with the agility of a startup, combining deep technical work with rapid iteration, all within a dynamic, high-impact environment. If you’re excited about driving meaningful change, working across disciplines, and being part of a team that’s defining what’s next in enterprise AI, this is the place for you.
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 Program 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 4+ years experience in engineering, product/technical program management, data analysis, or product development
• OR equivalent experience.
• 2+ years of experience managing cross-functional and/or cross-team projects.
• 1+ years of experience related to software development, preferably in ML/AI.
• 2+ years of experience in a role managing releases, quality requirements, or risk assessments for technical products.

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

• Familiarity with cloud platforms, data protection practices, and ML lifecycle tools is a plus.
• Experience with machine learning and AI technology
• Experience developing and testing computer software and/or online services.
• Analytical problem-solving skills to address complex problems and issues
• Ability to learn and adopt new technologies, tools, methods, and processes from Microsoft and the broader industry.
• Proven ability to create clarity, structure, and drive attention to detail in complex, ambiguous environments.
• Experience or interest in AI governance, security, Responsible AI practices, or compliance programs.
• Cross-team collaboration, communication, and stakeholder management skills.
  Technical Program 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 10, 2025.
  

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ai #ml #security #compliance #responsibleai

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

• Drive cross-functional programs focused on Responsible AI, compliance, and security for AI and data science capabilities across the Microsoft Fabric platform.
• Define and manage end-to-end quality and compliance processes, ensuring adherence to Microsoft’s compliance and security standards.
• Partner with product, engineering, and legal teams to ensure new features meet internal and external regulatory, ethical, and security requirements.
• Develop and maintain clear program plans, risk assessments, and readiness processes for AI and ML-powered experiences.
• Lead security reviews and quality gates for data science and AI features, coordinating fixes and
• Track and manage program milestones, risks, and dependencies with good attention to detail and a bias for action.
• Act as a liaison between engineering, governance, and external stakeholders to ensure responsible delivery of AI solutions.
• Addressing customer pain points and leveraging the opportunities to improve systems and processes
• Work across multiple feature areas (e.g., product, service) across divisional boundaries.
  Embody our culture and values