Job title: Director of Data
Company: Microsoft
Job description: Microsoft Azure is looking for a Director of Data to lead a high-performing team of data engineers and data scientists in building scalable, high-impact data solutions. This role is instrumental in shaping Azure’s data strategy, optimizing customer experiences, and driving business growth through data-driven product innovation. You will work closely with global teams, including product managers and engineers, to develop and leverage data insights that directly inform product decisions, feature development, and user experiences. As part of the Azure Experiences & Ecosystems (AX&E) team, you will play a critical role in enhancing Azure’s platform by delivering user-centric, data-driven features and ensuring seamless interactions for customers.As the Director of Data, you will lead and mentor a multidisciplinary team in designing and delivering data-driven solutions that fuel Azure’s growth and customer satisfaction. In working closely with product managers, designers, and engineers you will help translate data insights into impactful product improvements, and present technical insights as well as strategic recommendations to both technical and non-technical stakeholders, empowering informed decision-making across the organization. Join us in the endeavor of leading the cloud computing industry by identifying opportunities to enhance Azure’s offerings for our growing customer base.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.Responsibilities:
- You will develop and implement data strategies aligned with Azure’s business goals and customer needs.
- You will design and deploy real-time monitoring systems and dashboards to track product health, identify trends, and generate actionable insights.
- You will establish and track key performance indicators (KPIs) in collaboration with product and engineering teams to measure feature impact and business success.
- You will ensure data integrity, security, and compliance with industry best practices while advocating for responsible AI implementation, data privacy, and security best practices.
- You will leverage machine learning and predictive modeling to anticipate customer behaviors, feature adoption patterns, and market trends, enabling more effective product decision-making.
- You will define success metrics, conduct A/B testing, and perform pre/post analyses for feature launches to ensure data-driven validation of product decisions.
Qualifications:Required Qualifications:
- Doctorate in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years of people management experience in data engineering, and data science.
- Experience in designing and managing large-scale data pipelines, distributed systems, and data analytics solutions that support product development.
- Hands-on proficiency with technologies such as Azure, SQL, PySpark, Python, C#, Hadoop, Apache Spark, Delta Lake, and CI/CD pipelines.
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:
- Deep knowledge of AI ethics, data privacy, and compliance standards.
Experience in product analytics, A/B testing, and using data to refine product experiences. * Demonstrated ability to lead high-impact projects and foster cross-team collaboration.
- Experience in fleet/inventory management, telemetry, IoT, or similar domains is a plus.
- 7+ years people-management experience.
Data Science M6 – The typical base pay range for this role across the U.S. is USD $161,600 – $286,200 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 $209,600 – $314,400 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until March 28, 2025Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the .#azurecorejobs#MSFTNSBE25
Expected salary: $161600 per year
Location: USA
Job date: Fri, 11 Apr 2025 07:56:04 GMT
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