Microsoft Director Data Analytics Science 

United States, Washington 

117278988

an experienced and dynamic Director of Data Analytics and Data Science to lead and grow our data-driven decision-making capabilities. This individual will oversee a team of 10 skilled data analysts, data scientists, and machine learning engineers, driving the strategic vision for our data analytics and science initiatives. The Director will play a pivotal role in shaping our data strategy, ensuring that our data analytics efforts align with business goals and deliver measurable impact across the organization.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 3+ years people-management experience.

Additional or Preferred Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 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, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 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, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 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 people-management experience.
• Proficiencywith data tools and technologies such as Python, R, SQL, and data visualization tools like Tableau or Power BI.
• Familiarityin implementing, analyzing, andoptimizingweb and application telemetry.
• expertisein data analytics, machine learning, and statistical modeling.

Data Science M5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Leadership and Strategy:

• Lead, mentor, and manage a team of 10 data professionals, fostering a collaborative and innovative team culture.

• objectives.

• Advocate for data-driven decision-making across the organization, promoting best practices in data analysis, modeling, and governance.

• Stay abreast of industry trends and advancements in data science and analytics, applying relevant innovations to the team’s work.

• Collaboration and Cross-Functional Partnership:

• Work closely with the Data Engineering team to ensure that data infrastructure supports the needs of analytics and modeling initiatives.

• Planningand other key business units toidentifyopportunities where data insights can drive business value.

• Partner with executive leadership to translate complex data analyses into clear, actionable insights and strategies.

• Lead the team in developing predictive models, customer segmentation, and other data-driven strategies to enhance marketing campaigns, sales efforts, and product development.

• Project Management and Execution:

• Oversee the design, implementation, and delivery of analytics projects, ensuring they are completed on time, within scope, and deliver impactful results.

• Prioritize and manage multiple projects simultaneously, balancing the needs of different business units with available resources.

• Ensure data quality, integrity, and security across all analytics projects, adhering to best practices in data governance.

• Performance Monitoring and Reporting:

• Establish key performance indicators (KPIs) to measure the effectiveness of analytics and data science initiatives.

• maintaindashboards, reports, and presentations that communicate insights to stakeholders at all levels of the organization.

• Regularly review and refine models, methodologies, and processes to ensure they continue to deliver value and drive business performance.