Director of Data

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.

• 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.