Sr. Engineering Manager - Analytics AI&ML

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

The Data Platform and Observability Engineering team, located in Pleasanton, CA; Boston, MA; Atlanta, GA and Dublin, Ireland, is vital to enabling real-time insights across Workday’s platforms, infrastructure, and applications. We're committed to developing large-scale distributed data systems that support crucial Workday applications.

Our team provides software for the collection, ingestion, storage, analytics, and visualization of critical data assets. We manage hundreds of terabytes of data, encapsulating billions of messages produced daily by Workday applications and services.

We are looking for an Analytics leader who has a mix of business, product and technical skills. This leader has the opportunity to build amazing data products by leveraging vast repositories of Operational product & observability data. If you have a talent for finding actionable insights in large data sets and the business intuition to transform insights into strategic opportunities, we would love to hear from you.

About the Role

• Develop internal data products by finding opportunities and taking the initiative to build such products

• Construct foundational analytics tables with a canonical schema that power a majority of the analytics use cases.

• Lead the development of AI/ML based correlation engine solutions for service outage detection

• Drive the evolution of our data platform from traditional analytics to AI/ML-powered insights

• Design and implement sophisticated correlation engines to identify relationships between disparate data sources and enable root cause analysis

• Develop robust anomaly detection systems using ML algorithms to identify unusual patterns and potential issues before they impact business operations

• Build a best-in-class self-service platform that powers advanced analytics and ML use cases.

• Manage cross-functional projects, using advanced data modeling and analysis techniques to generate insights for strategic decisions and optimization opportunities.

• Innovate on next-generation ML and AI platforms by leveraging existing data to uncover new opportunities.

• Evaluate and implement new open-source and cloud-native tools and technologies as needed.

About You

Basic Qualifications:

• 5+ years of experience building and directly managing impactful data science/analytics engineering teams

• 10+ years of experience with design and development building large scale distributed systems focused on analytics platform

• Bachelor's degree in a computer related field or equivalent work experience

• Proven track record of delivering high quality data products at scale

Other Qualifications:

• Bachelor's degree in a computer related field or equivalent work experience

• Proven track record of de