Director / Sr. Manager, Machine Learning and Cloud Ops

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.

About the Team

Want to join a fast paced data science team focused on applying cutting edge Machine Learning (ML) to build personalized and smart data products? Want to build data science best practices that radically improves time to market for ML products? Do you enjoy applying ML to Enterprise SaaS products? Plus, would you like the work life balance and financial stability of a market leader named in Best Companies to Work For by Fortune? The Workday ML team offers a unique opportunity with all these!

At Workday, the ML team builds ML services that power our data products across HR, Finance, Planning, Recruiting, Learning, Search, and more. We are looking for a leader with the ability and experience to help succeed in a cross-functional and dynamic environment. You will be leading a team of software engineers and collaborate with product and engineering teams. As a leader you will be building relationships and partnering with product and operational teams. You will be expected to navigate between complex technical topics and strategic problems to deliver business impact. If you’re sharp, collaborative, resourceful, and can communicate complex ideas with ease, then we’d like to talk to you.

About the Role

• Take part in all phases of the ML software development lifecycle, including requirements analysis, data selection, methodological exploration, technical design, software construction, quality assurance, and integration with the Workday ecosystem.

• Scope and craft new machine learning products and features in conjunction with product management.

• Participate in the agile development process, including scheduling and estimation of machine learning software project tasks.

• Lead and coach managers and senior software developers

• Lead your team in designating the main effort from among competing team priorities

• Lead and mentor team of Machine Learning Engineers, Software Engineers, DevOps Engineers, and Data Scientists

• Develop roadmaps and metrics for the team and broader organization

• Identify and remove roadblocks for your team’s success

• Build strong relationships with partner teams both upstream and downstream of your dependencies to achieve business goals

About You

Basic Qualifications for Director

• Advanced Degree in a field like computer science, statistics or operational research

• 7+ years of hands-on technical experience in a machine learning engineering role or equivalent

• 7+ years management experience building and leading software or data science teams

• Track record of guiding teams through unstructured technical problems to deliver business impact

• Skilled at running cross-functional relationships and communicating with leadership

• Experience in industry tooling (AWS, Kafka, K8s, Python Notebooks, ML Orchestration, etc)

Basic Qualifications for Sr. Manager

• Advanced Degree in a field like computer science, statistics or operational research

• 7+ years of hands-on technical experience in a machine learning engineering role or equivalent

• 5+ years management experience building and leading software or data science teams

• Track record of guiding teams through unstructured technical problems to deliver business impact

• Skilled at running cross-functional relationships and communicating with leadership

• Experience in industry tooling (AWS, Kafka, K8s, Python Notebooks, ML Orchestration, etc)

Other Qualifications:

• Strong understanding of ML Ops / DevOps / CloudOps

• Relevant experienc