Senior Manager - Machine Learning and Data Engineering

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

Calling all data engineering innovators!

Are you passionate about pioneering Machine Learning (ML) and its potential to revolutionize data products? Do you thrive in a fast-paced, collaborative environment? If so, Workday's ML team wants you!

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 multi-functional and dynamic environment. You'll lead a team of software engineers and collaborate with product and engineering teams. As a leader you'll establish relationships and partner 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!

Your Mission: Lead our Data Platform Team, driving innovation in data ingestion and management within our secure machine learning development environments. You'll oversee large-scale data ingestion pipelines, bringing to bear technologies like Kafka, Flink, Spark, and AWS. Your expertise will ensure seamless data flow, security, and compliance.

Why Workday?
- Work-Life Balance: We believe in a healthy balance between work and personal life.
- Financial Stability: Join a market leader recognized for its stability and growth.
- Best Company Culture: Experience an encouraging and collaborative environment where innovation thrives.

About the Role

What You'll Do:

• Lead the Charge: Guide your team in taking on complex technical challenges, delivering high-quality solutions that power our ML-driven products.

• Build and Optimize: Design and run robust data ingestion pipelines, ensuring data integrity and security at scale.

• Collaborate: Partner with product teams, data scientists, and engineers to drive innovation and deliver exceptional results.

• Mentor and Encourage: Foster a culture of technical excellence, empowering your team to reach new heights.

About You

Basic Qualifications:

• 7+ Years of Experience: Consistent track record in software or data engineering, with 5+ years in a leadership role.

• Technical Expertise: Hands-on experience with large-scale data platforms (Kafka, Flink, AWS (and other clouds), Spark, etc.).

• Data Security Champion: Deep understanding of data security, compliance, and regulatory requirements.

• Leadership and Vision: Ability to inspire and guide teams, driving technical roadmaps and delivering business impact.

Other Qualifications:

• ML Enthusiast: Experience in a machine learning or AI-driven organization.

• Distributed Systems Specialist: Expertise in leading streaming data pipelines at scale.

• Operations: Strong understanding of ML Ops / DevOps / CloudOps

Ready to make your mark on the future of data engineering? Join Workday's ML team and build the data-driven world of tomorrow!

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!