Senior Manager, Data Engineering - ML/AI

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 One of Workday's most critical teams, The Data Engineering Platform is responsible for building hundreds of ML applications. We aspire to make any data extractable and explorable, easily, for building many ML, AI and Data Insight features, to be embedded in Workday Apps and products. The goal includes scale, resiliency, privacy, security, compliance, and governance, which are all at the foundation of what we do. We enjoy the challenges of re-imagining a modern infrastructure to handle our ever growing scale.

About the Role

Calling all data engineering leaders!

Are you passionate about cutting-edge Machine Learning and its potential to revolutionize data products? Do you thrive in a fast-paced, collaborative environment? If so, our team wants you!

Your Mission:

• Own the Charge: Lead our Data Platform Team, driving innovation in data ingestion and management within our secure machine learning development environments.

• Build and Optimize: Design and oversee large-scale data ingestion pipelines, ensuring data integrity and security.

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

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

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 You

Basic Qualifications

• Proven experience (8+ years) in data engineering, data management, or a similar role with 4+ years leadership experience in managing teams (7+) a mix of managers, data engineers, software development engineers and more

• Deep technical experience; architecture-level strength in designing data platforms that meet business objectives in collaboration with a strong technical team

• Strong understanding of data governance principles, data quality management, data lifecycle, security, and compliance

• Experience building pipelines using large-scale data technologies such as Kafka and Spark on cloud platforms

Other Qualifications

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

• Knowledge of AI/ML technologies such as GenAI , information retrieval (IR), recommender systems, query understanding and intent AI, LLMs, relevance AI, image and language understanding

• Expertise in managing streaming data pipelines at scale

• Experience in of MLOps / DevOps / CloudOps

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!