Sr. Engineering Manager - Analytics AI&ML - #1405978

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Sr. Engineering Manager - Analytics AI&ML

Workday, Inc.

On-site

USA, CA, Pleasanton United States of America

Data Science

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 delivering high quality data products at scale
• Must be a self-starter i.e. find opportunities, build a business case and deliver.
• Must have experience with big data analytics tools such as Hadoop, Spark, SQL, Superset, Notebooks, Dbt etc
• Must have good coding/scripting skills (Java or Python ).
• Good storytelling abilities using data visualization tools( like Superset, Light dash, Looker etc.) that provide actionable insights.
• Public cloud experience(AWS/GCP). Experience with Infrastructure Automation.
• Ability to work with less supervision - must be able to chart their own course by aggressive goal setting, priorities, roadmap and vision.
• Strong written and verbal communication skills.
• Ability to prioritize multiple tasks in a fast-paced environment
  
  

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CA.Pleasanton

Primary Location Base Pay Range: $201,600 USD - $302,400 USD

Additional US Location(s) Base Pay Range: $170,200 USD - $302,400 USD

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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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