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 TeamWant 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 RoleTake 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 developersLead your team in designating the main effort from among competing team prioritiesLead and mentor team of Machine Learning Engineers, Software Engineers, DevOps Engineers, and Data ScientistsDevelop roadmaps and metrics for the team and broader organizationIdentify and remove roadblocks for your team’s successBuild strong relationships with partner teams both upstream and downstream of your dependencies to achieve business goalsAbout YouBasic Qualifications for DirectorAdvanced Degree in a field like computer science, statistics or operational research7+ years of hands-on technical experience in a machine learning engineering role or equivalent7+ years management experience building and leading software or data science teamsTrack record of guiding teams through unstructured technical problems to deliver business impactSkilled at running cross-functional relationships and communicating with leadershipExperience in industry tooling (AWS, Kafka, K8s, Python Notebooks, ML Orchestration, etc)Basic Qualifications for Sr. ManagerAdvanced Degree in a field like computer science, statistics or operational research7+ years of hands-on technical experience in a machine learning engineering role or equivalent5+ years management experience building and leading software or data science teamsTrack record of guiding teams through unstructured technical problems to deliver business impactSkilled at running cross-functional relationships and communicating with leadershipExperience in industry tooling (AWS, Kafka, K8s, Python Notebooks, ML Orchestration, etc)Other Qualifications:Strong understanding of ML Ops / DevOps / CloudOpsRelevant experience shipping productsStrong software development skillsStrong understanding of data and/or ML fundamentalsStrong understanding of software engineering best practices and ability to think across layers of the stackStrong communication and interpersonal skillsExperience developing in ML languages and toolkits such as Python notebooksWorkday Pay Transparency Statement - United States The annualized base salary ranges for the primary location and any additional locations in the United States (US) 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.GA.Atlanta Primary Location Base Pay Range: $190,400 - $285,600 Additional US Location(s) Base Pay Range: $180,900 - $330,000Our 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!
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