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.

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

About the Team

About the Role

We are seeking a highly skilled and experienced Individual Contributor to join our Product Legal and Data & Privacy Engineering team. As a Senior Program Manager, you will play a critical role in managing and executing strategic initiatives and programs impacting Workday’s Artificial Intelligence/Machine Learning products. Your responsibilities will include coordinating and driving cross-functional projects, ensuring alignment with organizational goals, and fostering collaboration across teams to achieve key objectives.

Responsibilities

• Work closely with cross-functional teams, including Machine Learning Engineering, Legal, Compliance, and Data Governance, to ensure the successful execution of projects, maintaining alignment with business objectives and timelines.

• Work with the Responsible AI Team to operationalize Responsible AI policies and procedures.

• Develop deep technical understanding of the foundational components of Workday’s machine learning architecture including infrastructure, APIs, third party services, etc.

• Investigate and understand evolving business and compliance needs from new machine learning technologies.

• Collaborate with Workday’s ML Engineers to brainstorm and prototype innovative solutions and engineering pipelines.

• Provide ad-hoc support to colleagues advising their business partners in the development of machine learning features.

• Act as the technical expert as needed to support external (customer or other independent 3rd party) evaluation of Workday’s machine learning practices against new or existing regulations, frameworks, or standards.

• Assist in the education and development of collateral supporting customer adoption of machine learning features.

• Ensure that data is obtained, processed, protected, and retained in compliance with Workday’s contractual agreements, internal policies and standards, and regulatory requirements.

• Perform assessments based on industry and regulatory frameworks and best practices to identify potential data risks - including those related to the confidentiality, integrity, availability, privacy, and security of data.

• Collaborate with business teams to assess legal, privacy, and data risks using industry / regulatory frameworks, and advising on technical and / or operational options to mitigate those risks.

• Create on-demand resources to empower Workmates with the information needed to anticipate and potentially prevent data and privacy risks.

• Represent Workday’s responsible innovation to customers.

About You

Basic Qualifications

• 6+ years of experience in an equivalent technology risk, corporate governance, product development, or compliance related role

• Degree or formal certification in Information Systems, Data Science, Computer Science, or other relevant quantitative or engineering field
   

Other Qualifications

• Understanding of Data Analytics, Data Science, Statistics, and/or Machine Learning methods and concepts including algorithm development and evaluation

• Familiarity with, or strong interest in, Responsible AI concepts such as fairness, transparency, human oversight, etc

• Strong program management skills with ability to plan and execute on various projects with minimal supervision.

• Demonstrates accountability in setting deadlines, delivering on project commitments, and resetting expectations when appropriate.

• Keen understanding of compliance-by-design and privacy-by-design principles and demonstrates the ability to educate others on potential solutions to complex problems.

• Demonstrates interpersonal skills in cultivating relationships amongst members of the Data & Privacy Engineering team as well as external business partners.

• Exhibits practical experience identifying, assessing, and advising on compliance / privacy risks or controls for new products and technologies.

• Adaptability and willingness to learn in an environment that is frequently changing.

• Familiarity with compliance reports, certifications and standards as they relate to Software as a Service and Cloud Computing, such as ISO 42001 and NIST AI Risk Management Framework.

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.

The application deadline for this role is the same as the posting end date stated as below:
 

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!