Principal Program Manager, Data & Privacy Engineering (AI)

Workday-posted 6 months ago
$166,100 - $249,100/Yr
Full-time • Senior
Hybrid • Boulder, CO
Publishing Industries
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We are seeking a highly skilled and experienced Individual Contributor to join our Product Legal and Data & Privacy Engineering team. As a Principal 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.

  • 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.
  • 10+ 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.
  • 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 Bonus Plan or a role-specific commission/bonus.
  • Annual refresh stock grants.
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