At a Glance
- Tasks: Lead innovative AI projects and transform finance processes with cutting-edge technology.
- Company: Join a Fortune 500 company shaping the future of work with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and a supportive environment for growth.
- Other info: Dynamic team culture focused on diversity, innovation, and community engagement.
- Why this job: Make a real impact in finance while working with passionate and driven colleagues.
- Qualifications: 12+ years in Workday Financials and experience with AI/ML implementations.
Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care.
About the Team
At Workday, we help the world's largest organizations adapt to what's next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and we're serious about what we do. But we like to have fun, too. We put people first, celebrate diversity, drive innovation, and do good in the communities where we live and work. The Workday on Workday team’s mission is to foster business and customer success through Workday and best-in-class Finance technology. Our team powers Document Intelligence AI and Workday's CLM and Contract Intelligence offerings. We build groundbreaking AI technology that can read and understand contract language to make every part of the deal-making process happen faster, better, with reduced risks. Our core principle is to cultivate empowered, diverse teams with the freedom to experiment, celebrate learning, and drive AI-powered innovation.
About the Role
The Delivery Lead for Workday Financials drives the deployment, adoption, and scaling of Workday's embedded AI, machine learning (ML), and agentic ecosystems. This role bridges the gap between financial transformation strategy and hands-on technological execution. You will lead cross-functional teams to automate traditional accounting workflows, deploy predictive financial forecasting tools, and architect custom AI solutions on the Workday platform. The ideal candidate will transform the finance function from a transactional hub into an autonomous, data-driven engine.
About You
Key Responsibilities
- Deploy Agentic Finance: Lead the end-to-end implementation of Workday's native AI agents and conversational interfaces to automate end-to-end finance processes.
- Scale Intelligent Automation: Architect scalable workflows using Intelligent Document Recognition (IDR) to ingest, categorize, and process unstructured contracts, invoices, and expense data.
- Serve as a Workday Financials subject matter expert, spanning design, configuration, testing, and implementation.
- Facilitate design workshops and solution discussions, translating business requirements into scalable Workday solutions aligned to best practices.
- Drive the technical solution design and integration strategy, ensuring seamless connectivity between Workday and external systems.
- Identify and manage dependencies across functional and technical workstreams.
- Lead, mentor, and oversee consultants and analysts, ensuring high-quality delivery and knowledge development.
- Act as a trusted advisor to business stakeholders, maintaining strong relationships throughout the project lifecycle.
- Perform hands-on configuration and technical activities.
- Communicate progress, risks, and updates clearly to project teams and senior stakeholders.
- Reinforce company policies, delivery standards, and best practices.
- Encourage a culture of team-driven decision making and commitment where appropriate, coaching the teams to improve collaboration and outcomes.
Basic Qualifications
- Workday Expertise: Minimum 12 years experience leading complex, large-scale Workday Financials implementations, with full-lifecycle experience on 5 or more implementations.
- Integrated Finance Ecosystem Design: Demonstrated experience integrating Workday with 3 or more third-party systems across at least 2 completed projects.
- Systems Implementation Lifecycle: Documented experience defining systems strategy, gathering requirements, designing/prototyping, testing, training, and establishing support procedures across 5 or more full-cycle implementations delivered on concurrent deadlines.
- AI/ML Deployment Track Record: Successful deployment of 2 or more automation tools, machine learning workflows, or AI-agent solutions within an ERP landscape.
- Data Strategy Certification/Experience: Verifiable experience structuring financial data models used to train AI models on at least 1 enterprise-scale initiative.
Other Qualifications
- Consistent track record leading complex, multi-functional technical initiatives in fast-paced environments.
- Deep mastery of Agile, Scrum, or hybrid project management methodologies.
- Exceptional ability to translate technical AI/engineering concepts into business value for finance executives and other non-technical stakeholders.
- Active Workday certification, or commitment to achieve required accreditation upon hire.
Director, Enterprise Applications employer: Workday
At Workday, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior Product Data Scientist, you will not only have the opportunity to drive impactful business decisions but also benefit from continuous professional development and a supportive environment that values your contributions. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a network of like-minded professionals, making Workday an exceptional place to grow your career.
