IT Lead Analyst - Workday AI Integrations
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
This role will be responsible for building new Workday Extend applications, enabling Workday AI capabilities, supporting Agent System of Record (ASOR) initiatives, and partnering with internal AI teams to connect enterprise LLM technologies with the Workday ecosystem.
The ideal candidate will possess a strong background in Workday Extend development, hands-on integration experience, and exposure to emerging Workday AI technologies. This individual must be highly self-directed, comfortable operating in an ambiguous and fast-paced retail environment, and capable of driving initiatives from concept through execution with minimal oversight.
Workday Extend Development (50-60%)
- Design, develop, test, and deploy new Workday Extend applications.
- Partner with HR, Finance, and business stakeholders to gather requirements and deliver custom solutions.
- Enhance user experience through custom application development and workflow automation.
- Support the full application lifecycle including architecture, development, testing, deployment, and ongoing optimization.
Workday AI & Agent Enablement (20-30%)
- Support implementation and adoption of Workday AI capabilities.
- Configure and enable Workday Agents and Agent System of Record (ASOR) functionality.
- Partner with internal AI engineering teams to integrate enterprise LLM platforms, including Gemini, with Workday.
- Support AI Gateway implementation, orchestration initiatives, and emerging Workday AI use cases.
- Participate in Workday early-adopter programs and AI innovation initiatives.
Integrations Leadership (20-30%)
- Design, develop, and maintain Workday integrations utilizing Studio, EIB, Core Connectors, and related integration technologies.
- Support data exchange between Workday and third-party systems.
- Troubleshoot integration issues and ensure data accuracy and reliability.
- Collaborate with technical and functional teams to support enterprise integration strategies.
Requirements
Do you have experience in Workday?, * 5+ years of Workday experience.
- Proven hands-on Workday Extend development experience.
- Experience building multiple Extend applications from design through deployment.
- Strong Workday integrations background.
- Experience with Workday Studio, EIB, and integration architecture.
- Exposure to Workday AI, AI Gateway, Agents, ASOR, Orchestration, or related technologies.
- Strong stakeholder engagement and requirements-gathering skills.
- Ability to work independently with limited direction., * Experience with Agent System of Record (ASOR).
- Experience with Workday AI Gateway.
- Experience integrating enterprise LLM platforms such as Gemini.
- Participation in Workday AI early-adopter programs.
- Retail industry experience.
- Experience leading enterprise-scale Workday initiatives
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- Dental insurance
About the company
Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on indeed.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Making Data Warehouses Fast: A Developer’s Story
Dev Digest 132 - Binging WADFlix?
How to Become an AI Engineer
Navigating the AI Shift