Role Overview
They will play a critical role in identifying, analyzing, and delivering AI-enabled business solutions that improve productivity, automate processes, enhance decision-making, and generate measurable business value. This role will partner with business stakeholders, delivery teams, architects, and vendors to translate business challenges into AI use cases and support the end-to-end delivery lifecycle from intake through production deployment.
The ideal candidate possesses experience delivering AI, Generative AI, automation, analytics, or digital transformation initiatives and understands how to bridge business needs with technical capabilities.
Key Responsibilities
AI Use Case Discovery & Analysis
- Facilitate workshops with business stakeholders to identify and prioritize AI opportunities.
- Gather, document, and validate business requirements for AI and automation initiatives.
- Analyze current-state processes and identify areas where AI can improve efficiency, reduce risk, or enhance user experience.
- Translate business challenges into clearly defined AI use cases, user stories, and functional requirements.
- Support business case development, value realization assessments, and ROI analysis.
AI Delivery & Solution Design
- Work closely with Solution Architects, Technical Leads, Data Teams, and Developers to design AI-enabled solutions.
- Create and maintain:
- Business requirements
- Functional requirements
- User stories
- Process flows
- Use cases
- Acceptance criteria
- Solution documentation
- Support the evaluation of AI technologies including:
- Generative AI
- Agentic AI
- Oracle AI Agents
- Microsoft Copilot solutions
- Workflow automation platforms
- Participate in solution reviews and design sessions to ensure business requirements are met.
AI Intake & Governance
- Work within the existing Project Intake process to ensure that the appropriate level of information is gathered for the assessment of any AI initiatives
- Support AI governance reviews including:
- Risk assessments
- Privacy reviews
- Security reviews
- Responsible AI evaluations
- Ensure required governance and compliance documentation is completed and maintained.
- Partner with security, legal, privacy, and architecture teams to address risks throughout the delivery lifecycle.
Agile Delivery Support
- Participate in Agile ceremonies including backlog refinement, sprint planning, demonstrations, and retrospectives.
- Manage and prioritize requirements throughout delivery.
- Support estimation activities and release planning.
- Track requirements traceability from intake through deployment.
- Collaborate with Product Owners and Program Managers to support successful delivery.
Business Readiness & Change Management
- Support user adoption activities and business readiness planning.
- Assist in the development of training materials, process documentation, and communications.
- Facilitate stakeholder engagement and change management activities.
- Collect feedback and identify continuous improvement opportunities.
Quality Engineering & Testing
- Collaborate with the Quality Engineering team to define test scenarios and acceptance criteria.
- Support system integration testing, user acceptance testing (UAT), and AI solution validation.
- Validate outputs from AI solutions against business requirements and expected outcomes.
- Assist with production readiness activities and post-deployment monitoring.
Required Qualifications
Education
- Bachelor’s degree in business, Information Technology, Computer Science, Engineering, or a related field.
Experience
- 5+ years of Business Systems Analysis experience.
- 2+ years of experience supporting AI, automation, digital transformation, analytics, or advanced technology initiatives.
- Experience eliciting and documenting complex business and system requirements.
- Experience working in Agile delivery environments.
Required Skills & Competencies
Business Analysis
- Requirements elicitation and management
- Business process modeling
- User story development
- Stakeholder management
- Process improvement
- Workshop facilitation
- Root cause analysis
AI & Technology
- Understanding of AI/Generative AI concepts and use cases
- Experience supporting AI, automation, analytics, or intelligent workflow solutions.
- Knowledge of AI delivery lifecycle and governance considerations
- Familiarity with prompt engineering concepts and AI solution evaluation
- Understanding of data, integrations, APIs, and enterprise application ecosystems
Delivery & Governance
- AI governance and risk awareness
- Agile delivery methodologies
- SDLC practices
- Testing and validation
- Change management
- Documentation and reporting
Preferred Qualifications
- Experience with Oracle Fusion Cloud Applications (ERP, HCM, SCM, Procurement)
- Experience supporting Oracle AI Agent Studio initiatives
- Experience with Microsoft Copilot, Copilot Studio, Power Platform, or Azure AI services
- Experience developing business cases and value realization frameworks
- Exposure to AI governance, Responsible AI, or security review processes
- Experience supporting enterprise-scale transformation programs
Success Measures
The successful candidate will:
- Deliver high-quality AI requirements and use cases.
- Successfully support AI initiatives from intake through production deployment.
- Identify opportunities that drive measurable business value through AI adoption.
- Ensure governance, compliance, and risk requirements are addressed.
- Build strong partnerships with business stakeholders and delivery teams.
- Contribute to the successful execution of the Corporate Applications AI Strategy.
Nice-to-Have Certifications
- CBAP or CCBA
- PMP or Agile Certification
- Certified Scrum Product Owner (CSPO)
- Oracle Fusion Fundamentals
- Microsoft AI Fundamentals (AI-900)
- Microsoft Power Platform Fundamentals (PL-900)
