Digital AI Product Analyst
Skills
Computer ScienceDevopsAcceptance TestingBusiness AnalyticsLean Six SigmaProduct RequirementsReadiness
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience eliciting analyzing documenting validating and translating business requirements for software data digital AI automation or technology implementation initiatives
- Experience translating stakeholder needs into epics features user stories acceptance criteria process flows functional requirements data requirements and development-ready documentation
- Experience applying Agile methodologies and supporting backlog refinement sprint planning user-story development defect management release planning and epic tracking
- Experience using Jira GitLab or similar product-development platforms to manage requirements user stories defects dependencies releases and delivery activities
- Experience performing data analysis to define validate and document business logic key metrics data requirements testing outcomes and product-performance measures
- Ability to write and execute SQL queries against large datasets to validate requirements investigate issues assess data quality and support testing
- Experience coordinating user acceptance testing including test scenarios test cases expected results test data defect documentation retesting and business approval
- Experience supporting production deployment business readiness release coordination stakeholder communication operational transition and release management
- Strong understanding of the product and software-development lifecycle including design requirements development testing deployment adoption operations and value realization
- Ability to analyze business processes and identify opportunities for AI automation digital workflow data system or process improvement
- Experience partnering across business product design architecture engineering data AI platform operations and vendor teams to align requirements priorities testing and delivery decisions
- Strong communication analytical thinking structured problem-solving and attention to detail with the ability to independently manage multiple priorities and resolve complex product technical process or data issues in a matrixed environment
Nice to have
- Structured thinking
- Evidence-based
- Integrity
- Sound judgment
- Curiosity
- Adaptability
Day to day
- Support the analysis, design, development, delivery, and improvement of AI Studio products and solutions across the enterprise.
- Translate business needs into clear requirements, user stories, process flows, data requirements, and acceptance criteria for scalable digital and AI-enabled solutions.
- Partner with cross-functional stakeholders to manage backlogs, coordinate testing and deployment, analyze data and processes, and drive adoption and value realization.