Job Responsibilities 

• Elicit and document comprehensive business, functional, and data-flow requirements by engaging product owners, business stakeholders, and technical teams.
• Translate complex business requirements into well-structured solution options (process, data, and technical approaches) that are feasible and scalable.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis, solution optioning, and architecture documentation, validating outputs and handling data according to sensitivity and security requirements.
• Produce clear artifacts (user stories, acceptance criteria, process maps, data lineage/flows) to enable accurate build and test execution.
• Partner with engineering and architecture to align requirements to platform standards, reusable patterns, and target-state designs.
• Conduct in-depth data analysis to identify trends, gaps, and opportunities; provide actionable insights that support key initiatives.
• Support delivery execution by managing dependencies, clarifying scope, and proactively resolving requirement ambiguities and changes.
• Collaborate across teams to define and maintain standards, governance processes, and documentation that align technology to business strategy.
• Coordinate and support UAT planning and execution, including test scenario definition, defect triage, and closure validation.
• Manage and refine a prioritized backlog; balance customer demand against team capacity and delivery constraints.
• Continuously enhance technical and domain knowledge, staying current on platform capabilities and best practices to propose improvements.

Required Qualifications, Capabilities, and Skills 

• 3+ years of experience (or equivalent expertise) in solutions analysis, technical program delivery, product analysis, or a related field.
• Demonstrated proficiency in data analytics, including data extraction, modeling, and interpretation to support decision-making.
• Advanced data visualization capability with hands-on experience implementing and managing BI dashboards.
• Strong technical writing skills with a track record of translating complex information into clear documentation for diverse audiences.
• Advanced data fluency: ability to work with large, diverse datasets and generate insights tied to business objectives.
• Strong knowledge of Jira, including building dashboards to track and report progress.
• Experience producing high-quality requirements artifacts (user stories, acceptance criteria, process flows, data flows) that enable engineering delivery.
• Demonstrated ability to manage scope, dependencies, and ambiguity; lead through change with strong stakeholder partnership.
• Experience balancing customer demands against team capacity to produce and manage a prioritized backlog of requirements.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity. (mandatory)
• Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations.

Preferred Qualifications, Capabilities, and Skills 

• Experience working with the ServiceNow platform (requirements, workflows, or reporting).
• ServiceNow Certified System Administrator (CSA).
• Experience working with Agile delivery (Scrum/Kanban) and iterative refinement of requirements.
• Working knowledge of APIs/integrations and how requirements translate into interface contracts and error handling.
• Familiarity with operational readiness concepts (runbooks, controls, change/release considerations).
• Experience with process modeling techniques/tools (e.g., BPMN-style mapping) and data-flow documentation.
• Exposure to governance/standards documentation (e.g., definitions of done, templates, policy/controls alignment).