AI Business Analyst: Turn Needs into AI Wins

Coretek; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Coretek is seeking an AI Business Analyst to help clients define business needs, prioritize AI and data use cases, and deliver testable requirements. You will work with client stakeholders and Coretek specialists to connect proposed solutions to measurable outcomes through delivery, validation, and handover.

The role operates within a Forward Deployed Pod, adapting to the engagement scope and allocation to support successful AI initiatives.

Qualifications

• Experience facilitating business discovery, working with stakeholders, and documenting current and future processes.
• Ability to turn business needs into prioritized requirements, user stories, business rules, and testable acceptance criteria.
• Ability to clarify business and data requirements for AI, analytics, reporting, or automation use cases with technical specialists.
• Skill in documenting data ownership, access and quality considerations, expected user interactions, exceptions, and human review needs.
• Experience maintaining requirements traceability, decision records, and change-impact assessments through delivery.
• Ability to define business acceptance scenarios, summarize validation results, and prepare practical process documentation and handover materials.
• Clear communication, workshop facilitation, and stakeholder-management skills, including explaining dependencies, risks, and unresolved decisions to business and technical audiences.

Responsibilities

• Lead discovery sessions to understand business objectives, stakeholder needs, intended users, current processes, constraints, and measures of success.
• Map current and proposed processes, including handoffs, business rules, exceptions, and changes to roles, decisions, controls, and downstream work.
• Define and prioritize use cases with stakeholders. Document the business problem, expected outcomes, value, dependencies, and constraints. Support minimum viable product definition and release planning where included in scope.
• Translate business, functional, data, and reporting needs into requirements, user stories, and testable acceptance criteria. Work with technical leads to capture security, performance, and integration needs.
• Document readiness for AI, analytics, and automation use cases, including data sources, ownership, access, quality considerations, expected outputs, user interactions, exceptions, human review, and validation criteria.
• Review requirements with business and technical teams, resolve ambiguity, and confirm that proposed designs address approved requirements. Record decisions and assumptions and maintain traceability to outcomes, delivery scope, and acceptance criteria.
• Support backlog refinement and assess proposed changes. Explain effects on scope, effort, dependencies, and outcomes. Communicate progress and outstanding actions regularly, and raise blockers and risks with a recommended next action.
• Develop business cases using agreed baselines, cost and benefit assumptions, and outcome measures when included in scope. Support scoped adoption and readiness assessments of stakeholder impacts, process changes, and adoption risks.
• Support user acceptance testing by defining business scenarios, coordinating stakeholder reviews, and recording results, unresolved issues, and items requiring client acceptance.
• Prepare business process and user guidance and a clear handover of approved requirements, decisions, known limitations, open actions, and assigned ownership.

Skills

Stakeholder facilitation

Requirements writing

User stories

Traceability

Communication

Job description

Coretek is seeking an AI Business Analyst to help clients define business needs, prioritize AI and data use cases, and deliver testable requirements. You will work with client stakeholders and Coretek specialists to connect proposed solutions to measurable outcomes through delivery, validation, and handover.

The role operates within a Forward Deployed Pod, adapting to the engagement scope and allocation to support successful AI initiatives.