AI Business Analyst – Grow in AI Strategy & Delivery

Coretek Services; United States; Remote; USD 95,000 - 135,000; Full time

Job summary

Coretek Services is seeking an AI Business Analyst to bridge AI strategy and delivery in a remote, client-facing role. You will lead discovery sessions, translate business needs into AI and data requirements, and define measurable success criteria across multi-team projects.

The role emphasizes documented requirements, traceability, and ROI analysis, with collaboration among data engineers, architects, and security professionals within Coretek's Forward Deployed Pod model.

Qualifications

• Experience facilitating business discovery, working with stakeholders, and documenting current and future processes.
• Ability to translate business needs into prioritized requirements, user stories, and business rules.
• Ability to clarify business and data requirements for AI, analytics, reporting, or automation.
• Skill in documenting data ownership, access and quality considerations, user interactions, and review needs.
• Experience maintaining requirements traceability and change-impact assessments through delivery.

Responsibilities

• Lead discovery sessions to understand business objectives, stakeholder needs, and success measures.
• Map current and proposed processes including handoffs, rules, and changes to roles and controls.
• Define and prioritize use cases with stakeholders; support MVP definitions and release planning.
• Translate needs into requirements, user stories, and testable acceptance criteria with technical leads.
• Document readiness for AI, analytics, and automation use cases with data sources and ownership.

Skills

AI/ML use case scoping

Stakeholder facilitation

Requirements traceability

Business case development

Cross-functional collaboration

Job description

AI Business Analyst - Grow in AI Strategy & Delivery - Remote

Career Development Value: This role sits at the intersection of AI strategy and business analysis - one of the fastest-growing specializations in the market. Building expertise in AI use case prioritization, data readiness assessment, and AI requirements documentation positions you well for senior BA, product manager, or AI strategy roles.

Market Compensation: No salary is listed, which is a minor yellow flag. For a mid-to-senior AI Business Analyst in the US, market rates typically range from $95,000-$135,000 annually (with consulting firms sometimes offering more). Candidates should benchmark against firms like Slalom, Cognizant, or Accenture for comparable roles.

Skills You'll Build:

• AI/ML use case scoping and business readiness assessment


• Stakeholder facilitation in complex, multi-team environments


• Requirements traceability in agile/iterative delivery contexts


• Business case development and ROI articulation for AI projects


• Cross-functional collaboration with data engineers and architects

Culture Signals: The "Forward Deployed Pod" model suggests a consulting/professional services environment with structured delivery frameworks. Expect exposure to multiple client industries and varied project types - good for breadth of experience.

Green Flags: Clear role boundaries, structured collaboration model, and emphasis on documented outcomes signal a mature delivery practice. Watch for: No mention of career progression paths, benefits, or PTO - worth probing in interviews. The lack of salary transparency is notable in today's market.

The AI Business Analyst helps clients define business needs, prioritize AI and data use cases, and give delivery teams clear, testable requirements. Working with client stakeholders and Coretek technical specialists, this role connects proposed solutions to measurable business outcomes and maintains that connection through delivery, business validation, and handover.

The role supports projects and workstreams within a Forward Deployed Pod. Activities and capacity follow the agreed engagement scope and allocation.

Key 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.

Requirements

• 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.

What Success Looks Like

Client stakeholders and delivery teams share a clear understanding of the business need, agreed priorities, and acceptance criteria. Requirements remain traceable as delivery progresses. Business validation results and unresolved issues are documented, and the receiving team has usable process guidance, editable artifacts, and clear ownership of remaining actions.

Role Within the Pod

The AI Business Analyst coordinates priorities with the project or workstream lead and collaborates with architects, data and AI engineers, security resources, and other delivery specialists. Technical leads own design and implementation. Client-designated owners retain product priorities, business decisions, risk and compliance decisions, and acceptance authority. The analyst supports those decisions with documented requirements and evidence.

Is this AI Business Analyst role fully remote? The job description does not explicitly state the work location model. The "Forward Deployed Pod" structure used by Coretek often involves some client-site presence, so candidates should confirm the remote vs. on-site expectation during the interview process. What industries or clients will the AI Business Analyst work with? The description does not specify particular industries. The role works with client stakeholders across various projects and workstreams, suggesting exposure to multiple sectors typical of a consulting or managed services firm. What technical knowledge is expected of the AI Business Analyst? The role does not require hands-on technical implementation. However, candidates must be able to document data sources, ownership, quality considerations, and AI/analytics requirements, working alongside architects and data engineers. What does the Forward Deployed Pod model mean for day-to-day work? In a Forward Deployed Pod, the Business Analyst is embedded within a cross-functional delivery team alongside architects, data and AI engineers, and security specialists. Activities and time allocation are governed by the agreed engagement scope with each client. Is salary or compensation information available for this role? No salary or compensation details are provided in the job posting. Candidates are encouraged to discuss compensation expectations directly with Coretek during the recruitment process.