AI Business Analyst
Franklin Fitch
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New York City Metropolitan Area
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Mid-Senior level
Posted April 17, 2026
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Responsibilities
Commitments
Responsibilities
- Strategic Requirement Elicitation: Translate stakeholder needs into functional AI-enabled automation requirements.
- Process Engineering: Map "As-Is" and "To-Be" processes, identifying high-impact opportunities for LLMs, Machine Learning, and orchestration.
- MCP & Tooling Enablement: Collaborate with Product Engineering to define and test MCP-driven tools that auto-generate technical specs, user stories, and code scaffolds.
- Prompt & Template Engineering: Develop reusable prompt patterns and templates to ensure documentation and code output meet strict governance standards.
- Prototyping: Drive rapid MVPs and Proofs of Concept (PoCs) using low-code tools and prompt engineering.
- Data Feasibility: Profile structured and unstructured data (using SQL/Python) to validate if an automation is actually viable.
Commitments
Hybrid Working Model: Flexible office / client balance
Travel Support: Client travel stipend & expenses covered
Professional Development: Certifications, events & speaking opportunities
Not Met Priorities
What still needs stronger evidence
Requirements
- Data Feasibility: Profile structured and unstructured data (using SQL/Python) to validate if an automation is actually viable.
- BA Foundations: 5+ years of Business Analysis experience, with at least 2 years dedicated to AI, Data, or Automation projects.
- The Azure Ecosystem: Strong experience working within Azure environment (Azure OpenAI, Azure DevOps) to deliver enterprise-grade solutions.
- Data Visualization & Analytics: Proficiency in Power BI and Tableau to visualize automation KPIs, telemetry, and data-driven insights.
- Scripting & Data Science: Working knowledge of Python for data profiling and output validation.
- AI Frameworks: Familiarity with LangChain, MCP, or GitHub Copilot to streamline software delivery.
- General AI Involvement: A broad understanding of the current AI landscape, including RESTful APIs, event-driven architectures, and ethical-AI governance (GDPR).
Preferred Skills
- Scripting & Data Science: Working knowledge of Python for data profiling and output validation.
- AI Frameworks: Familiarity with LangChain, MCP, or GitHub Copilot to streamline software delivery.
- General AI Involvement: A broad understanding of the current AI landscape, including RESTful APIs, event-driven architectures, and ethical-AI governance (GDPR).
Education
- (Not required) – BA Foundations: 5+ years of Business Analysis experience, with at least 2 years dedicated to AI, Data, or Automation projects.
Role: AI Technical Business Analyst (AI Automations) Location : Manhattan (Hybrid 3 Days WFH) Salary : $130k - $150k We are currently partnering with a forward-thinking digital consultancy that is at the bleeding edge of Enterprise AI . They are seeking a Technical Business Analyst who specializes in AI Automations to act as the primary bridge between high-level business strategy and technical engineering teams. This isn't a "standard" BA role. You will be a champion for Agentic AI and Model Context Protocol (MCP) , helping the organization move beyond simple chatbots into sophisticated, automated ecosystems that generate code, documentation, and complex workflows. The Mission You will shape how the firm uses internal AI tooling to accelerate solution design. Your goal is to reduce manual effort across the delivery lifecycle, using AI to build AI. Key Responsibilities:
Strategic Requirement Elicitation: Translate stakeholder needs into functional AI-enabled automation requirements.
Process Engineering: Map "As-Is" and "To-Be" processes, identifying high-impact opportunities for LLMs, Machine Learning, and orchestration.
MCP & Tooling Enablement: Collaborate with Product Engineering to define and test MCP-driven tools that auto-generate technical specs, user stories, and code scaffolds.
Prompt & Template Engineering: Develop reusable prompt patterns and templates to ensure documentation and code output meet strict governance standards.
Prototyping: Drive rapid MVPs and Proofs of Concept (PoCs) using low-code tools and prompt engineering.
Data Feasibility: Profile structured and unstructured data (using SQL/Python) to validate if an automation is actually viable. Required Experience:
BA Foundations: 5+ years of Business Analysis experience, with at least 2 years dedicated to AI, Data, or Automation projects.
The Azure Ecosystem: Strong experience working within Azure environment (Azure OpenAI, Azure DevOps) to deliver enterprise-grade solutions.
Data Visualization & Analytics: Proficiency in Power BI and Tableau to visualize automation KPIs, telemetry, and data-driven insights.
Scripting & Data Science: Working knowledge of Python for data profiling and output validation.
AI Frameworks: Familiarity with LangChain, MCP, or GitHub Copilot to streamline software delivery.
General AI Involvement: A broad understanding of the current AI landscape, including RESTful APIs, event-driven architectures, and ethical-AI governance (GDPR). What’s on Offer
Competitive Base Salary: $130k - $150k (DOE)
Comprehensive Benefits: Medical, Dental & Vision coverage
Retirement Plan: 401(k) with company contribution
Generous Paid Time Off: Vacation, holidays & sick leave
Hybrid Working Model: Flexible office / client balance
Travel Support: Client travel stipend & expenses covered
Professional Development: Certifications, events & speaking opportunities
Clear Leadership Path: Opportunity to shape and grow a US AI practice Ready to define the future of AI delivery? If you have the technical pedigree and the analytical mindset to bridge the gap between business needs and AI capabilities, we’d love to speak with you.
Strategic Requirement Elicitation: Translate stakeholder needs into functional AI-enabled automation requirements.
Process Engineering: Map "As-Is" and "To-Be" processes, identifying high-impact opportunities for LLMs, Machine Learning, and orchestration.
MCP & Tooling Enablement: Collaborate with Product Engineering to define and test MCP-driven tools that auto-generate technical specs, user stories, and code scaffolds.
Prompt & Template Engineering: Develop reusable prompt patterns and templates to ensure documentation and code output meet strict governance standards.
Prototyping: Drive rapid MVPs and Proofs of Concept (PoCs) using low-code tools and prompt engineering.
Data Feasibility: Profile structured and unstructured data (using SQL/Python) to validate if an automation is actually viable. Required Experience:
BA Foundations: 5+ years of Business Analysis experience, with at least 2 years dedicated to AI, Data, or Automation projects.
The Azure Ecosystem: Strong experience working within Azure environment (Azure OpenAI, Azure DevOps) to deliver enterprise-grade solutions.
Data Visualization & Analytics: Proficiency in Power BI and Tableau to visualize automation KPIs, telemetry, and data-driven insights.
Scripting & Data Science: Working knowledge of Python for data profiling and output validation.
AI Frameworks: Familiarity with LangChain, MCP, or GitHub Copilot to streamline software delivery.
General AI Involvement: A broad understanding of the current AI landscape, including RESTful APIs, event-driven architectures, and ethical-AI governance (GDPR). What’s on Offer
Competitive Base Salary: $130k - $150k (DOE)
Comprehensive Benefits: Medical, Dental & Vision coverage
Retirement Plan: 401(k) with company contribution
Generous Paid Time Off: Vacation, holidays & sick leave
Hybrid Working Model: Flexible office / client balance
Travel Support: Client travel stipend & expenses covered
Professional Development: Certifications, events & speaking opportunities
Clear Leadership Path: Opportunity to shape and grow a US AI practice Ready to define the future of AI delivery? If you have the technical pedigree and the analytical mindset to bridge the gap between business needs and AI capabilities, we’d love to speak with you.