Jean Martin, Inc
Jean Martin, Inc

Senior Business Analyst – Data, GenAI & Agentic AI

Jersey City, NJ, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Business Analyst
  • Gen AI
  • Agentic AI
  • Data

Summary

Role: Senior Business Analyst – Data, GenAI & Agentic AI (Onshore)
Location: New Jersey
Duration: Long term
Final interview F2F
 
Job description: 
 
We’re looking for a hands-on Senior Business Analyst for a high-visibility Data and GenAI/Agentic AI program. The role connects Business, Data, AI, and Technology. You’ll take a complex business problem and turn it into processes, requirements, data needs, AI context, and implementation-ready specifications.
This position suits a self-starter with strong analytical, communication, facilitation, and negotiation skills who can work effectively with senior business stakeholders and delivery teams.
The role requires:
  • Proficiency translating business problems into processes, requirements, data, AI context, and specifications
  • Strong data skills to define and validate the data that AI agents and analytics depend on
  • Working knowledge of GenAI, LLMs, Agentic AI, context engineering, and prompt engineering
  • A specification-driven mindset: precise, structured, testable requirements for traditional and AI-assisted development
Responsibilities include:
  • Leading requirements discovery, elicitation, and documentation, translating business objectives into Epics, Stories, specifications, and acceptance criteria
  • Defining current-state and target-state processes and identifying opportunities for simplification, automation, and AI enablement
  • Maintaining end-to-end traceability, from business objective through requirement, specification, and implementation to validation
  • Leading discovery workshops, refinement sessions, and solution-design discussions; resolving ambiguity and negotiating priorities across Business and Technology
  • Defining data requirements, including:
    • source systems and critical data elements (CDEs)
    • business definitions and mappings
    • transformation rules and refresh needs
    • ownership and data quality expectations
  • Analyzing structured and unstructured data with SMEs
  • Partnering with Data Engineering to expose data sources through Starburst (or similar data virtualization tools)
  • Assessing data quality and working with Data Owners and Stewards to maintain metadata, lineage, classifications, and governance in Collibra (or similar)
  • Establishing business glossaries, taxonomies, ontologies, and semantic relationships to make enterprise data AI-ready
  • Defining AI agent requirements:
    • objectives, roles, and inputs/outputs
    • workflows and decision boundaries
    • data and knowledge needs
    • human-in-the-loop interactions
    • business rules, exceptions and escalation paths, and guardrails
    • evaluation criteria
  • Defining where AI should inform, recommend, augment, or automate business activities
  • Writing testable AI acceptance criteria covering grounding, relevance, completeness, consistency, and appropriate behavior
  • Designing and refining prompts, and defining the business context agents need: policies, terminology, rules, metadata, and knowledge sources
  • Deciding with AI Engineering what is provided as instructions versus retrieved dynamically from enterprise knowledge and data
  • Writing implementation-ready specifications that cover:
    • behavior, business rules, and decision logic
    • data, inputs/outputs, and interfaces
    • exceptions and dependencies
    • acceptance criteria and non-functional requirements
  • Partnering with Engineering throughout development to clarify specifications and reduce rework
Required:
  • Significant experience as a Senior BA, BSA, Product Analyst, or equivalent on complex technology initiatives
  • Strong expertise in requirements engineering, process analysis, and requirements decomposition
  • Exceptional communication, facilitation, negotiation, stakeholder management, and influencing skills
  • Experience defining data requirements and analyzing structured and unstructured data
  • Understanding of data quality, metadata, lineage, business definitions, semantic relationships, and data governance
  • Agile delivery experience: Epics, Stories, acceptance criteria, refinement, Jira
  • Working knowledge of GenAI, LLMs, Agentic AI, context engineering, and prompt engineering
  • Ability to translate AI use cases into requirements, agent behaviors, guardrails, data and context needs, and acceptance criteria
  • Understanding of specification-driven development
Preferred / huge plus:
  • Starburst or similar data virtualization or query platforms
  • Collibra or similar governance, catalog, metadata, or data quality platforms
  • Microsoft Copilot, Copilot Studio, Azure AI, or comparable enterprise GenAI platforms
  • RAG, semantic and vector search, enterprise knowledge retrieval, AI agents, and orchestration
  • Experience in a highly regulated environment (traceability, controls, explainability, human oversight)
  • Audit, Risk, Compliance, or continuous risk monitoring experience
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: jeanmart
  • Position Id: 9133084
  • Posted 1 hour ago
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MR

Manimathaw Ramakrishnan

Recruiter @ Jean Martin, Inc

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