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Lead Business Analyst (AI)
Lead Business Analyst (AI)Noblesoft Solutions • St. Petersburg, FL, United States
Lead Business Analyst (AI)

Lead Business Analyst (AI)

Noblesoft Solutions • St. Petersburg, FL, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.temporary]
[job_card.job_description]

This role is only open to USC / GC holders who can work on our w2.

No C-C is possible

There will be a F2F interview

Job Title : Lead Business Analyst

Location : St. Petersburg, FL (Hybrid)

Duration : Long term contract

Duties

Strategic Analysis and Solution Definition

  • Lead business discovery for agentic AI initiatives, translating enterprise objectives into clearly defined product and system requirements.
  • Partner with engineering, data science, and risk teams to ensure each solution aligns with firm priorities, compliance standards, and long-term AI governance frameworks.
  • Define success metrics and measurable outcomes for agentic systems that drive advisor productivity, client intelligence, and firm efficiency.

Requirements Management

  • Elicit, document, and refine requirements that span AI reasoning, data integration, knowledge orchestration, and adaptive decision flows.
  • Bridge technical and business contexts — ensuring that the intent, capabilities, and constraints of frameworks such as Strands, CrewAI, LangGraph, and Agent Core are accurately reflected in user stories and acceptance criteria.
  • Manage change control for rapidly evolving agentic capabilities, balancing agility with traceability and compliance.

    • Stakeholder Alignment and Communication

  • Act as the primary interface between business leaders, developers, and governance teams to maintain a shared understanding of priorities, tradeoffs, and dependencies.
  • Translate complex AI and engineering concepts into concise, business-relevant narratives for executives and non- technical audiences.
  • Facilitate workshops, design reviews, and model demonstrations to ensure feedback loops are fast and informed.

    • Governance and Risk Integration

  • Partner with Compliance, Data Governance, and Enterprise Architecture to embed ethical, auditable, and transparent AI operations throughout solution design.
  • Ensure agentic AI initiatives align with data residency, privacy, and supervisory regulations applicable to financial services.

    • Operational Excellence and Delivery

  • Drive the full delivery lifecycle — from concept through deployment — maintaining clear documentation, prioritization, and validation processes.
  • Support testing, model validation, and release readiness activities by providing context, user scenarios, and performance benchmarks.
  • Continuously refine business processes and operating models to leverage the adaptive nature of agentic systems.

    • Skills

    Technical and Analytical Proficiency

  • Strong understanding of AI / ML concepts, particularly agentic and LLM-based architectures.
  • Familiarity with AWS cloud environments, data pipelines, and API-driven ecosystems.
  • Ability to interpret and validate outputs from frameworks such as Strands, CrewAI, LangGraph, and Agent Core in collaboration with engineers.
  • Experience working with structured and unstructured data, embeddings, and retrieval systems to support intelligent automation.

    • Business and Strategic Insight

  • Deep expertise in requirements analysis, process optimization, and value mapping across enterprise systems.
  • Strong ability to quantify business impact, model ROI, and articulate how AI systems drive competitive advantage.
  • Understanding of financial services operations, risk management, and compliance implications in production AI environments.

    • Leadership and Collaboration

  • Proven success leading multi-disciplinary teams across data, engineering, and governance functions.
  • Skilled in translating ambiguity into structure and clarity; comfortable operating at the intersection of innovation and regulation.
  • Exceptional written and verbal communicator capable of aligning senior stakeholders around transformative AI initiatives.

    • Mindset and Behavior

  • Analytical precision, bias for execution, and intellectual curiosity about AI’s evolving role in business decision-making.
  • Integrity-driven; consistently aligns actions with client outcomes and firm values.
  • Embraces iterative learning and continuous improvement in both systems and self.

    • Education

  • Bachelor’s degree in Information Systems, Computer Science, a related field or equivalent experience.
  • 5+ years of experience in business analysis, product ownership, or AI / technology-driven transformation—ideally within financial services or a regulated enterprise.
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