Lead Business Analyst (AI)

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.