Business Analyst

SGS Technologie; Saint Petersburg (FL); On-site; USD 120,000 - 180,000; Part time

Job summary

A technology consulting firm in Florida is seeking a Mid-Senior level professional for a contract position focused on AI and ML initiatives. The role requires strong analytical skills, expertise in AWS cloud environments, and experience with both structured and unstructured data. Candidates should have a deep understanding of financial services operations and be capable of leading multi-disciplinary teams. This is an opportunity to drive competitive advantage through innovative AI solutions.

Qualifications

• Strong understanding of Al/ML concepts, particularly agentic and LLM-based architectures.
• Ability to interpret and validate outputs from frameworks such as Strands, CrewAI, LangGraph, and Agent Core.
• Experience working with data pipelines and API-driven ecosystems.
• Experience with structured and unstructured data, embeddings, and retrieval systems.
• Proven success leading multi-disciplinary teams across data, engineering, and governance functions.

Responsibilities

• Lead multi-disciplinary teams across data, engineering, and governance functions.
• Quantify business impact and articulate how AI systems drive competitive advantage.
• Translate ambiguity into structure and clarity for stakeholders.

Skills

Technical and Analytical Proficiency

Strong understanding of AI/ML concepts

Familiarity with AWS cloud environments

Experience with structured and unstructured data

Deep expertise in requirements analysis

Strong ability to quantify business impact

Understanding of financial services operations

Proven success leading multi-disciplinary teams

Exceptional written and verbal communication

ROI modeling

Stakeholder alignment

Regulatory/compliance awareness

Tools

Strands

CrewAI

LangGraph

Agent Core

Job description

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Skill In:

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

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Financial Services, Investment Banking, and Banking