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Perennial Resources International · 10 hours ago

Associate AI Business Analyst

New York

Full-time

Onsite

Entry, Mid Level

2+ years exp

Perennial Resources International is seeking an Associate AI Business Analyst to collaborate with business stakeholders and IT teams to identify and prioritize AI opportunities. The role involves gathering requirements, designing solutions, and supporting implementation to enhance decision-making and efficiency within the organization.

ConsultingInformation Technology

No H1B

Responsibilities

In partnership with the AVP on the team, you will partner with business stakeholders and IT teams to identify, qualify, and prioritize AI opportunities that enhance decision-making, accuracy, and efficiency

Facilitate workshops, structured interviews, and working sessions with bankers and support functions to understand workflows, pain points, and desired outcomes

Act as a trusted bridge between technical teams and business users, ensuring clear communication and alignment throughout the project lifecycle

Present findings, recommendations, and project updates to cross-functional teams and management, tailoring message and detail to the audience

Own the end-to-end requirements process for assigned AI initiatives, from discovery through sign-off

Document and refine business requirements, user stories, and acceptance criteria for AI-driven solutions

Create and maintain artifacts such as process maps, swim lane diagrams, data flow diagrams, and use-case briefs

Translate complex business needs into actionable technical deliverables for engineering and data science teams and support backlog prioritization in Agile ceremonies where applicable

Analyze existing business processes and data flows to identify bottlenecks, manual work, and automation opportunities

Design workflows and process flows that align business use cases with AI capabilities (e.g., generative AI assistants, intelligent document processing, AI agents)

Collaborate with data scientists and engineers to prototype, test, and deploy AI solutions, providing structured feedback and ensuring business requirements are met

Coordinate and support user acceptance testing (UAT), including test case definition, execution tracking, and defect triage

Ensure solutions are scalable, secure, and aligned with organizational goals, controls, and standards

Define and track KPIs and success metrics for AI use cases (e.g., time saved, accuracy improvements, revenue enablement, error reduction)

Analyze usage patterns, performance metrics, and business outcomes from deployed AI tools; synthesize insights into clear recommendations

Support documentation related to model behavior, data lineage, controls, and explainability in partnership with risk, legal, and compliance teams

Research emerging AI technologies and platforms, especially generative AI, large language models, and workflow automation tools, and assess their applicability to investment banking workflows

Benchmark company's initiatives against external market trends and best practices in AI for financial services

Contribute to internal best practices, playbooks, and templates for AI business analysis

Help develop training materials, demos, and change management plans to drive adoption and AI literacy across the firm

Qualification

AI opportunity identificationRequirements gatheringPythonData analysisStakeholder managementMicrosoft ExcelGenerative AI familiarityAgile methodologyCommunication skillsProblem-solving skills

Required

Bachelor's Degree required, with preferred emphasis in Information Systems, Data Science/Analytics, Computer Science, Finance or related field

2 – 4 years of experience as a Business Analyst or similar role

Excellent communication and stakeholder management abilities; able to influence, synthesize input from multiple parties, and drive alignment

Strong analytical and problem-solving skills; able to turn qualitative and quantitative data into clear insights and action

Advanced skills in Microsoft Excel, PowerPoint, and Word, including building structured analyses and executive-ready presentations

Experience working with Python (and ideally SQL or data analytics tools such as Power BI or Tableau) to explore data, run analyses, or prototype solutions

Familiarity with generative AI tools, large language models, or automation platforms (e.g., ChatGPT, Copilot, Gemini, Power Automate, UiPath) and an understanding of how they can be embedded in business workflows

Understanding of core software delivery concepts (e.g., Agile, backlog management, UAT, release planning)