We're Hiring: AI Systems Analyst!

Overview

We are seeking an experienced AI System Analyst with 6+ years of relevant experience in data architecture, AI/NLP use case design, and enterprise analytics systems. The ideal candidate will play a key role in bridging business, regulatory, and technical teams by translating complex requirements into scalable AI-enabled solutions, with a strong focus on NLP-driven analytics and enterprise data platforms.

This role requires deep understanding of data lake and data warehouse architectures, unstructured data processing, and AI/NLP use case implementation. The successful candidate will support solution design, effort estimation, test strategy validation, and stakeholder communication across business and technical domains, particularly in regulated environments such as banking and financial services.

Key Responsibilities

Analyze business, regulatory,and compliance requirements and translate them into scalable technical andAI-enabled solution designs.
Design and define dataarchitectures supporting AI and NLP use cases across data lakes and datawarehouse platforms, including ingestion, curation, and governance ofstructured and unstructured data.
Translate businessrequirements into NLP-driven analytical use cases such as textclassification, entity extraction, risk indicator identification, andsummarization of alerts, cases, and documents.
Define logical data layeringand curation strategies to support reporting, analytics, and AI/MLworkloads.
Perform detailed effortestimation for projects, enhancements, and change requests,ensuring accurate delivery planning and resourcealignment.
Communicate complextechnical, architectural, and AI concepts to business stakeholders andsenior leadership in a simplified and structured manner.
Review and approve teststrategies, functional test cases, and data validation approaches toensure alignment with business and technical requirements.
Collaborate with dataengineers, data scientists, and business analysts to ensure end-to-endsolution feasibility and consistency.
Support solution governanceby ensuring compliance, data quality, and architectural standards acrossAI and analytics initiatives.
Identify opportunitiesto enhance business processes using AI/NLP-driven insights andautomation.
Facilitate requirementgathering sessions and stakeholder workshops to align expectations anddefine solution scope.

Job Qualifications and Requirements

Bachelor's degree in ComputerScience, Information Systems, Data Science, Engineering, or arelated field.
Minimum 6+ years ofrelevant experience in AI systems analysis, dataarchitecture, analytics, or similar roles.
Strong experience in dataarchitecture design across Data Lake and Data Warehouseenvironments.
Hands-on experiencedesigning NLP and AI use cases(Text classification andcategorization, Named entity extraction, Risk indicatoridentification, Summarization of documents, alerts, or cases).
Strong experience inrequirements analysis, solution design, and translating business needsinto technical specifications.
Proven ability in effortestimation, project scoping, and delivery planning for technicalinitiatives.
Strong stakeholder managementand communication skills, with the ability to simplify complex AI andtechnical concepts for business audiences.
Experience reviewing andvalidating test strategies, functional test cases, and data validationframeworks.
Strong understanding ofenterprise data platforms and data lifecycle management.
Ability to design logicaldata layering and curation strategies supporting AI, analytics, andreporting use cases.
Experience working inregulated environments such as banking, financial services, or othercompliance-heavy industries is highly preferred.
Strong understanding of riskmanagement, governance, and compliance requirements in data and AIsystems.
Experience working withunstructured data and enterprise-scale data processingsystems.
Familiarity with AI/NLP-basedanalytics implementations in production or enterprise environments.

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