What are the responsibilities and job description for the Technical Data Analyst – Artificial Intelligence - Data Science. ( Face to Face Interview is Required ) position at Iris Software Inc.?
Our Client which is a large Insurance Firm is urgently looking to hire Technical Data Analyst – Artificial Intelligence - Data Science.
Technical Data Analyst - Artificial Intelligence - Data Science.
Location: NJ (Hybrid) – Hybrid, Clinton, NJ, some travel to NYC.
Need 3 days onsite every week.
Nature of Contract - Right to hire
F2F Interview is Required - Mandatory
Insurance domain is plus.
Business data analyst within Data science/AI space. Strong data experience.
Using LLM, data science, RAG
Data analysis, data Ingestion, data documentation.
Position Summary
We are seeking a technically skilled and analytically minded Technical Analyst to support Core Mod AI Transformation. This role will work closely with the Project Manager and cross-functional teams to analyze legacy systems, define technical requirements, and support the integration of AI/ML solutions. The ideal candidate will have a strong foundation in data analysis, pattern recognition, and data lineage, along with excellent communication skills and a collaborative mindset.
Key Responsibilities
Technical Analysis & Requirements Gathering
Analyze systems to extract business logic and identify modernization opportunities.
Collaborate with business and technical stakeholders to gather, document, and validate functional and non-functional requirements.
Translate business needs into clear, actionable technical specifications for AI/ML and data engineering teams.
Data Analysis & Lineage
Perform in-depth data analysis to identify trends, anomalies, and patterns that inform AI/ML model development and business decisions.
Map data lineage across systems to ensure traceability, compliance, and transparency in data flows.
Support the creation of lineage tools and visualizations to aid in understanding data dependencies and transformations.
AI/ML Enablement
Support the development and deployment of AI/ML models by ensuring data readiness and system compatibility.
Work with MLEs and data scientists to define input/output structures, validate model assumptions, and monitor performance.
Assist in identifying and preparing use cases for AI-driven automation and decision support.
Cross-Team Collaboration
Partner with Product Owners, Scrum Masters, and Developers to ensure technical feasibility and alignment with roadmap goals.
Participate in agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives.
Coordinate with vendors and internal teams to support POCs, demos, and technical deep dives.
Documentation & Communication
Create and maintain technical documentation, including data flow diagrams, system mappings, and integration specs.
Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
Present findings and recommendations with clarity, confidence, and a collaborative tone.
Required Qualifications
7 years of experience in a technical analyst, systems analyst, or similar role.
Strong understanding of legacy systems, data structures, and system integration.
Proven experience in data analysis, pattern recognition, and data lineage mapping.
Familiarity with AI/ML concepts and experience supporting AI/ML projects.
Proficiency in tools such as SQL, Excel, Jira, Confluence, and data visualization platforms.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively in a fast-paced, agile environment.