AI Automation Analyst - Onsite Project @ Brooklyn, NY

Introduction:

This position is for an AI Automation Analyst to work on an onsite project in Brooklyn, NY for a duration of 60 months with NYC HRA. The role involves leading workshops, performing feasibility analysis, translating business requirements into technical specifications, collaborating with various teams, and supporting AI pilots and POCs.

Responsibilities:

• Lead workshops with business stakeholders to document business processes, pain points, user stories, and acceptance criteria.
• Perform feasibility analysis to identify opportunities for AI/ML, automation, decisioning, and workflow optimization.
• Develop process maps, system flows, data lineage, and integration documentation.
• Translate business requirements into technical specifications, including APIs, data flows, and validation rules.
• Analyze existing applications, databases, and AWS cloud environments to inform solution design.
• Collaborate with architects, developers, data scientists, and engineers to ensure accurate interpretation of requirements.
• Define data needs, metrics, business rules, validation logic, and AI/ML model behavior.
• Lead and support AI pilots and POCs, including defining success metrics and tracking outcomes.
• Conduct root cause analysis and recommend improvements for accuracy, efficiency, and compliance.
• Support dashboarding, analytics KPIs, and reporting for business and executive leadership.
• Support User Acceptance Testing, defect triage, and business sign-offs.
• Act as a liaison between business program areas, IT delivery teams, vendor partners, and technical SMEs.
• Produce regular status updates, technical documentation, and executive-level summaries.
• Support training, SOP updates, knowledge transfer, and production rollouts.

Requirements:

Required Skills:

• Minimum 10 years of experience in functional and technical analysis across enterprise applications and data-driven solutions.
• Minimum 5 years of strong understanding of AI/ML concepts, automation frameworks, and data fundamentals.
• Minimum 10 years of experience preparing BRDs, FSDs, user stories, workflow diagrams, and system documentation.
• Minimum 7 years of experience analyzing structured and unstructured data to support business decisions.
• Minimum 7 years of hands-on experience writing complex SQL and working with enterprise RDBMS platforms.
• Minimum 5 years of experience working with enterprise data warehouses, ETL/ELT processes, and data modeling.
• Minimum 5 years of experience applying statistics and ML techniques on real-world datasets.
• Minimum 5 years of exposure with data libraries like Python and experience with CI/CD or MLOps practices.
• Minimum 5 years of experience evaluating AI tools, frameworks, or vendors and making solution recommendations.
• Minimum 7 years of experience leading or overseeing AI pilots/POCs and contributing to scale-up planning.