Cloud AI Application Administrator

OpenKyber is seeking a Senior Technical & Functional Analyst with Advanced SQL, strong Python, and experience working with enterprise data warehouses for an onsite role in Brooklyn, NY to support a high-priority, agency-wide initiative focused on reducing payment error rates and strengthening program integrity. Active LinkedIn preferred. This 3-year contract role will bridge business and technical teams to deliver AI-enabled, automated, and data-driven solutions that improve eligibility accuracy, case processing efficiency, compliance, and operational decision-making in a regulated enterprise environment. WHO WE ARE UNIVERSAL Technologies is a Women-Owned (M/WBE) IT consulting and professional services firm delivering innovative technology solutions to government and enterprise clients. We specialize in digital transformation, data analytics, cloud solutions, artificial intelligence, and application development to help organizations improve performance, compliance, and service delivery. WHAT WE OFFER Engagement on mission-critical, high-visibility government initiatives Collaborative environment with experienced technical and business professionals Exposure to AI, automation, and advanced analytics solutions Commitment to professional growth and continuous learning MANDATORY REQUIREMENTS Candidates who do not meet the mandatory requirements will not be considered. Minimum 10 years of experience performing functional and technical analysis across enterprise applications and data-driven solutions Minimum 10 years of experience preparing and maintaining BRDs, FSDs, user stories, workflow diagrams, and system documentation Minimum 7 years of experience analyzing structured and unstructured data to support operational and business decision-making Minimum 7 years of hands-on experience writing complex SQL, optimizing queries, and working with enterprise RDBMS platforms such as SQL Server, Oracle, or PostgreSQL Minimum 5 years of experience working with enterprise data warehouses, ETL/ELT processes, and data modeling Minimum 5 years of experience applying statistical and machine learning techniques to real-world datasets, including model validation and iteration Minimum 5 years of experience with AI/ML concepts, automation frameworks, and data fundamentals Minimum 5 years of experience using data and analytics libraries (e.g., Python, pandas) and exposure to CI/CD, MLOps, or automation practices Minimum 5 years of experience evaluating AI tools, platforms, or vendors and making solution or architecture recommendations Minimum 7 years of experience leading or overseeing pilots and proofs of concept (POCs), defining success metrics, and contributing to scale-up or roadmap planning Strong communication skills with the ability to engage business stakeholders, technical teams, and executive leadership SCOPE OF SERVICES Lead workshops with business stakeholders to document business processes, pain points, user stories, functional specifications, and acceptance criteria Perform feasibility analysis to identify opportunities for AI/ML, automation, decisioning, and workflow optimization Develop process maps (BPMN), system flows, data lineage, and integration documentation Translate business requirements into clear, actionable technical specifications, including APIs, data flows, validation rules, and AI/ML model inputs and outputs Analyze existing applications, databases, integrations, and AWS cloud environments to inform solution design and implementation Collaborate closely with architects, developers, data scientists, engineers, and OpenKyber to ensure accurate interpretation of requirements and solution intent Define data needs, metrics, business rules, validation logic, and AI/ML model behavior in partnership with data science and engineering teams Lead and support AI pilots and POCs, including success criteria definition, outcome tracking, and lessons-learned documentation Conduct root-cause analysis and recommend improvements to accuracy, efficiency, compliance, and user experience Support dashboards, KPIs, analytics, and reporting for operational and executive leadership Support User Acceptance Testing (UAT), traceability, defect triage, and business sign-offs Partner with QA teams to ensure robust testing coverage across standard and edge-case scenarios, including AI-driven solutions Produce regular status updates, technical documentation, and executive-level summaries Support training, SOP updates, knowledge transfer, and production rollouts OpenKyber is an equal opportunity employer. For applications and inquiries, contact: hirings@openkyber.com