Lorven Technologies

Develop a Power BI dashboard to identify and analyze duplicate patient encounters and support data-quality improvement. | Requires expertise in Power BI, data modeling, analytics, stakeholder engagement, and ability to translate data extracts into actionable insights. | Role: DBHDS - Data Analyst 4 Location: 1220 Bank Street Richmond Virginia - Remote 100% Remote role but must be able to pick up equipment IN PERSON if selected. Interview process : Web Cam Interview Only SHORT TERM EXPECTED Pls note: This is a time sensitive role that has a tight timeline. They can choose to work full time (or part-time, 20 hrs/week) until the work is completed. If they work 40 hrs /week then the work could finish sooner and the engagement may end sooner. At this time it is slated to go to 6/30/26 (at the latest) ABOUT THE ROLE This engagement aims to transform a large Excel extract of potential duplicate patient encounters into a structured, interactive Power BI dashboard that supports data-quality improvement and operational cleanup. The consultant will work with HIM, data governance, and clinical operations teams to define the criteria and visualizations needed to surface duplicate patterns, encounter clusters, and high-risk records. The dashboard will help teams quickly identify duplicates, understand root causes, and prioritize remediation efforts. The resource may also be engaged in other Power BI work related to DBHDS as it arises if time in needed. Key Tasks • Conduct requirements sessions with HIM, data governance, and operations • Analyze the structure and quality of the duplicate-encounter extract • Build a Power BI data model capable of handling large datasets • Develop visualizations for duplicate patterns, encounter groupings, frequency, and severity indicators • Create filters for facility, date ranges, encounter type, and risk level • Implement automated refresh and validation logic • Iterate with stakeholders to refine insights and usability Deliverables • Requirements document and dashboard wireframes • Power BI data model and transformation logic • Duplicate Encounter Identification dashboard • Data dictionary and process documentation • Knowledge-transfer session with internal staff Milestones • Week 1-3: Requirements gathering & data review • Week 4-8: Data modeling & initial dashboard build • Week 9-10: Stakeholder review & refinement • Week 11-12: Final dashboard delivery & documentation Skill Matrix: Power BI & Data Modeling Expertise Required Analytics & Data Interpretation Required Stakeholder Engagement & Requirements Gathering Required Ability to translate extracts and data Required Technical & Tooling Skills Required Training & Knowledge Transfer Required Project & Delivery Skills Required Background in operational reporting or IT service management analytics Nice to have Experience with EHR systems (Cerner/Oracle Millennium, AVATAR) Nice to have

Participate in data migration, cleansing, and design of cloud-based data stack and analytics platforms for child welfare case management. | 8+ years in multidimensional DB design, ETL, data quality, ERD, and analytics projects; 3+ years with cloud data stack; excellent communication skills. | Role: Lead Data Specialist Location: Jackson, MS - 100% remote role Contract Role Job description: Seeks an experienced professional to participate in planning and execution of data cleansing and data migration initiatives and concurrently participate in development of data models, data stack architecture, technical implementation and other critical functions of data management that will enable evidence based Child Welfare Practice. POSITION SUMMARY: This position is full-time (40 hours weekly) and requires an individual to participate as a significantly contributing team member on the MDCPS Data Management Team (DMT). The near-term scope of this team and this position includes participating in data related migration and design activities on the replacement of legacy case management system with the new CCWIS Cloud-Based hosted solution, and additional to that, planning and implementation of cloud-based data stack to enable robust and actionable analytics capabilities at MDCPS. This individual will be reporting to the lead architect on DMT. MAJOR RESPONSIBLITIES: Support and participation in Identification and management of data-related issues / risks and gaps Understanding, conceiving and documenting source and target-state data architectures for applications and cloudbased data analytic platforms Data Pipeline Design and Implementation Development of subject matter expertise in business drivers, business semantic meaning and business practice when providing data management services. Design and Development of ETL architecture and technical work packages Deliver on measurable improvements of data quality metrics Entity Relationship Diagramming, Business Vocabulary, Data Dictionary, Multi-Dimensional Models, Semantic Models Data mapping specifications for migration from large legacy database to new case management application, entity relationship diagrams, data base schema, data dictionary, transformation lineage, business vocabulary/semantic models. Data Set Catalogue Planning and Implementation. Provisioning and managing meta data in the data stack Identifying business rules for complex business metrics and coding calculations for those metrics. Semantic model design and development with time series, hierarchical/drill down views for child welfare metrics Required Skills/Experience: To be considered, all proposed consultants must meet the following mandatory requirements: • Eight (8) years of experience with Multidimensional Model Data Base Design, ETL design and development. • Eight (8) years of experience with data quality and master data management integration. • Eight (8) years of experience with ERD's, business vocabulary, data dictionary and database schema mapping. • Eight (8) years of data analytic implementation projects • Three (3) years of experience with cloud-based data stack tool and platforms • Excellent English-speaking skills, written communication skills, and knowledge transfer skills Preferred/Not Required: Preferred Qualifications: • Experience in Child Welfare data modeling, case management and analytics • Experience with data quality and data exchange components of federal requirements for Child Welfare • management systems • Prior CCWIS experience • Ability to communicate effectively • Ability to build a positive, productive rapport with team members

Lead design and implementation of enterprise-scale AI solutions for financial services automation including LLM-based systems, agentic workflows, and advanced RAG architectures. | 15+ years AI/ML architecture experience with 8+ years in enterprise AI, deep expertise in LLMs, Azure OpenAI, Python, financial services domain, and advanced AI system design and governance. | Job Title: AI Architect Location: NYC, NY - Remote (Candidates only from NY / NJ) Duration: Long-term contract Relevant Experience: 15+ Years • AI Architect to lead the design and implementation of enterprise-scale AI solutions for financial services automation. • Drive architectural decisions for LLM-based systems, agentic workflows, and intelligent document processing platforms serving private equity and fund management operations. Required Qualifications: • 15+ years of experience in AI/ML architecture with 8+ years in enterprise AI solutions. • Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (Lang Graph, LangMem). • Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services. • Strong background in Python, distributed systems, and enterprise architecture. • Experience with Claude Code for agentic coding and AI-powered development. • Proven track record in financial services or regulatory compliance environments. • Expert knowledge of RAG architectures, advanced RAG patterns, and vector database optimization. • Experience with Small Language Models (SLM), Agent-to-Agent (A2A) communication, and Model Context Protocol (MCP). • Proven ability to architect and scale AI solutions for enterprise workloads (1M+ documents, sub-second response times). Key Responsibilities • Design end-to-end AI solutions for private equity fund operations and financial automation. • Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration. • Lead technical strategy for Azure OpenAI GPT-5 integration and advanced embedding-based retrieval systems. • Design and implement advanced RAG architectures, including hybrid search, query routing, and contextual retrieval. • Establish multi-agent systems with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP). • Architect Small Language Model (SLM) integration for specialized tasks and cost optimization. • Design enterprise-scale solutions supporting millions of documents with sub-second query response times. • Establish AI governance, model safety protocols, and regulatory compliance frameworks. • Lead architectural reviews for distributed AI systems, micro services, and cloud-native deployments. • Hands-on development using Claude Code for rapid prototyping and agentic workflows. • Drive architectural reviews for LlamaParse/Azure Document Intelligence integration. • Design fault-tolerant, high-availability AI systems with automatic failover and load balancing. • Establish comprehensive monitoring, observability, and performance optimization strategies. • Mentor technical teams and establish AI engineering best practices using modern toolchains. • Oversee model performance evaluation using LangGraph evals and DeepEval frameworks.