Huron

Product Manager

• Serve as the product owner for IT supporting Talent Acquisition, internal staffing/resource management, and contingent labor processes
• Partner with stakeholders to understand priorities, translate needs into a clear product roadmap, and drive adoption of system and process enhancements
• Lead cross-functional delivery of enhancements, working closely with technical, reporting, integration, and security teams to ensure scalable and secure solutions
• Oversee ongoing optimization and issue resolution, ensuring timely and effective responses to system inquiries and defects
• Evaluate Workday weekly and bi-annual releases to identify new functionality and improvements that enhance recruiting, workforce, and talent operations
• Leverage the Workday Community to research solutions, contribute ideas, and influence product direction
• Champion continuous improvement to ensure Huron’s talent and workforce systems keep pace with business needs and industry best practices.

IT Product Manager – Workforce Solutions

Manager

• Design and document comprehensive Desk Level Procedures (DLPs) across claims, benefits, enrollment, and configuration workflows
• Translate business processes and system functionality into clearly defined, step-by-step operational procedures for end users
• Develop DLPs that outline:
• Standard workflows
• Exception handling processes
• Step-by-step issue resolution procedures
• Ensure documentation is accurate, complete, and aligned with current Facets system behavior and business rules
• Partner with configuration teams to align DLPs with Facets system setup across membership, billing, claims, benefits, provider, and pricing modules
• Translate configuration logic into operational procedures for claims processing, adjustments, and issue resolution
• Support troubleshooting of claims and benefit-related issues tied to configuration gaps or system logic
• Validate that operational processes reflect accurate claims adjudication workflows and system dependencies
• Provide deep subject matter expertise in:
• Membership including premium billing
• Claims adjudication workflows
• Benefits configuration and plan design
• Provider payment and reimbursement processes
• Develop procedures that help teams:
• Investigate errors
• Identify configuration issues
• Execute corrections and reprocessing steps
• Ensure procedures support consistent, compliant claims and benefits operations
• Create DLPs that clearly outline:
• How to identify root causes of claims or configuration issues
• Step-by-step actions to resolve issues within Facets or downstream systems
• Escalation paths and cross-team dependencies
• Partner with operational and IT teams to analyze recurring issues and improve existing procedures
• Drive consistency in how teams diagnose and resolve claims, configuration, and workflow issues
• Collaborate with Claims, Enrollment, Provider Configuration, IT, and Operations teams to define and validate processes
• Translate complex technical and system concepts into clear, business-friendly documentation
• Support training initiatives by providing DLP documentation and operational guidance for end users
• Continuously evaluate and enhance DLPs to improve:
• Operational efficiency
• Accuracy and consistency
• Issue resolution timelines
• Standardized procedures across clients and environments to ensure repeatable, scalable delivery models
• Support system implementations, conversions, and operational transformations with DLP development

DLP, Desk Level Procedures Manager

Financial Planning and Analysis

• Lead end-to-end financial reconciliation processes across premium billing, and payment workstreams
• Reconcile data across Facets (including 834s) and FRM, and downstream financial systems to ensure consistency and accuracy
• Perform variance analysis to uncover financial leakage, misapplied payments, or configuration-driven errors
• Analyze and support Facets and FRM configuration to ensure financial outcomes align with contract intent
• Partner with configuration and IT teams to troubleshoot financial discrepancies tied to system setup or rule logic
• Ensure alignment between financial reporting outputs
• Ensure reconciliation processes support CMS, Medicare Advantage, and Medicaid financial and reporting requirements
• Support financial validation for risk adjustment and regulatory reporting
• Prepare and review financial data used for audits, compliance checks, and external reporting
• Validate cross-system data to ensure accurate financial reporting and reduce revenue leakage risks
• Develop and implement solutions to improve data quality, reconciliation accuracy, and financial transparency
• Partner with Finance, Actuarial, Enrollment, EDI, and IT teams to resolve reconciliation and reporting issues
• Translate business and financial requirements into clear reconciliation frameworks and system requirements
• Provide strategic guidance to clients on best practices for financial operations and reconciliation processes
• Design and implement automated reconciliation processes and reporting tools
• Support system testing (UAT, regression, validation) to ensure financial accuracy
• Document reconciliation methodologies, controls, and operational procedures

Financial Reconciliation Manager

Data Engineer

• Build and contribute to the AI context platform
• Implement end-to-end pipelines: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving
• Build and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources
• Contribute to retrieval quality improvements (query strategies, hybrid search, metadata filtering) in partnership with AI engineers
• Deliver semantic and governed data products
• Implement semantic layers (metrics/entities) that power BI and agent reasoning consistently
• Apply established data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations)

Data Engineer – AI, Agents, Context, Revenue Cycle

• Architect and own the AI context platform
• Design end-to-end platform architecture: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving
• Define scalable patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources
• Set technical direction for retrieval quality (query strategies, hybrid search, metadata filtering, reranking)
• Evaluate and select infrastructure, tooling, and cloud services to support platform needs across AWS/Azure/GCP environments
• Design and deliver semantic and governed data products
• Architect and implement semantic layers (metrics/entities) that power BI and agent reasoning consistently across the platform
• Define data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations)
• Establish standards for discoverability, documentation, and reusability across datasets and indexes
• Own the dbt or semantic layer tooling strategy and ensure consistent application across workstreams
• Own reliability and performance at the platform level: monitoring, alerting, SLAs/SLOs, runbooks, incident response, and postmortems
• Drive cost and latency optimization across Snowflake, lakehouse, and vector infrastructure
• Set engineering standards for CI/CD, testing, and evaluation (retrieval eval sets, regression tests, online telemetry)
• Implement security-by-design: RBAC/ABAC patterns, PII redaction, retention controls, audit logging, and safe access pathways for agent tools
• Partner with Security/Legal/Compliance to define and enforce guardrails for AI access to enterprise knowledge
• Own governance patterns for sensitive data handling across the platform
• Drive technical roadmap decomposition with product, AI, and application stakeholders
• Facilitate architectural decisions across teams and functions, building alignment without direct authority
• Set best practices and mentor engineers via design reviews, code reviews, and documentation

Data Architect – Healthcare Insights, Supply Chain, Manager

• Architect and own the AI context platform
• Design end-to-end platform architecture: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving
• Define scalable patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources
• Set technical direction for retrieval quality (query strategies, hybrid search, metadata filtering, reranking) in partnership with AI engineers
• Evaluate and select infrastructure, tooling, and cloud services to support platform needs across AWS/Azure/GCP environments
• Design and deliver semantic and governed data products
• Architect and implement semantic layers (metrics/entities) that power BI and agent reasoning consistently across the platform
• Define data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations)
• Establish standards for discoverability, documentation, and reusability across datasets and indexes
• Own the dbt or semantic layer tooling strategy and ensure consistent application across workstreams
• Own reliability and performance at the platform level: monitoring, alerting, SLAs/SLOs, runbooks, incident response, and postmortems
• Drive cost and latency optimization across Snowflake, lakehouse, and vector infrastructure
• Set engineering standards for CI/CD, testing, and evaluation (retrieval eval sets, regression tests, online telemetry)
• Implement security-by-design: RBAC/ABAC patterns, PII redaction, retention controls, audit logging, and safe access pathways for agent tools
• Partner with Security/Legal/Compliance to define and enforce guardrails for AI access to enterprise knowledge
• Own governance patterns for sensitive data handling across the platform
• Facilitate architectural decisions across teams and functions, building alignment without direct authority
• Set best practices and mentor engineers via design reviews, code reviews, and documentation

Data Architect – Market

• Build and contribute to the AI context platform
• Implement end-to-end pipelines: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving
• Build and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources
• Contribute to retrieval quality improvements (query strategies, hybrid search, metadata filtering) in partnership with AI engineers
• Deliver semantic and governed data products

Data Engineer – AI, Agents, Context – Senior Associate

Software Engineer

• Lead intake, scoping, and documentation of clinical research data requests
• Convert clinical and research needs into technical specifications
• Design, build, and maintain data assets for research use
• Write, test, and optimize SQL queries
• Manage and execute data requests within defined scope
• Identify and resolve data issues, validate new data sources
• Conduct on-demand data analysis to support research and decision-making
• Develop and maintain documentation, including technical specifications

Senior Consultant – Epic Report Developer

Procurement

• Completes tasks, requests, and projects assigned by the P2P team
• Supports the business on procurement requests, including verifying business need, scope, and terms
• Works with vendors on quotes, proposals, and negotiating terms
• Coordinates with business owners, contracting, and other teams as needed before execution of agreements
• Reviews and negotiates all US based purchase requests
• Negotiates with Vendors and ensures purchases comply with Huron’s process and requirements
• Collaborate with other functional and technical teams on business needs, information, applications, and long-term plans while helping to ensure integration with strategic plans
• Reviews purchase requisitions from business, works requests through to approval and contracting and issue of purchase order
• Evaluating current vendor management programs and identifying ways to improve them
• Manages completion of requests across multiple priorities and deadlines
• Helps maintain contract repository and reporting, both manual and through Huron’s contract management tools (Excel, DocuSign, Agiloft, Workday, etc.)
• Helps ensure renewals and requests are completed on time, and with proper lead time
• Define all business inputs such as Selection, Pricing, InStock, Speed, Quality and Fulfilment Strategy
• Works with vendor and business to achieve the best value to Huron
• Helps business prepare for renewals or purchases and evaluate vendor options
• Assists with formal RFP process as needed
• Conducting research on available vendors to determine which vendors offer the best pricing and product quality
• Assists with overall Vendor Management escalations, tracking, reporting, and review
• Creates and maintains spend analysis reporting as assigned
• Reviews, investigates, and resolves invoice and PO inquiries, matching to contract terms and scope
• Maintains proper vendor documentation and tracking through process for tracking and compliance, creates/runs reports as requested
• Works on projects as assigned, such as vendor tracking, analysis, research, or other vendor management initiatives (diversity tracking, compliance reports, spend reports, etc.)
• Creates pivot tables, reports, and analysis from raw data dumps and varied data sources
• Follows company request and approval processes, ensures purchases receive necessary approvals before completion

Procurement Associate

Analytics Engineer

• Design, develop, and deploy ETL workflows using Informatica IICS (Cloud Data Integration)
• Build scalable data pipelines integrating multiple data sources (databases, APIs, flat files)
• Implement data transformations, cleansing, and enrichment logic
• Optimize ETL jobs for performance and scalability
• Design and execute test strategies, test cases, and test plans for ETL workflows
• Perform source-to-target data validation and reconciliation
• Develop automated and reusable validation queries/scripts
• Implement and monitor data quality rules and checks
• Identify, log, and track defects; ensure timely resolution
• Collaborate with business analysts, data architects, and stakeholders to understand requirements
• Participate in UAT support, release validation, and production verification
• Ensure adherence to data governance and data quality standards
• Maintain detailed technical and test documentation
• Contribute to continuous improvement of ETL and QA processes

QA Developer, ETL

Program Manager

• Lead and deliver large-scale enterprise transformation programs
• Own end-to-end program strategy, governance, planning, and execution across multiple interdependent projects and workstreams
• Ensure alignment across business, technology, and delivery teams
• Engage with strong stakeholder engagement, executive presence, and the ability to influence and align senior stakeholders across the client organization
• Manage risks proactively and communicate progress to senior leadership
• Train and align business readiness and new capabilities into workflows

Program Director – Enterprise Transformation

Consultant

• Provide subject matter expertise by assessing client needs and delivering solutions within the Cerner system
• Guide clients on workflows, system design, build, training, testing, and integration points
• Conduct system testing and validation to ensure functionality and data integrity
• Identify system optimization and enhancement opportunities
• Provide ongoing technical support and troubleshooting for Cerner end users
• Develop and maintain documentation for system configurations
• Create user guides, manuals, and training materials
• Coordinate and manage project timelines, resources, and deliverables
• Observe and monitor pharmacy workflows
• Maintain strong communication with project managers, leadership, and team members

Health Consultant – Blood Bank, Oracle PathNet

• lead the design and delivery of cost accounting and service line margin engagements for hospitals and health systems
• apply various costing methodologies including Time-Driven Costing (TDABC) and step-down methodologies
• connect cost intelligence directly to high-stakes client decisions
• play an integral role in decision support offering
• partner with project and relationship leaders in client interactions with CFO and VP Finance stakeholders
• contribute to the development of reusable engagement playbooks and delivery templates

Healthcare Financial Advisory Manager – Decision Support, Cost Accounting

Accounting Manager

• Lead design for Chart of Accounts and end-to-end accounting in cloud-based ERP Financials and EPM implementations
• Evaluate institutions’ use of Oracle Cloud ERP and identify optimizations related to financial management and reporting
• Partner with finance leaders and stakeholders to translate accounting, budgeting, and financial management requirements into future-state ERP designs
• Provide functional expertise across institutions’ financial operations
• Collaborate with integration, conversion, reporting, finance, grants, payroll, and student or affiliate systems teams
• Support pre-sales and business development activities
• Serve as a trusted advisor and thought partner
• Contribute to the development of standards, templates, and best practices

Digital Consulting Manager – Oracle Cloud, Higher Education Accounting Lead

Director

• Lead complex performance improvement engagements
• Manage engagement-wide economics, including budgets and revenue forecasting
• Apply analytical and critical thinking skills
• Communicate effectively to understand client challenges
• Build strong executive-level relationships and lead change processes