Jobs at Guidehouse

Develop, modernize, test, troubleshoot, and support mission-critical enterprise loan-processing applications using ColdFusion, BoxLang, JavaScript, and Oracle databases. Translate business and technical requirements into secure, maintainable solutions; integrate new functionality with legacy systems; support releases, production operations, and system conversions; and collaborate with stakeholders and technical teams in an Agile environment. Contribute to application and database design, documentation, continuous improvement, and modernization initiatives.

Lead fraud risk management, prevention, assessment, and operational improvement initiatives. Identify risks, develop mitigation strategies, coordinate stakeholders, manage dependencies, and drive recommendations through implementation. Research emerging fraud trends and create SOPs, governance frameworks, requirements, process documentation, executive briefings, presentations, and reports. Translate complex fraud topics into actionable guidance for technical, operational, and executive audiences.

Develop and deploy UiPath-based RPA solutions for internal and external clients. Responsibilities include requirements gathering, process documentation, automation development, testing, deployment, queue management, scheduling, exception handling, debugging, governance, and Center of Excellence support. The role also involves business process analysis, system design, process optimization, change management, tool selection, and collaboration with developers, analysts, testers, and consulting teams.

Analyze and maintain recruitment, onboarding, workforce, participant, and program-performance data for the NIH DataForce Service Program. Develop trackers, dashboards, reports, and briefing materials; monitor participant lifecycle activities; identify data-quality issues, risks, trends, and process improvements; and support recurring monthly and quarterly analyses. Collaborate with program managers, mentors, coordinators, and government stakeholders while protecting sensitive information and ensuring Section 508 accessibility compliance.

Leads healthcare performance transformation consulting for hospitals and health systems. Designs and implements clinical effectiveness, operational optimization, workforce, supply chain, revenue management, and productivity programs. Manages complex multi-site engagements, budgets, workstreams, client relationships, business development, proposals, and delivery assurance. Mentors consulting staff and advises healthcare executives while supporting practice methodologies and growth.

Leads healthcare consulting engagements to improve clinical, financial, and operational outcomes for payer and provider clients. Responsibilities include workflow redesign, resource utilization improvement, data and business process analysis, complex analytics, project management, client relationship management, financial impact assessment, proposal development, and executive presentations. The role also supports business development, team leadership, and implementation of operational improvement initiatives, with travel up to 75%.

Leads healthcare consulting engagements focused on financial, clinical, and operational improvement for hospitals and provider organizations. Performs data and business process analysis, develops recommendations, manages project deliverables, coordinates teams, presents results to executives, and supports proposals and business development. Uses Excel, Tableau, Power BI, and other tools to analyze large datasets, benchmark performance, identify savings opportunities, and improve operational processes.

Own end-to-end production data platforms, writing Python and SQL, designing AWS pipelines, modeling analytics data, and implementing quality and reconciliation controls. Make architecture decisions independently, ensure correctness and auditability, and use AI coding tools effectively. The role also supports applied AI initiatives including entity resolution, LLM-assisted analytics, embeddings, and anomaly scoring.

Develop AI and machine learning solutions for fraud, anomaly detection, semantic search, entity resolution, and investigative analytics. Build and operationalize models across structured and unstructured data using AWS data lakehouse services, generative AI, NLP, graph analytics, and document intelligence. Evaluate model performance, explainability, monitoring, and risk scoring while supporting production integration, dashboards, and investigative workflows. Collaborate with technical teams, investigators, stakeholders, and federal clients in an Agile environment.

Design and implement enterprise Databricks architectures supporting data engineering, analytics, AI/ML, and governed data products. Administer workspaces, Unity Catalog, compute, security, automation, and platform operations. Translate business and security requirements into technical designs, governance standards, deployment patterns, and operational playbooks. Partner with cloud, cybersecurity, identity, networking, and DevOps teams across Azure, AWS, and GCP. Lead architecture reviews, troubleshoot platform issues, advise clients, and support secure, scalable production deployments.

Develop, train, evaluate, deploy, and monitor machine learning and statistical models using Databricks, Python, SQL, Spark, Delta Lake, and MLflow. Prepare datasets, engineer features, manage model lifecycles, validate data, and support governance practices. Translate client requirements into scalable analytics solutions, analyze trends, and communicate findings to technical and non-technical stakeholders while collaborating across data science, engineering, cloud, security, and business teams.

Design, build, and maintain scalable batch and streaming data pipelines using Databricks, PySpark, Python, SQL, Spark, and Delta Lake. Develop transformations, orchestration workflows, data models, validation processes, and curated data products. Troubleshoot performance and quality issues, apply governance and security practices, document solutions, and collaborate with architects, data scientists, DevOps teams, analysts, and clients.

Leads Salesforce discovery and requirements workshops, designs and configures scalable solutions, documents technical designs, and serves as a functional subject matter expert. Collaborates with architects, QA, change management, and delivery teams throughout engagements. Supports UAT, defect resolution, data migration validation, training, go-live readiness, and hypercare. The role also contributes to internal enablement and knowledge sharing while maintaining delivery utilization targets.

Designs, develops, tests, and maintains enterprise ETL/ELT solutions, data pipelines, warehouses, operational data stores, and reporting marts. Responsibilities include data mapping, transformation, validation, performance tuning, data quality checks, troubleshooting, documentation, production support, and compliance with governance and security standards. The role collaborates with architects, database administrators, analysts, and application teams in Agile environments.

Lead design, development, testing, and deployment of cloud-native full‑stack applications and microservices. Provide technical leadership, mentor engineers, implement CI/CD and automated tests, and drive modernization using GCP or similar cloud platforms, containers, and enterprise security best practices.

The SailPoint Engineer will design, code, maintain applications, implement IAM solutions, and participate in peer reviews, requiring strong knowledge of SailPoint and programming.

Leads ServiceNow implementation projects by gathering requirements, translating business needs into technical designs, and collaborating with development teams. The role supports process analysis, stakeholder engagement, configuration and enhancement efforts, testing, training, documentation, and technical assessments. Candidates need at least three years of ServiceNow or similar implementation experience, an active Secret clearance, SDLC and Agile knowledge, and familiarity with key ServiceNow modules.

Design, develop, customize, integrate, test, and deploy Microsoft Dynamics 365 and Power Platform case management solutions. Gather technical requirements, create architectures and implementation plans, support data migration and custom code, conduct client demonstrations, document risks, and improve development and release processes. Collaborate with clients, architects, project leads, and business analysts while traveling to customer locations as needed.

Design, develop, and deploy Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include requirements gathering, architecture, CRM customization, integrations, data migration, testing, technical documentation, client demonstrations, risk mitigation, and improving development and release processes.

Design and implement Salesforce solutions using Apex and Lightning Web Components; build integrations (REST/SOAP, OAuth/JWT, Named Credentials), create tests (Apex/Jest), support CI/CD and Salesforce DX, participate in Agile delivery, produce technical documentation, and collaborate with architects and government stakeholders.