Ardent

Analyst

• Conduct investigative analysis supporting government benefit fraud and financial crime cases
• Analyze structured and unstructured data from public and non-public sources to identify fraud indicators, anomalies, and behavioral patterns
• Apply knowledge of fraud typologies, including identity fraud, eligibility fraud, and organized fraud schemes
• Support case development through detailed analytical findings and investigative insights
• Utilize analytical tools such as SQL, Excel, Neo4j, and i2 Analyst’s Notebook (or comparable link analysis platforms)
• Perform link analysis to identify relationships among entities, transactions, and suspicious activity
• Query and manipulate datasets to support investigative hypotheses and case validation
• Prepare investigative reports, case summaries, and referral packages suitable for law enforcement action
• Ensure all findings are clearly documented, well-supported, and professionally presented
• Translate complex data analysis into clear, actionable intelligence products
• Brief findings to senior government stakeholders in both written and verbal formats
• Collaborate with investigative teams, analysts, and government partners to refine case direction
• Support decision-making through clear, concise, and timely analytical reporting

Senior Investigative Analyst

Accountant

• Conduct complex financial analysis related to the tracing of fraud proceeds, including money laundering and asset forfeiture investigations.
• Analyze bank records, financial transactions, and other financial documentation to identify patterns of illicit activity.
• Support large-scale forensic accounting assignments involving federal benefit programs and related fraud investigations.
• Trace funds through multi-layered financial transactions across large criminal or civil litigation matters.
• Apply advanced financial investigative techniques using commercial databases and other intelligence sources.
• Identify, extract, and interpret relevant financial data to support investigative and legal proceedings.
• Develop detailed financial reports, summaries, and exhibits to support findings and case development.
• Work closely with federal law enforcement, legal teams, and internal stakeholders to support ongoing investigations.
• Provide expert-level financial insight in support of fraud detection, money laundering investigations, and asset recovery efforts.
• Contribute to case strategy discussions and investigative planning.
• Prepare clear, concise, and well-documented financial analysis reports suitable for legal and regulatory use.
• Maintain accurate records of analysis, methodologies, and findings in accordance with investigative standards.
• Develop visual and written presentations using Excel, PowerPoint, and other analytical tools.

Senior Forensic Accountant

Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.
• Ingest, transform, and integrate data from diverse sources, including flat files, JSON, XML, Excel, REST APIs, graph databases, and other structured and unstructured data formats.
• Develop and optimize SQL and Python-based data processing solutions to support efficient data ingestion and transformation.
• Build and maintain reusable, scalable data workflows that support business intelligence, reporting, and advanced analytics.
• Load, manage, and optimize data within modern data platforms, including Databricks Unity Catalog and SQL Server Managed Instances.
• Support both batch and streaming data ingestion frameworks.
• Implement and maintain modern Lakehouse architecture solutions to improve scalability, performance, and accessibility.
• Monitor and optimize database and pipeline performance to ensure efficient processing and storage.
• Implement data quality controls to ensure the accuracy, consistency, reliability, and integrity of enterprise data.
• Maintain data lineage and metadata to support governance and regulatory compliance.
• Apply enterprise data management (EDM) standards and best practices throughout the data lifecycle.
• Support data governance initiatives, including documentation, validation, and quality assurance activities.
• Collaborate with cross-functional teams, including data analysts, software developers, architects, and business stakeholders, to understand data requirements and deliver effective solutions.
• Support analytical environments focused on fraud detection, anomaly detection, financial oversight, and other data-driven initiatives.
• Troubleshoot and resolve data pipeline, integration, and performance issues while continuously improving existing processes.

Advisor

• Resolve inquiries to complete satisfaction via phone, email, and chat, acting as the primary point of contact for members throughout their journey.
• Manage the backend tasks required to move members through healthcare processes, including appointment confirmations, medical information retrieval, and troubleshooting.
• Build strong, empathetic bonds with clients and advocates, navigating tough conversations with grace and a solution-oriented mindset.
• Identify bottlenecks or 'friction points' in the customer journey and collaborate with leadership to implement automation or workflow optimizations.
• Act as a natural troubleshooter, guiding users through basic browser, mobile app, or connectivity issues related to the platform.
• Meticulously document all interactions in the CRM and track feedback to help our partners build a world-class experience.
• Facilitate quick resolutions for site-specific issues and ensure seamless handoffs between clinical teams and advocates.

Care Advisor I

Facilitator

• An Ardent Facilitator will be responsible for organizing and conducting training focused on sales product and skills training.
• Sessions include a combination of In-Dealership Training, In-Dealership Consulting, traditional Instructor-Led Training and/or Workshops and Virtual Instructor-Led Training/Coaching.
• On average, there is 48 weeks of facilitation, including an in-person Train-the-Trainer (T3) event annually; a combination of flying and driving will be required to reach dealerships within an assigned territory.

Automotive Dealership Facilitator

• Lead application development efforts for enterprise geospatial solutions.
• Develop, enhance, and maintain geospatial applications, user interfaces, workflows, and APIs.
• Support new development and maintenance of existing geospatial solutions.
• Collaborate with infrastructure, security, data, and program teams to ensure applications meet DHS IT requirements.
• Support implementation and maintenance of ArcGIS Enterprise and related geospatial services.
• Develop web-based GIS applications, dashboards, and integration workflows.
• Support geospatial data management, visualization, analysis, and application integration activities.
• Participate in application testing, troubleshooting, performance tuning, deployment, and maintenance activities.
• Develop and maintain technical documentation, application specifications, and user guides.
• Support cybersecurity, role-based access, and privacy requirements within application development activities.
• Provide technical guidance to application development team members.
• Support development, testing, production, and operations and maintenance environments.

Senior Geospatial Application Developer

• Develop, enhance, and maintain enterprise geospatial applications, user interfaces, workflows, and APIs.
• Support new development and maintenance of existing geospatial solutions.
• Develop web-based GIS applications, dashboards, and integration workflows.
• Support implementation and maintenance of ArcGIS Enterprise, ArcGIS Server, and related geospatial services.
• Develop applications supporting geospatial data visualization, analysis, and management activities.
• Integrate geospatial applications with enterprise systems, data platforms, and business applications.
• Collaborate with infrastructure, security, data, and program teams to ensure applications meet DHS IT requirements.
• Participate in application testing, troubleshooting, performance tuning, deployment, and maintenance activities.
• Develop and maintain technical documentation, application specifications, and user guides.
• Support cybersecurity, role-based access, and privacy requirements within application development activities.
• Support development, testing, production, and operations and maintenance environments.
• Assist with user support, training, and issue resolution activities.

Geospatial Application Developer

General

• Manage end-to-end credentialing for a steady caseload of providers across one client.
• Review and process credentialing applications submitted via CAQH ProView or client-specific onboarding forms; identify missing or incomplete information and initiate timely follow-up with providers or clients
• Execute all primary source verifications (PSVs) using our clients software platform, including licensure, education, training, board certification, DEA, NPI, NPDB, and sanctions checks
• Interpret PSV results and apply credentialing judgment to flag discrepancies, exclusions, or items requiring escalation.
• Compile complete, audit-ready credentialing files per client standards and URAC guidelines
• Meet or exceed weekly productivity targets (case volume) while maintaining individual quality metrics at or above team benchmarks
• Maintain accurate, up-to-date provider records in our clients or the client’s platform throughout the credentialing lifecycle.
• Coordinate with providers, office managers, and client contacts via email to collect outstanding documentation; outreach is via e-mail and largely automated; at most, a team member will need to document notes following our scripts to make clear to providers what information is missing from their credentialing application.
• Represent our client with professionalism and a client-focused attitude.
• Use Salesforce (CRM) and our client's platform as primary workflow management tools; log all case activity accurately
• Contribute observations about workflow inefficiencies or recurring errors to Team Lead for process improvement discussion
• Complete assigned training, onboarding milestones, and any compliance certifications within the required timeframe.

Credentialing Specialist

• Lead the planning, design, execution, and continuous improvement of outreach, engagement, and training activities in support of the DHS Geospatial Management Office (GMO) programs.
• Responsible for stakeholder engagement, training development, communications strategy, and ensuring accessibility and compliance of all digital content.
• Serve as the primary point of contact for outreach coordination.
• Support government-hosted events and manage web and graphic publishing tasks.
• Design, develop, and deliver training programs, briefings, and geospatial product demonstrations tailored to stakeholder needs.
• Plan and coordinate stakeholder communications, including messaging, strategy, and material preparation.
• Ensure compliance with Section 508 accessibility standards and DHS web/graphic publishing guidance.
• Provide ongoing customer outreach, respond to inquiries, and facilitate access to geospatial information.
• Track and respond to stakeholder needs using automated management systems.
• Create, publish, and manage content on program-related websites and digital platforms.
• Monitor and enhance stakeholder engagement strategies.
• Supervise and provide leadership to junior outreach and training staff.

Geospatial Trainer/Outreach

• Serve as the primary point of contact for geospatial data acquisition and quality management.
• Lead efforts for acquiring, validating, and integrating new geospatial datasets.
• Develop and enforce QA/QC protocols for data accuracy, metadata, and compliance.
• Manage delivery of geospatial data per Government schedules and specifications.
• Coordinate high availability and disaster recovery strategies for data systems.
• Monitor geospatial systems and implement automated backup and recovery tools.
• Oversee access control and Data Use Agreement (DUA) automation and compliance.
• Provide 24/7 on-call technical support for incidents and system issues.
• Maintain and publish the HIFLD Data Catalog with accurate and updated metadata.
• Develop and update SOPs and documentation on data management processes.
• Research and apply federal standards and best practices in data governance.
• Lead creation of proof-of-concept geospatial products using DHS or GMO platforms.
• Prepare white papers with recommendations for improving data processes and tools.
• Collaborate with stakeholders on geospatial demonstrations, briefings, and exchanges.
• Support software renewals, license management, and interconnectivity agreements.

Geospatial Scientist, Data Publishing and Cataloging

• Lead the development and refinement of methodologies for geospatial data collection, acquisition, and maintenance ensuring alignment with mission needs.
• Manage data intake, prioritize data needs based on use cases from DHS components and Mission Partners, and ensure quality control throughout acquisition and delivery processes.
• Maintain and update Standard Operating Procedures (SOPs) related to data acquisition, refresh, quality assurance, and data publishing.
• Oversee budget management for data acquisition to secure high-priority and high-value data products.
• Define and enforce requirements for geospatial data including accuracy, coverage, resolution, formats, licensing, update frequency, and system compatibility.
• Maintain comprehensive lists of data providers and datasets; identify and engage high-quality geospatial data providers.
• Utilize professional networks and government guidance to identify potential new data sources and providers.
• Manage procurement or production activities to ensure timely delivery of high-quality, licensed geospatial data.
• Maintain ongoing communication with data providers regarding data use, dissemination, security, quality, and acceptance criteria.
• Negotiate licensing agreements and purchasing options to achieve best value while ensuring compliance with usage permissions.
• Provide technical support and oversight to ensure data products meet acceptance criteria and mission requirements.
• Facilitate technical demonstrations and presentations of geospatial data and analyses for stakeholders and Mission Partners.
• Support integration of data products into government systems and ensure seamless coordination with other program activities.
• Lead QA/QC efforts, including data review, validation, and application of standardized checklists to ensure accuracy and consistency.
• Manage feedback loops with data users and providers to identify and implement content improvements and resolve data quality issues.
• Develop and maintain geospatial metadata, ensuring completeness, consistency, and usability for downstream applications.
• Automate data processing workflows where feasible, maintaining documentation and tools for reproducible data review.
• Oversee data registration, cataloging, publication, hosting, and federation within government geospatial platforms.
• Ensure compliance with applicable standards and regulations (e.g., FGDC, ISO) and apply best practices in geospatial data lifecycle management.
• Monitor and analyze performance metrics and user feedback to continuously improve data acquisition and management processes.
• Maintain documentation of all processes, data integration plans, and QA/QC plans to support program transparency and continuous improvement.
• Inform government stakeholders promptly of any issues impacting cost, schedule, or performance.

Geospatial Scientist – Data Collection, Quality

Solutions Engineer

• Lead architecture, design, and implementation of enterprise-scale technology solutions.
• Conduct business and technical discovery sessions with stakeholders to identify requirements and solution strategies.
• Develop solution architectures supporting cloud-native, hybrid, and enterprise application environments.
• Provide technical leadership throughout the full software development lifecycle, from planning and design through deployment and support.
• Evaluate emerging technologies and provide recommendations regarding adoption of new tools, platforms, and methodologies.
• Support modernization initiatives involving cloud engineering, containerization, microservices, DevSecOps, and platform automation.
• Design solutions utilizing multiple data stores, including relational and NoSQL technologies.
• Develop architecture standards, interface standards, performance standards, and quality assurance practices.
• Support implementation of enterprise data architecture, data governance, and metadata management strategies.
• Provide guidance regarding data integration, data conversion, and enterprise information architecture initiatives.
• Collaborate with development, infrastructure, cybersecurity, and business teams to ensure successful solution delivery.
• Present technical recommendations, roadmaps, and architecture strategies to executive leadership and stakeholders.
• Support implementation of AI and machine learning capabilities where appropriate to enhance mission outcomes.