TAG - The Aspen Group

Credentialing Specialist

• Execute licensure and credentialing processes for new and existing providers
• Source and maintain up-to-date information regarding licensing and credentialing requirements
• Report licensure and credentialing expiration dates to providers and Field Operations Management Team
• Work closely with the enrollment team to ensure proper processing of Provider credentials

Facilities Coordinator

• Manage daily facility management of dental equipment and maintenance issues.
• Communicate effectively with internal customers and vendors.
• Oversee billing management for Facilities tickets.
• Run small projects from start to finish.

Application Engineer

• Own the day-to-day operations of our enterprise Workforce Management platform and a portfolio of business applications supporting 1,000+ locations across multiple brands.
• Maintain the data pipelines that feed workforce analytics reporting, ensuring accuracy and security across the chain.
• Lead resolution of high-priority production incidents affecting workforce operations, and own restoration of service within defined response and resolution targets.
• Own platform health proactively through monitoring, alerting, maintenance, and performance optimization — identifying and resolving risk before it reaches the field.
• Manage vendor relationships and configuration alignment for the systems in scope, including defect management and product roadmap input.

Senior Business Application Engineer

People Operations

• Lead our human resources function for ClearChoice
• Develop and execute a comprehensive human resources strategy
• Oversee a team of senior HR leaders focused on employee engagement
• Partner with talent acquisition leaders to align workforce planning
• Collaborate with cross-functional teams to align people strategies

Vice President of People

Project Manager

• Lead Optimization Needs Assessments for Assigned Functions
• Partner with L&D, HR, and business leaders to assess optimization needs within supported teams.
• Synthesize qualitative and quantitative insights to identify gaps, root causes, and opportunities, and translate findings into prioritized, impact-driven recommendations that inform L&D roadmaps and continuous improvement efforts.
• Execute Learning Optimization Initiatives
• Drive execution of learning optimization strategies aligned to the broader L&D vision.
• Manage initiatives as structured projects—defining scope, success metrics, timelines, and milestones—while identifying opportunities to improve learner engagement, content effectiveness, and program scalability.
• Enable Program Evaluation & Continuous Improvement Capability
• Lead and support the development of continuous improvement practices across the L&D team by guiding evaluation of program effectiveness using participation data, learner feedback, and business performance inputs.
• Build team capability in identifying trends, conducting root cause analysis, and implementing iterative enhancements to improve relevance, learner experience, adoption, and measurable outcomes over time.
• Enable Program Delivery Excellence & Build Project Management Capability
• Lead end-to-end project management across design, development, deployment, and facilitation while elevating team capability in project management rigor.
• Establish and model best practices including clear project planning, timeline and dependency management, risk mitigation, and stakeholder communication.
• Coach and support L&D team members in adopting consistent tools, frameworks, and operating rhythms to drive high-quality, on-time delivery and sustained operational excellence.
• Analyze Learning Data & Provide Insights
• Collect, analyze, and interpret learning metrics (engagement, completion, satisfaction, application, and impact).
• Translate data into actionable insights, identify optimization opportunities, and provide regular, data-driven recommendations to L&D and business leadership.
• Support Learning Technology Optimization
• Partner with LMS administrators and vendors to enhance system functionality, user experience, and content accuracy.
• Monitor usage trends, identify system-related barriers, and drive continuous improvements to increase adoption and effectiveness of learning technologies.
• Serve as a Senior Learning Partner
• Act as a trusted advisor to assigned business areas, aligning learning solutions to evolving skill, performance, and engagement needs while reinforcing a culture of continuous learning and improvement.
• Mentor & Model Best Practices
• Provide guidance and informal mentorship to junior team members. Promote best practices in project management, continuous improvement, facilitation, and stakeholder engagement to elevate overall team capability.

Senior Manager, Learning and Development – Optimization & Continuous Improvement, Project Management and Governance

Learning and Development

• Lead Optimization Needs Assessments for Assigned Functions
• Drive execution of learning optimization strategies
• Lead end-to-end project management across design, development, deployment
• Collect, analyze, and interpret learning metrics
• Act as a trusted advisor to assigned business areas

Senior Manager, Learning and Development – Optimization & Continuous Improvement – Learning Technology

General

• Perform insurance adjudication, customer service, and patient collection functions
• Partner with internal departments to resolve issues
• Point of contact for internal and external customer inquiries
• Use software and company systems for data reporting
• Respond to and resolve issues related to claim adjudication

Revenue Cycle Management Specialist

AI Engineer

• Architect and develop enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks using Google ADK, Agentspace, MCP, RAG, and A2A orchestration
• Design and implement RAG pipelines using BigQuery and Vertex AI Engine for knowledge grounding and factually accurate responses
• Optimize agents for orchestration, knowledge grounding, multi-step reasoning, and decision-making
• Design and implement distributed training workflows, online inference systems, and low latency serving architectures optimized for real-world performance, using Google cloud-native services
• Engineer scalable, secure, compliant and production-grade AI fabric and AI agent workflows using Vertex AI and modern cloud-native technologies
• Create reusable agent orchestration layers, observability hooks, and governance frameworks that accelerate Agentic AI adoption across TAG brands
• Partner with cross-functional stakeholders in translating business requirements into technical specifications
• Own the full AI development lifecycle – from data collection and implementation to deployment and monitoring
• Implement intelligent observability and automation strategies to ensure AI system reliability and performance at scale

Staff AI Engineer

• Plan, coordinate and oversee the rollout of new programs or operational processes within field operations.
• Create business cases, return on investments and executive level presentations.
• Document scope of services for each project and analyze performance metrics and training; and create scalable playbooks for national deployment.
• Partner with key departments – including Operations, IT, Learning & Development, Communications, Marketing, Talent Acquisition, Human Resources, Scheduling Center and Product teams – to ensure smooth implementation and stakeholder alignment.
• Execute communication and training strategies that drive adoption, engagement and long-term sustainability.
• Identify opportunities for efficiency, standardization and continuous improvement across field operations.
• Track performance metrics, feedback from field teams; prepare regular updates for leadership.
• Anticipate potential implementation barriers, proactively develop mitigation plans and ensure resolution during implementation phases; inform management and leadership teams of any vendor, partner or customer issues or challenges.
• Balance stakeholder needs, create road maps, divisional calendars and align teams to drive business priorities and strategies.
• Act with integrity and adhere to core values consistently.

Project Manager, Field Operations

Platform Engineer

• Set technical direction for the platform: drive architecture decisions, write ADRs, evaluate trade-offs, and bring the team along.
• Design, build, and operate platform services on GCP, covering compute (GKE, Cloud Run, Compute Engine), networking, IAM, secrets, observability, and CI/CD integrations.
• Author and maintain Terraform modules and a clean state strategy across multiple GCP projects and environments.
• Import, refactor, and clean up legacy infrastructure when needed.
• Build and operate GKE clusters: workload identity, networking, ingress (nginx), autoscaling, upgrades, policy, and cost controls.
• Stand up serverless and PaaS patterns for application teams (Cloud Run, Cloud Functions, Pub/Sub, Workflows) with sensible defaults baked in.
• Partner with our AI / Software Engineers to operationalize agents and models: Vertex AI Agent Engine deployments, model endpoints, eval and observability pipelines, prompt/secret management, and CI/CD for AI artifacts.
• Implement secure-by-default CI/CD with GitLab using Workload Identity Federation: no long-lived keys, least-privilege service accounts, reproducible deploys.
• Contribute to Azure and AWS work as needed: networking, identity, storage, and helping align patterns across clouds.
• Improve developer experience: golden paths, paved roads, internal docs, and templates that make the right thing the easy thing.
• Mentor other engineers on the team through code review, pairing, design feedback, and knowledge-sharing.
• Raise the technical bar across CloudOps.
• Lead incident response and post-incident reviews for systems you own and help mature how the team operates on call.

Senior Platform Engineer

Cloud Engineer

• Build and optimize email, SMS, and MMS campaigns using Journey Builder, Email Studio, Automation Studio, and Content Builder
• Develop dynamic content, personalization, and conditional logic using AMPScript and SSJS
• Design, maintain, and optimize data extensions, contact models, and automations within Salesforce Marketing Cloud
• Develop landing pages and microsites using CloudPages
• Build and maintain integrations between Salesforce Marketing Cloud and external systems using REST and SOAP APIs, OAuth, JSON, and XML
• Partner cross-functionally with program managers, stakeholders, and developers to align on technical requirements and successful execution
• Work across a multi-cloud Salesforce environment including Sales Cloud, Health Cloud, Data Cloud, Datorama, Evergage, and Attentive
• Support reporting and automation frameworks across business stakeholders utilizing platforms such as Power BI, Tableau, Google Cloud, and Datorama
• Provide production support, including troubleshooting, root cause analysis, and deployment of enhancements and fixes
• Identify opportunities to improve scalability, automation efficiency, and overall platform performance
• Contribute within an Agile development environment and support technical best practices across the team