Procurement

• Provide administrative and coordination support across sourcing activities
• Assist in gathering requirements and maintaining request trackers
• Support preparation and organization of RFx (RFI/RFP/RFQ) documents
• Conduct basic supplier research and compile information
• Organize and consolidate supplier responses for team review
• Coordinate meetings, follow-ups, and stakeholder communication
• Maintain trackers, logs, and status updates for ongoing activities
• Support scheduling of supplier discussions and internal reviews
• Ensure timely follow-up on pending actions across teams
• Assist in preparing reports, presentations, and summaries
• Maintain proper documentation and records for all activities
• Support the team in day-to-day project coordination and execution

Sourcing Associate

Customer Success Manager

• Drive product, contact and creative strategies to develop and implement large scale CRM campaigns optimized using machine learning, predictive modeling, and personalized content.
• Manage and execute the marketing campaign process from initial request submission to deployment with a focus on outbound marketing channels (e.g., email, SMS, push).
• Audience segmentation & execution
• QA of touchpoints, personalization elements, any dynamic content, etc..
• Campaign build and deployment
• Design and implement A/B and multivariate tests that yield continuous improvements to our fan strategies and lift conversion rates.
• Optimize lifecycle CRM campaigns (e.g., onboarding, reactivation) using insights and analytics along with automation tools to increase fan LTV.
• Extracting key insights and learnings for future optimization and template efficiency.
• Collaborate with internal stakeholders, partners, and vendors to build the most effective campaign strategies to meet performance targets.

CRM Marketing Specialist, English, Spanish

Full-stack Engineer

• Application Architecture: Design scalable microservices that handle LLM requests, streaming responses (Server-Sent Events), and context management.
• Cloud & DevOps: Oversee the deployment of AI applications on AWS, Azure, or GCP.
• Integrate CI/CD pipelines for AI software components.
• Frontend & Backend Integration: Ensure seamless, low-latency integration between modern frontends (React/Next.js) and Python/FastAPI backends running AI models.

Senior Manager, GenAI Full Stack

QA Engineer

Quality Analyst, ETL Tester

Manager

• Serve as the primary clinical coding advisor for AI product teams, providing guidance on ICD-10-CM/PCS, CPT/E&M, and DRG/inpatient coding rules, conventions, and edge cases.
• Interpret and apply CMS guidelines, LCD/NCD policies, AHA Coding Clinic guidance, and payer-specific policies to AI model training and validation activities.
• Partner with Legal and Compliance teams to ensure coding logic adheres to applicable federal and state regulations, including HIPAA and CMS standards.
• Drive cross-functional alignment on coding standards and AI solution design.
• Collaborate with AI engineers and data scientists to define coding logic, decision trees, and clinical criteria used in AI model development and prompt engineering.

Lead Assistant Manager

• Design, develop, and deploy Generative AI and machine learning solutions using large language models and modern AI frameworks.
• Implement LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques.
• Deploy and manage AI/ML pipelines and GenAI applications in production environments using cloud platforms such as Azure or GCP.
• Build and maintain agentic AI systems leveraging modern orchestration and agent frameworks.
• Work with large datasets to build data pipelines and ensure effective model training and evaluation.
• Develop AI solutions using Python and modern ML libraries.
• Manage deployments and infrastructure in Linux-based environments.
• Ensure secure processing and governance of sensitive data, including PII and PHI, adhering to enterprise security and compliance standards.
• Optimize AI models and infrastructure for performance, scalability, reliability, and cost efficiency.
• Collaborate with cross-functional teams to integrate AI models into enterprise applications and production systems.
• Document model architectures, experiments, deployment pipelines, and operational processes.
• Stay current with emerging developments in Generative AI, LLMs, and AI engineering practices.

Gen AI – Engineering Lead

Data Scientist

• Develop and implement machine learning models to solve business problems.
• Analyze large datasets to extract meaningful insights.
• Collaborate with stakeholders to understand business objectives and data needs.
• Communicate findings to non-technical audiences.

Operations

• Review, Call, Analyze and Manage assigned outstanding receivables portfolio by ensuring outstanding/denied claims are resolved, follow up effectively for additional information as needed with insurance companies for claims resolution, follow up with the insurance company on the outstanding/denied claims and resolve them within the timelines and defined Service Level Agreements (SLA’s),

Operations Executive

Data Engineer

• Work with Automation and distributed processing
• Ability to pull data from sources using APIs
• Handle Data Governance and Data Quality
• Use tools like DataHub, Great Expectations for data management

Financial Planning and Analysis

• Prepare and maintain annual budgets, quarterly forecasts, and long-range financial plans.
• Analyze financial results, identify variances, and provide explanations to management.
• Develop financial models to support strategic initiatives, investments, and business cases.
• Prepare monthly, quarterly, and annual management reports and presentations.
• Partner with business stakeholders to understand operational drivers and financial impacts.
• Monitor key performance indicators (KPIs) and recommend actions to improve performance.
• Support month-end and year-end financial closing activities as required.
• Identify opportunities to improve financial processes, reporting accuracy, and planning efficiency.
• Conduct ad hoc financial analysis to support decision-making and business growth.

Manager, FP&A

Accounts Payable

• Process vendor invoices accurately and within defined turnaround timelines.
• Perform invoice verification, matching, and validation against purchase orders and supporting documents.
• Handle vendor account reconciliations and resolve discrepancies promptly.
• Ensure timely processing of payments through various payment methods.
• Monitor and manage AP mailbox queries and respond to vendor/internal stakeholder requests.
• Support month-end closing activities and reporting requirements.
• Maintain compliance with internal controls, audit requirements, and company policies.
• Coordinate with internal departments and on-shore stakeholders for issue resolution.
• Identify process improvement opportunities and support automation initiatives where applicable.
• Maintain accurate records and documentation for audit and compliance purposes.

Senior Executive – Accounts Payable

Technical Project Manager

• Oversee and lead multiple projects concurrently with expertise in both Agile and Waterfall methodologies.
• Project Planning & Scheduling: Lead projects from requirements definition through to deployment, ensuring schedules, scopes, budget estimations, and implementation plans are accurately created.
• Cross-Functional Collaboration: Coordinate internal and external resources, ensuring effective project execution in collaboration with project staff.
• Progress Monitoring & Adaptation: Analyze project progress and adapt project scope, timelines, and costs as necessary.
• Stakeholder Management: Build strong relationships with key stakeholders, providing regular updates on project status.
• Agile & Waterfall Methodology Coordination: Lead Scrum ceremonies in a hybrid Agile environment.
• SDLC Governance: Review project artefacts for correctness and completeness.
• Project Resourcing & Cost Management: Manage project resourcing, ensuring accurate tracking of actuals and estimates.

Executive, Accounts Payable

Payroll

• Accurately calculate and process payroll
• Maintain records and ensure compliance
• Verify payroll data
• Track and record employee overtime and other payroll elements
• Track and record pay-for-performance (P4P) and other process incentives
• Prepare and process payroll promptly according to established timelines
• Enter and maintain accurate employee payroll information in the system
• Maintain compliance with labor laws and internal company policies
• Address and resolve payroll-related inquiries and discrepancies efficiently
• Generate payroll reports and summaries for internal use and audits

Senior Executive, MIS Payroll

Software Engineer

• Source code available on Git, Coding champion and so on.
• Produce scalable and flexible, high-quality code that satisfies both functional and non-functional requirements
• Develop, deploy, test and maintain technical assets in a highly secure and integrated enterprise computing environment & Support functional testing and UI/UX testing
• Responsible for participating in architecture, data modeling, and overall design sessions.
• Co-ordinate with development & business teams to ensure the smooth execution of the project.
• Collaborate/communicate with on-site project team and business users as required
• Cross train & mentor team members to encourage knowledge sharing.

EXL