DevOps Engineer

• Collaborate closely with data teams to support the development and deployment of innovative and efficient data solutions.
• Respond to and fulfill platform requests from various data teams of the client, including internal business stakeholders, data analytics professionals, data engineers, and quality assurance teams.

DevOps Engineer, AWS

Manager

• Lead, mentor, and develop a team of UAT analysts responsible for planning and executing UAT activities.
• Manage team workload, resource allocation, prioritization, and performance evaluations.
• Develop career paths, training plans, and skill-building strategies for the UAT team.
• Foster a culture of quality, accountability, and continuous improvement.
• Own and maintain the organization’s UAT methodologies, frameworks, processes, and best practices.
• Define standards for test planning, acceptance criteria, documentation, defect workflows, and quality controls.
• Establish governance processes for test sign-offs, production readiness, and traceability.
• Direct the team in developing test plans, test scripts, test cases, and test data needs based on business requirements.
• Review and approve testing strategies, scope, timelines, and success criteria.
• Ensure execution quality, completeness of test coverage, adherence to timelines, and proper documentation of evidence.
• Provide senior-level guidance on risk areas, testing gaps, and mitigation strategies.
• Oversee end-to-end defect lifecycle management, ensuring clear documentation, prioritization, communication, and resolution.
• Partner with technical teams, project managers, and operations stakeholders to drive resolution of high-impact defects.
• Facilitate go/no-go discussions related to outstanding issues before production deployment.
• Serve as the primary liaison between business stakeholders, project teams, IT, QA, and operations regarding UAT activities.
• Ensure the team has appropriate test environments, data, and tools in place.
• Communicate testing progress, risks, dependencies, and major defect trends to senior management and project leaders.
• Oversee creation of UAT dashboards, status reports, test metrics, and executive summaries.
• Ensure all testing complies with regulatory, audit, and internal quality standards.
• Maintain comprehensive traceability between requirements, test scripts, and results.
• Identify process inefficiencies and lead initiatives to optimize testing effectiveness and team productivity.
• Evaluate and recommend UAT tools, automation opportunities, and data-management improvements.
• Promote a feedback-driven environment to enhance testing maturity across the organization.

UAT Testing Manager

Auditor

• Apply your expert clinical knowledge to validate the accuracy of billed charges.
• Ensure the integrity of the paid claim including coding validation, payment accuracy, contractual requirements and compliance with regulations.
• Utilize industry and EXL proprietary tools in the review process.
• Write professional communications documenting audit findings and supporting rationales.
• Identify audit trends and opportunities for improvement.

Healthcare Auditor III, Skilled Nursing Facility – Resource Utilization Group

Risk

• Lead research and insight projects that drive strategic decisions and improve customer experience.
• Use domain knowledge along with research and analytical skills for market sizing, market landscaping, workflow analysis and pricing analysis.
• Analyse data, develop reports and dashboards, and communicate insights to the business across global and region-specific coverage areas.
• Conduct Excel-based analysis linking multiple data points to identify impactful insights and trends.
• Perform data preparation and quality control as needed to ensure data accuracy and integrity.
• Liaise with key senior business stakeholders to understand their business problems and propose analytical solutions.
• Conduct multi-source synthesis and integration of data using databases and secondary research, ensuring timely stakeholder engagement and communication.
• Blend technical analytics skills with strong domain and business understanding to support marketing and commercial organisations in making the right strategic decisions.
• Build and maintain expertise on the market landscape in the context of the business through individual learning and regular team interactions.
• Support broader team programmes, processes, and simplification initiatives as needed.

Strategy, Sales Enablement – Lead

Recruitment

• Responsible for the intake of new job openings, updating candidate workflow status’ in Oracle Fusion ATS, and sourcing passive profiles on LinkedIn Recruiter.
• Assure proper and accurate data entry into the ATS for a seamless handover to the Onboarding team of selected candidates for hire.
• Evaluate job applicant resumes and phone screen for a possible fit for the role.
• Submit prescreened candidates to the Recruiting Lead and Hiring Managers for consideration to proceed with HM interviews
• Ability to applicant requirements by studying job description and job qualifications
• Arrange candidate interviews by coordinating, scheduling, and sending calendar invites as needed
• Maintain accurate candidate workflow status’ within the ATS and on the team’s trackers
• Will perform other duties as assigned

Recruiter – U.S. Team

• Oversee sub-function and team activities, providing leadership and direction to the team
• Manage client coordination, issue resolution, and escalation management
• Align resources and shifts according to the client business requirements
• Monitor key performance parameters of the process and ensure strict adherence to SLAs/KPIs
• Partner with the client on process improvement and transformation initiatives
• Lead tri-party governance meetings and ensure timely resolution of issues
• Review small change requests/forms, provide effort estimates, seek the client approval, and coordinate implementation post-approval
• Drive overall service quality, stakeholder satisfaction, and continuous improvement in procurement and invoice processing

SAP Ariba Consultant

Operations

• Oversees the implementation of Highmark Clinical Case Management Support including but not limited to Case Management (CM) screening/Telephonic Outreach/Program Enrollment/Task Support for Case Management and monitors daily performance to ensure business goals are met and compliance with Highmark policies and procedures is maintained.
• Implements clinical policies & procedures in accordance with NCQA, URAC, state and federal standards and mandates.
• Serve as a content model expert and mentor to the team regarding practice standards, quality of interventions, problem resolution and critical thinking.
• Ensure implementation and monitoring of best practice approaches and innovations to better address the member's needs across the continuum of care.
• Protects the confidentiality of member information and adheres to company policies regarding confidentiality.
• Manages resources responsible for identification of members, development and implementation of care plans, enhancement of medical appropriateness and quality of care and monitoring.
• Communicates productivity expectations, balance workload (e.g., daily team meetings to discuss new referrals), monitor efficiency and initiate control measures to minimize variances in workload over time.
• Ensures the team's understanding and use of information system capability and functionality.

Assistant Manager – Healthcare Operations Management, Case Management Nursing

• Manage, scale, and optimize cloud environments used for data science workloads (primarily AWS, Databricks, dbt).
• Provision, maintain, and optimize compute clusters for ML workloads (e.g., Kubernetes, ECS/EKS, Databricks, SageMaker).
• Implement and maintain high-availability solutions for mission-critical analytics platforms.
• Deep expertise in AWS resource management and provisioning, including IAM roles and permissions.
• Develop CI/CD pipelines for model deployment, infrastructure-as-code (IaC), and automated testing using industry standard toolchains
• Build monitoring, alerting, and logging systems for cloud and ML infrastructure (e.g., Datadog, CloudWatch, Prometheus, Grafana, ELK).
• Automate provisioning, configuration, and deployments using tools such as Terraform and CloudFormation, GitHub actions, etc.
• Enable and improve data ingestion, transformation, and model execution workflows through platform capabilities and automation.
• Develop and maintain self-service capabilities for data scientists to provision and manage reliable, reproducible environments for research and development.
• Collaborate with Data Engineering to maintain integrations between data pipelines and cloud systems.
• Share responsibility for provisioning and operating application networking capabilities that support data platforms, including API gateways, CDNs, application load balancers, TLS, and WAFs.
• Implement and operationalize data science security and compliance controls for data science platforms in alignment with enterprise cloud standards.
• Conduct periodic risk assessments,best practice reviews, and remediation efforts to strengthen security and resiliency.
• Support secure handling of sensitive financial data.
• Partner with data scientists, machine learning engineers, and data engineers to deeply understand and support their needs and workflows within data-driven initiatives.
• Serve as a technical advisor on cloud architecture, performance optimization, and production readiness for data and ML platforms.
• Adopt and champion Agile, DevOps, and Platform Engineering practices (kanban, scrum, continuous improvement, automation, Everything-as-a-Service)
• Demonstrate a strong, proactive focus on serving internal customers, prioritizing user experience, identifying opportunities to leverage automation and self-service to reduce toil and cognitive load for developers and researchers.

AWS Cloud DevOps

Business Intelligence Analyst

• Ensure accurate and timely resolution of insurance claims through careful review, investigation, and collaboration.
• Review adjudicated claims for accuracy and compliance.
• Evaluate claims processing policies, guidelines, and provider contracts.
• Analyze historical overpayment trends and claims data to identify patterns or outliers.
• Assess insurance claims to determine coverage, liability, and eligibility.
• Confirm key claim details such as claim ID, date of service, refund amounts, and overpayment reasons.
• Validate claim information in internal systems and match details against provided documentation.
• Conduct thorough investigations, gathering all relevant documentation needed for resolution.
• Work closely with internal teams and insurance adjusters to gather information and resolve issues.
• Support team members as needed to ensure smooth project execution.
• Calculate correct claim payments.
• Maintain clear, organized records of claims, findings, and communications.
• Track overpayment projects and ensure high-quality, timely updates.
• Follow all client and company policies without exception.

Senior Reporting Analyst, Healthcare Claims

• Establish and operate the Service Desk Team layer across Shared Services.
• Design, implement, and govern Service Management processes, tools, and reporting frameworks.
• Optimize first-line triage, request management efficiency, and SLA performance across service towers.
• Build capability to improve first-contact resolution of customer requests and escalations.
• Develop operational insights and implement tactical and strategic Service Improvement Plans.
• Drive continuous improvement through structured problem management processes.
• Build and execute a Service Desk Team roadmap with clear milestones and measurable outcomes.
• Ensure service quality aligns with release and deployment governance standards.
• Establish strong stakeholder engagement and communication channels across all levels and third-party providers.
• Accountable for end-to-end service delivery across inbound triage and front-line support channels.
• Oversee resolution of service requests, escalations, and operational incidents within agreed SLAs.
• Act as escalation point for complex issues beyond the standard support model.
• Lead root cause investigations for service failures and implement corrective actions.
• Oversee daily service operations to ensure consistent, high-quality customer experience.
• Maintain and continuously enhance Service Management capability and maturity.

Assistant Manager

Consultant

• Assist in analyzing business processes
• Support development of business requirements
• Document analysis processes
• Perform basic data analysis
• Collaborate with senior analysts

Consultant II

Data Analyst

• Deliver monthly reporting activities, ensuring KPIs and spend data is regularly and accurately refreshed
• Pulling together complex data sets to produce dashboards and reporting packs
• Identify reporting inconsistencies and implement appropriate solutions
• Ensure that reporting packs and presentations are delivered on time

Data Analyst, Procurement Function

Analyst

• Review the work performed by AR Analyst team and document any quality issues.
• Review call quality issues on various parameters such as conversational skills, claims resolution, and voice quality.
• Participate in developing process documentation.
• Provide feedback and work with the training team to provide remedial training.
• Always be at the forefront of ethical behavior and never be a bystander.

Senior Quality Analyst

Actuary

• Design and implement AI solutions
• Define AI architecture and standards
• Optimize AI systems for performance
• Ensure alignment with business goals
• Provide technical leadership.

Actuarial Analyst – Pricing, Model Development, Calibration

• Own end-to-end delivery of data management features, ensuring on-time and high-quality output.
• Break down large initiatives into milestones, sprints, and actionable tasks.
• Coordinate work across engineering, data science, product, and infrastructure teams.
• Monitor progress, manage risks, and adjust plans when requirements evolve.
• Ensure architectural decisions align with data strategy, scalability, and reliability goals.
• Provide directions on Data modeling, Data pipelines (ETL/ELT), Data governance & quality frameworks, Metadata management, Data lineage tools