Technical Program Manager

• Own end-to-end program governance across enterprise-scale technology initiatives - scope, schedule, risk, dependencies, and stakeholder alignment.
• Define and maintain robust program plans, milestones, and KPIs; drive accountability across technical and business workstreams without direct authority.
• Establish and continuously improve PMO frameworks, templates, and delivery standards aligned to technical delivery realities.
• Lead program status reviews, steering committee meetings, and executive reporting; translate complex technical delivery realities into clear, constructive narratives for senior stakeholders.
• Proactively identify risks, interdependencies, and capacity constraints across technical teams; own mitigation plans through to resolution.
• Manage integrated release planning, aligning technical dependencies and milestones across engineering teams, platform squads, and external partners.
• Bridge gaps between business, technology, architecture, and operations teams - ensuring strategic alignment without creating delivery bottlenecks.
• Drive the integration of AI-enabled delivery management capabilities, reporting tools, and workflow automation practices to improve operational efficiency and delivery outcomes across platforms.
• Establish oversight practices for AI-assisted delivery reporting, dependency management, and resource planning to ensure transparency, quality, and effective decision-making.

Technical Program Manager – PMO

Producer

• 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.

Production Manager – 1:1 Fan Engagement Marketing

Backend Engineer

• Designing and governing end to end AI architectures on Azure ecosystem
• Enabling intelligent automation and decision support across insurance functions
• Building scalable, secure, and production grade GenAI platforms
• Defining architectural patterns and leading implementation teams
• Partnering with business and technology stakeholders for AI solutions
• Establishing evaluation frameworks for GenAI solutions

AI Architect, .NET Developer

Underwriter

• Requires knowledge and ability to prepare journals, complete month close activities and reconciliations, investigate problems and organize projects
• Candidates should have strong analytical skills to run the mass allocations and understand the number flow from allocations runs, and verifications between subsystems and mainframe systems.
• Should have hands on experience in performing the Balance sheet recs and US State fillings.
• Should be able to work under pressure and meet the deadlines of time bound activities.
• Coordinate with internal and external stakeholders to investigate the unreconciled balances
• Stakeholder management (Internal/ External) to resolve process or system issues
• Good technical knowledge is required to understand the activities, process work flow and client expectations
• Review and publish of open/aged items analysis report. **
• Experience of working on Blackline Tool, SAP , BI Lauchpad and PowerBi will be an added advantage

LAM Underwriting BI Reporting

Consultant

• Participate in end-to-end delivery of AI-enabled consulting engagements—from proposal through final outputs
• Structure problem statements, define analytical approaches, and translate findings into actionable recommendations
• Analyze business processes and operational data to identify inefficiencies, root causes, and improvement opportunities
• Conduct stakeholder workshops to capture processes, pain points, controls, data touchpoints, and AI enablement areas
• Develop current- and future-state artifacts (process maps, SOPs, journey maps, RACI) aligned to AI-driven transformation
• Perform data analysis and work decomposition to quantify impact, benefits, and business case value
• Create executive-ready presentations, narratives, and deliverables for senior stakeholders
• Collaborate with cross-functional teams to validate insights, shape AI-driven solutions, and track emerging AI and industry trends

Associate – Transformation Solution Consultant

Manager

• Set departmental goals, manage budgets, lead cross functional teams, and ensure compliance with policies.
• Set departmental goals, manage budgets, lead cross functional teams, and ensure compliance with policies.

Senior Manager

Data Analyst

• Lead complex data analysis projects, interpreting large datasets to extract actionable insights for business stakeholders.
• Collect, clean, analyze large datasets
• Create dashboards
• Develop predictive models
• Assist in decisionmaking

Senior Data Analyst

Auditor

• Conduct comprehensive MS-DRG and APR-DRG readmission reviews to ensure accuracy in DRG assignment and reimbursement.
• Apply expert knowledge of coding guidelines and utilize industry-leading tools to maximize overpayment identifications.
• Craft clear, concise, and well-supported audit findings.
• Utilize advanced DRG encoder tools (such as 3M, Webstrat) to drive efficiency and accuracy in audits.
• Meet or exceed EXL’s quality and productivity standards.
• Stay ahead of industry trends, coding updates, and compliance regulations.

Diagnosis Related Group (DRG) Readmission Auditor

• Serve as the primary contact for provider audit inquiries, claims reimbursement progress, and service-related concerns.
• Provide training and education on claims audit record submissions, timelines, and process guidelines.
• Assist providers in optimizing portal usage and understanding service enhancements.
• Identify and address operational inefficiencies while implementing data-driven solutions.
• Research and resolve complex claims issues, ensuring timely and effective communication of resolutions.
• Collaborate with internal teams to improve tools, resources, and provider support systems.
• Utilize business knowledge and sound judgment to navigate ambiguous situations and address non-standard requests.
• Build and maintain strong provider relationships, ensuring their needs are met while aligning with company policies.
• Contribute to the success of the Provider Touch Team by fostering collaboration and enhancing the overall provider experience.

Provider Touch Specialist – Lead Assistant Manager

Actuary

• Design and develop application solutions
• Optimize application performance and functionality
• Ensure applications meet user and business requirements
• Provide technical support for applications
• Collaborate with stakeholders to address application needs.

Pricing Actuary

• Conduct comprehensive IRF payment integrity audits using various documents.
• Validate IRF-PAI completion and supporting documentation.
• Identify documentation, coding, and reimbursement discrepancies.
• Review client payment methodology and contracting requirements.
• Craft clear, concise audit findings with rationale and financial impact.

DRG / IRF Auditor

Trainer

• Train and mentor new and experienced DRG auditors
• Build easy-to-follow training materials, guides, and online modules
• Review audits for accuracy, provide helpful feedback, and coach coders
• Spot trends, analyze root causes, and improve overall coding quality
• Help shape smarter, more efficient audit processes
• Keep our team up to date with the latest rules, tools, and best practices

Diagnosis-Related Group (DRG) Trainer

Cloud Engineer

• Configure and Deploy Azure Cloud Services utilizing Infrastructure As Code and Automation
• Collaborate with Software Developers, gathering technical requirements and developing Infrastructure as Code to deploy Azure Cloud Services for customer-facing hosted applications
• Work in a collaborative team environment, sharing, evaluating, and reviewing code, processes and operations
• Develop, maintain and manage code in Azure DevOps/GIT working with Bicep, Terraform, Azure Resource Manager (ARM) and PowerShell
• Full understanding of Agile, Scrum and CI/CD methodology
• Understand and implement security utilizing Users, Groups, and Permissions, both from Active Directory
• As needed complete work during maintenance windows/off hours; act as an escalation point for 24 x 7 systems
• Configure, maintain, and troubleshoot infrastructure, software, and systems connectivity
• Administer and manage DataBricks, Power BI
• Develop and implement business continuity and disaster recovery plans related to cloud services
• Discover and implement opportunities to utilize Artificial Intelligence
• Ability to train and mentor engineers to build growing team

Azure Cloud Engineer

AI Engineer

• AI / ML engineer. With Agentic AI, generative AI, ML, ML OPS, XGboost

AI/ML Engineer

Analyst

• Performs advanced data analytics including monitoring performance, query development, opportunity assessments, trend identification and bulk data inserts.
• Develop, evolve, deploy, and manage analytic and reporting services and processes, ensuring all deliverables meet the requirements of customers and EXL’s Health business goals.
• Produce scalable and flexible, high-quality code that satisfies both functional and non-functional requirements.
• Coordinate and prioritize analytical including client communication, planning, and identifying operational process flow, ability to plan, manage and execute projects within the targeted timelines.
• Responsible for addressing production support issues on day-to-day basis and closing them on time.
• Propose new and state of – the – art technologies and processes that will improve efficiency and enhance the reporting platform.