Data Engineer

• Design, develop, and optimize scalable ETL/ELT pipelines for data ingestion and transformation
• Build and maintain robust data pipelines using AWS cloud services
• Partner with Business Intelligence, AI/ML, and Infrastructure teams to deliver reliable and scalable data platform solutions
• Develop efficient SQL queries and Python scripts for data processing, automation, and analytics
• Create and maintain technical documentation, including solution designs, data flow diagrams, and operational guides
• Develop unit tests and perform code reviews
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability
• Work on multiple projects simultaneously while managing priorities in a fast-paced environment
• Follow coding standards, best practices, and data governance guidelines

AWS Data Engineer

Manager

• Perform end-to-end testing of healthcare claims processed through the ACAS platform
• Validate claim adjudication outcomes, pricing logic, payment calculations, and benefit application
• Execute test cases for overpayment recovery, refund processing, and claims rework workflows
• Validate payment integrity edits and ensure accurate implementation of business requirements
• Analyze test results, identify defects, document findings, and coordinate with development teams for resolution
• Perform regression, integration, system, and user acceptance testing (UAT)
• Review claims data and validate member, provider, and claim attributes
• Support release validation, production verification, and post-implementation testing activities
• Collaborate with business stakeholders to understand requirements and create comprehensive test scenarios
• Prepare test plans, test cases, traceability matrices, and test execution reports

Assistant Manager

• Perform all HR-related activities from Hire to Retire, including dispute management, exception handling, quality audits, reporting, and month-end deliverables
• Apply understanding of HR modules on ERPs
• Handle critical or risk-involved cases to ensure quick and timely responses
• Manage day-to-day team and processes
• Ensure noise-free operational delivery, including queue management
• Exceed SLA and accuracy parameters
• Improve quality and timelines
• Drive weekly dashboard calls with client stakeholders
• Ensure monthly resourcing aligns with volume predictions
• Manage people and meet company compliance requirements
• Identify training needs, arrange training, and evaluate post-training performance
• Identify process improvement and automation opportunities

Lead Assistant Manager

• Support execution and ongoing improvement of DRG quality review programs, including readmissions and place of service reviews
• Partner with technology, operations, and training teams to implement audit quality solutions
• Oversee day-to-day quality review operations against client SLAs, quality expectations, productivity goals, and internal standards
• Manage quality review inventory, workflow distribution, QA aging, and productivity
• Directly supervise DRG quality analysts through coaching, feedback, and performance management
• Ensure adherence to productivity, quality, accuracy, and SLA standards
• Monitor regulatory and payer guideline updates for compliance
• Support one-on-ones, training, and development planning
• Identify quality, operational, and process gaps and drive improvement initiatives
• Escalate and help resolve client, quality, auditor performance, and operational issues
• Support reporting on productivity, quality, audit accuracy, QA inventory, and defect trends
• Assist with program implementations by defining quality expectations, review criteria, and quality control processes
• Ensure consistency across quality analysts, programs, Operations, Training, and global partners
• Facilitate ongoing development, knowledge depth, and upskilling of quality analysts

DRG Quality Manager

Solutions Engineer

Lead Data Solution Architect

• Develop comprehensive project plans for life and annuity projects, including scope, timelines, resources, budgets, objectives, and deliverables
• Maintain project work breakdown structures, product backlogs, sprint backlogs, project and program charters, scopes, schedules, and resource requirements
• Leverage life insurance and annuity product expertise to guide project requirements, design, and implementation
• Manage cross-functional team members and subject matter experts
• Serve as the primary contact for internal teams, clients, and vendors; provide project updates and address issues
• Ensure compliance with industry regulations, standards, and company policies
• Identify and mitigate project risks
• Monitor and manage project budgets
• Oversee quality of project deliverables
• Maintain project plans, reports, and change requests
• Lead and motivate project teams; provide thought leadership and business insights
• Resolve project-related issues and challenges
• Lead AI initiatives, identify AI automation and analytics opportunities, collaborate with data science and engineering teams, and integrate AI solutions into platforms and workflows such as LifePRO, LDS, portals, and operations systems
• Support digital transformation, efficiency improvements, and measurable business value

Senior Delivery Manager

• Develop comprehensive project plans for life and annuity projects, including scope, timelines, resources, budgets, objectives, and deliverables
• Maintain project plans using work breakdown structures, product backlogs, sprint backlogs, project and program charters, scope definitions, schedules, and resource requirements
• Leverage life insurance and annuity product expertise to guide requirements, design, and implementation
• Manage cross-functional team members and subject matter experts, including objectives, execution oversight, and performance evaluation
• Serve as primary stakeholder contact for internal teams, clients, and vendors; provide project updates and address issues
• Ensure adherence to industry regulations, standards, and company policies
• Identify project risks and develop mitigation strategies
• Monitor and manage project budgets
• Oversee quality of project deliverables
• Maintain project documentation, including plans, reports, and change requests
• Lead and motivate project teams and provide thought leadership and business insights
• Resolve project-related issues and challenges
• Lead AI initiatives, identify AI automation and analytics opportunities, collaborate with data science and engineering teams, and integrate AI solutions into LifePRO, LDS, portals, and operations systems
• Support digital transformation, efficiency improvements, and measurable business value

Delivery Manager

• Lead small-scale operational analytics projects
• Ensure data accuracy and process improvements
• Mentor junior analysts in data collection and analysis techniques
• Create new algorithms from scratch
• Work with large data sets and relational databases
• Analyze issues, identify causes, and recommend solutions quickly
• Develop Advanced Analytics models to optimize business problems
• Perform analysis to identify patterns within data
• Test and develop hypotheses about business problems using data
• Decide on relevant variables for the modelling phase
• Serve as the domain expert for the respective area
• Perform manual selection of claims
• Review audit findings
• Generate new selection concepts and queries

Executive

• Prepare annual premium tax returns, estimates, and miscellaneous filings for US-based entities
• Review filings prepared by other team members for accuracy, completeness, and technical proficiency
• E-file returns via OPTins and make required payments to state authorities
• Perform transaction testing for new business, renewal, reinstatement, cancellation, and endorsement transactions using required applications
• Prepare federal and state workpapers for tax returns and extensions using client-provided data
• Prepare federal, state, and local tax returns, including extensions, for US-based partnerships, corporations, and S corporations using GoSystem, OneSource, and similar software
• Create e-file XMLs of returns using IRS-approved platforms, software, and applications
• Support the onshore team with tax audits as they arise
• Apply financial accounting and reporting, taxation and compliance, financial analysis, and client engagement knowledge
• Use ERP systems, preferably Workday and BlackLine

Senior Executive

SDET

• Analyze project requirements to understand testing effort
• Estimate testing time, resources, and budget and obtain management support
• Organize testing kick-off meetings
• Define the test strategy
• Build and assign work to a testing team
• Identify training requirements and communicate them to the Project Manager
• Develop test plans covering tasks, dependencies, participants, and quality risks
• Arrange hardware and software requirements for the test setup
• Test end-to-end data warehousing systems from data modeling through reporting
• Turn gathered requirements into ETL and reporting test cases and scripts
• Author test strategies, test plans, test cases, and test scripts
• Document, implement, monitor, and enforce testing processes according to organizational standards
• Review test case documents and reports prepared by test engineers
• Track new and changed project requirements
• Escalate project requirement issues to the Project Manager or Senior Test Manager
• Organize status meetings and send daily and weekly status reports to the client
• Attend regular client calls and discuss weekly status
• Act as the single point of contact between development and testers
• Track testing results, test coverage, resources, defects, defect status, and performance baselines
• Ensure timely delivery of testing milestones
• Prepare and update metrics dashboards at phase or project completion

ETL Test Engineer

Associate

• Processing NON PO/PO invoices and handling exceptions
• Entering time-sensitive utility invoices and researching past-due amounts to ensure current accounts
• Ensuring SLA targets are achieved
• Processing all invoices by month-end
• Comprehending complex information quickly and responding with clear solutions

AI Engineer

• Manage GenAI model production pipelines, debug defects, and provide root cause assessments
• Build and orchestrate LLM-based workflows using frameworks such as LangChain, including prompt engineering and pipeline design
• Implement Retrieval-Augmented Generation (RAG) architectures using vector databases such as Pinecone for semantic search and contextual retrieval
• Work with document ingestion and extraction workflows for unstructured documents, including PDFs, scans, and forms, using tools like AWS Extract and GenAI-based extraction techniques
• Collaborate with engineering, product, and business stakeholders to define data requirements, evaluation metrics, and success criteria
• Communicate findings and insights to technical and non-technical audiences through visualizations, reports, and presentations
• Stay current with industry trends, tools, and best practices in Generative AI, LLMs, data science, and analytics
• Mentor junior team members and contribute to continuous learning and technical excellence

• Lead, train, and mentor staff members to ensure high engagement and productivity
• Provide training and mentorship to support staff development and performance
• Monitor client service quality
• Address escalated client issues and resolve them in a timely manner
• Prepare and manage reporting and MIS for the team

• Preparation of annual premium tax returns, estimates and other miscellaneous filings for US based entities
• Review filings prepared by other team members for accuracy, completeness and technical proficiency
• E-file returns via OPTins and make the required payment to the state authority
• Perform transaction testing for New Business, Renewal, Reinstatement, Cancellation and Endorsement transactions using required applications
• Prepare federal and state workpapers for tax returns and extensions using primary data provided by the client