Account Manager

• Lead development of innovative solutions that accelerate growth EXL’s insurance business by integrating EXL’s Data and AI capabilities with partner offerings
• Manage onboarding activities such as InfoSec, Data Privacy, and Cyber Security reviews
• Provide architectural guidance and lead creation of solution demos and marketing assets
• Drive seamless delivery of POCs and implementations

Solution Consultant – Insurance Partnerships

Auditor

• Follow every aspect of SOP without fail
• Complete received Audits with Quality
• To achieve Quality and production target
• Follow project related protocols and instructions
• Escalate issues, identify trends...
• Update all the logs like productivity, Clarification log, and any other logs applicable on a daily basis.
• Check with Manager /TL in case of clarifications
• All emails from Manager should be answered promptly without fail
• Problem solving skill sets
• Ensure compliance of entire team for HIPAA,OIG

Senior Coding Auditor

• Follow every aspect of SOP without fail
• Complete received Audits with Quality
• To achieve Quality and production target
• Follow project related protocols and instructions
• Escalate issues, identify trends
• Update all the logs like productivity, Clarification log, and any other logs applicable on a daily basis.
• Check with Manager /TL in case of clarifications
• All emails from Manager should be answered promptly without fail
• Problem solving skill sets
• Ensure compliance of entire team for HIPAA,OIG

Data Scientist

• Lead the development and optimization of complex data models
• Oversee data science project management and execution
• Mentor junior data scientists
• Ensure data solutions align with organizational goals
• Provide strategic guidance on data science technologies.

Data Scientist – Insurance Analytics

Production Engineer

• Responsible for leading detailed design, end-to-end development (front-end and back-end)/unit testing and integration of applications & Design client-side and server-side architecture
• 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
• Responsible for addressing production support issues on day-to-day basis and closing them on time.
• Responsible for on time delivery connected with other teams
• Cross train & mentor team members for complete knowledge of technologies.
• Analyze and translate business requirements to technical design with security and data protection settings.
• Collaborate/communicate with business users
• Work with development team and product managers to ideate software solutions.
• Manage expectation regarding road blocks, proactively, in the critical path to help ensure successful delivery of the solution
• Own all projects deliverables and ensure proper communication between teams and quality levels; responsible for end to end solution delivery
• Comprehend the fundamental solution being developed/deployed – its business value, blueprint, how it fits with the overall architecture, risks, and more.

Software Production Engineer

Architect

• Develop new designs, architectures, best practices, templates, standards, guidelines, models in direct support of 1 and 5 year payer market strategy and business growth targets.
• Create application and database architectures for optimal scaling, configurability, compliance and modular re-use in both cloud (Azure and AWS, Databricks, SqlServer) and on-prem (Windows, dotNET) platforms.
• Incorporate the latest in AI LLM approaches to augment the productivity, quality and efficacy of transactional applications and blending of unstructured data with structured data.
• Assess existing applications and databases for scalability. Develop solutions for performance bottlenecks and growth.
• Evaluate new AppDev technologies.
• Develop various POC’s for new applications, services and application components showcasing innovative approaches to scalable data architectures.
• Evaluate business processes - manual and automated and recommend solutions for improved productivity, quality, flexibility, throughput.
• Assist in business proposal development and presentation to management and customers.
• Mentor, train and provide expert assistance to development teams.
• Production Support - Level 3 as needed.
• Assist in project planning and AGILE methodology implementation and daily planning and execution activities.
• Act as the tech voice in executive meetings, cross-functional governance sessions, and client-facing solution presentations.

Senior Manager – Architect

Manager

• Ensure that business data needs are clearly defined, governed, and implemented across systems.
• Gather and document business data needs.
• Define functional and non-functional requirements for data systems.
• Map data from source systems to target systems.
• Support data quality, lineage, and governance standards.
• Collaborate with data engineers, architects, ETL developers, and reporting teams.
• Define data validation and reconciliation criteria.

Executive Assistant

• This is a Business Analytics role which requires the individual to be hands-on-subject-matter expert of either Financial Analytics and Risk Analytics in financial services industry.
• As part of this role the individual will be expected to provide expertise and advisory to the customer based on Data Analysis, Qualitative Due Diligence and creating high impact dashboards.
• Experience in Credit Risk, Loss Forecasting, Portfolio monitoring, Financial analytics will be preferred.
• Additionally, in this role, this person will have to act as an onsite coordinator for the offshore team.
• The individual is expected to have excellent communication and delegation skills.
• The role will include becoming the front face of the offshore team to present outcomes to the client stakeholders and gather requirements.

Senior Assistant Vice President – Business Analytics

Data Analyst

• Lead and manage a Fraud Monitoring Analytics team of ~5 data analysts.
• Oversee delivery of fraud‑focused analytics projects across U.S. banking channels.
• Act as primary client engagement lead, ensuring alignment on all fraud monitoring initiatives.
• Provide technical and domain guidance across SQL, Python, PySpark, Spark, and big‑data environments.

Lead Data Analyst

Frontend Engineer

• Design front end interface for web applications.
• Programming & Front End experience: 3+ years of experience and high proficiency in React, Typescript and Cloud, including coding complex programming solutions.

Front End Engineer

• Serve as the main liaison between assigned clients and internal delivery, product, and support teams.
• Develop a deep understanding of client business goals, pain points, and success metrics.
• Proactively manage relationships to ensure satisfaction, retention, and growth of client accounts.
• Lead regular client meetings, QBRs (Quarterly Business Reviews), and feedback sessions to monitor engagement and performance.
• Collaborate with cross-functional teams to ensure timely and high-quality delivery of services and solutions.
• Identify opportunities for upselling, cross-selling, and service expansion.
• Monitor client health through KPIs, satisfaction surveys, and issue resolution tracking.
• Address client concerns or escalations promptly and effectively.
• Keep abreast of industry trends and client-specific developments to provide strategic input and value-added insights.
• Maintain accurate client records, activity logs, and reports using CRM tools

Consultant

• Schedule on-site surveys and provide risk evaluation and risk improvement reports to insurance industry clients
• Manage assignments, secure customer appointments, and complete work assignments on time
• Work on special projects or conduct risk evaluation surveys
• Conduct underwriting surveys and loss control assessments
• Engage business owners to discuss corporate safety culture and risk management
• Document hazards for underwriting and make recommendations for risk improvement
• Complete detailed survey report write-ups

Loss Control Field Consultant

• Collaborate with clients to understand business needs, objectives, and challenges.
• Conduct research, data analysis, and industry benchmarking.
• Leads platform engineering initiatives to build scalable data pipelines, optimize compute workloads, and enable high‑performance analytical and operational decision systems.
• Drives GenAI‑enabled use cases by combining advanced data engineering with LLM orchestration, enrichment pipelines, and secure AI deployment patterns within Palantir.

Management Consultant

• Set the Analytics Vision: Define and execute the enterprise analytics strategy, ensuring alignment with organizational objectives and driving measurable business outcomes.
• Lead and Mentor: Guide a team of Product Analysts and Data/BI Engineers, strengthening analytical rigor, solution craftsmanship, and professional growth.
• Partner and Advise: Collaborate with business stakeholders to uncover requirements, shape problem statements, and recommend best-in-class data and technology solutions.
• Translate to Action: Convert business needs into structured analytical workstreams, ensuring clarity of scope, prioritization, and delivery.
• Influence Through Insight: Leverage data storytelling, behavioral analytics, and cross-functional collaboration to embed a data-driven mindset across Product, Marketing, Engineering, and Design.
• Orchestrate Solution Delivery: Oversee the full lifecycle of data-driven solutions—from research and ideation to design, development, testing, and deployment—ensuring scalability and adoption.
• Measure What Matters: Establish, monitor, and evolve KPIs for product and operational initiatives, presenting insights that guide decisions at both operational and executive levels.
• Advance Analytical Innovation: Develop new analytical frameworks, statistical techniques, and predictive models to deepen understanding of product performance and customer journey

Senior Engagement Manager

• Own enterprise data architecture across conceptual, logical, and physical models, including data standards, naming conventions, and best practices.
• Design reusable architecture patterns (CDC ingestion, SCD handling, lakehouse/warehouse layers, medallion architecture) and architect scalable ETL/ELT + ingestion frameworks for end-to-end integration and transformations.
• Build and optimize warehouse/datamart architectures for analytics and reporting with strong focus on performance tuning (partitioning, clustering, indexing, query optimization).
• Ensure data governance, quality, lineage, metadata management, and secure access controls (RBAC, encryption, masking).
• Drive architecture reviews, technical decisions, and create/maintain documentation (architecture diagrams, data flows, ERDs, integration specs) ensuring alignment with enterprise standards.
• Collaborate with business stakeholders, data engineers, cloud, and BI teams to translate requirements into validated solutions.
• Client-facing role with end-to-end ownership of data architecture and delivery in a high-stakes, high-impact environment.