Jobs at EXL

Supports information security audit, assurance, and first-line compliance activities across internal, external, and client audits. Reviews policies and processes, assesses security capabilities, provides application security assurance across on-premises and cloud environments, and produces dashboards and management reports. Maintains certifications including ISO 27001, PCI DSS, HITRUST, and SOC; tracks audit gaps, identifies security risks, develops mitigation plans, and coordinates closure with stakeholders.

Manage workforce scheduling, forecasting, staffing, and schedule adherence while producing accurate intraday performance reports. Consolidate, validate, and analyze data; create dashboards and customized reports; maintain employee information in workforce systems; identify process improvements; automate repetitive tasks; and coordinate with internal and external stakeholders to support operational efficiency and financial goals.

Handle customer queries about undelivered home orders and store stock, including delivery booking, order tracking, faulty delivery issues, returns, and parcel-related concerns. Provide support through email, chat, and voice channels while resolving customer delivery requests.

Drive process management and QA to meet SLAs, develop process improvement and innovation strategies, support transformation and migration, benchmark performance, capture client requirements, build QA plans, and support RFP/RFI responses and client interactions.

Designs, develops, evaluates, and improves instructor-led, virtual, digital, blended, and self-paced learning solutions. Conducts needs analyses, creates instructional materials and assessments, partners with stakeholders and subject-matter experts, manages design projects, ensures compliance and accessibility, and measures training effectiveness against learner and business outcomes.

Handles travel-related customer queries through email using a GDS. Responsibilities include fare and pricing exchanges, routing, travel geography, accurate and productive processing, customer relationship management, and participation in process improvement initiatives. The role requires flexibility, strong communication, and willingness to learn in a dynamic environment.

Develop and maintain secure full-stack applications using .NET, C#, React, JavaScript, and SQL. Build APIs, UI components, database solutions, and cloud deployments on Azure. Support cloud migration, testing, secure coding, data integration, documentation, and Agile delivery while collaborating with developers, architects, business teams, and stakeholders. Participate in proof-of-concept initiatives, knowledge sharing, mentoring, and continuous learning.

Lead and define predictive modelling strategy across multiple projects and teams, drive innovation in model design and architecture, represent the predictive analytics team in executive meetings, and develop long-term predictive analytics plans.

No job responsibilities or qualifications were provided. The posting only identifies a Senior Assistant Vice President role at Bumblebee.

Designs and maintains enterprise data models for banking applications, translating business requirements into scalable conceptual, logical, and physical models. Ensures data quality, governance, performance, and maintainability while supporting data warehousing and integration initiatives. Leads Oracle-to-Netezza data migration activities and collaborates with stakeholders, architects, and development teams. Requires extensive data modeling experience, strong Oracle and SQL expertise, and banking domain knowledge.

Lead the analytics function, set and execute analytics strategy, integrate advanced methodologies across business units, and represent analytics in executive strategic planning and discussions.

Lead global Record-to-Report operations covering GL, fixed assets, lease accounting, intercompany and tax. Own financial close cycles, ensure US GAAP/IFRS compliance, drive automation and ERP optimizations, manage audits and tax filings (US/UK), and develop global teams while implementing control frameworks and governance.

Owns payment integrity quality operations projects from intake through completion, including workflow improvements, system enhancements, testing, validation, reporting, client setup, implementation, documentation, training, and defect resolution. Partners with quality, audit, reporting, technology, configuration, offshore, and end-user teams to improve efficiency, compliance, scalability, data accuracy, and workflow adoption.

Audit and monitor travel consultant interactions (calls, emails, chats) and GDS queues for quality and compliance. Validate ticket exchanges, reissues, refunds per airline fare rules. Review hotel booking platform usage (e.g., Hotel Hub). Ensure adherence to airline policies, visa requirements, and SOPs. Identify service gaps, recommend corrective actions, and analyze workflows for efficiency. Manage travel products and support continuous improvement.

Lead the architecture, modernization, and implementation of enterprise Azure data platforms centered on Databricks Lakehouse and Delta Lake. Design scalable ingestion, transformation, modeling, governance, security, and serving patterns supporting analytics, AI/ML, and business decisioning. Guide engineering teams, establish architecture and delivery standards, optimize Spark performance and costs, and translate business requirements into technical solutions. The role also oversees governance, technical planning, Agile execution, risk mitigation, and stakeholder collaboration.

Design, develop, and deploy NLP and LLM-powered models to extract intent, outcomes, and sentiment from calls, chats, and digital interactions. Translate unstructured interactions into actionable insights, build evaluation frameworks, debug and improve model performance, and hand off production-ready artifacts to data engineering to improve call center efficiency and customer experience.

Analyzes, maps, profiles, consolidates, transforms, and standardizes data for insurance clients. Acts as a liaison between technical and business teams, gathers requirements, creates BRDs and source-to-target mappings, documents data lineage and models, and communicates data quality and transformation details to stakeholders. Requires strong SQL skills and expertise in property and casualty insurance, including policy, claims, and reinsurance lifecycles.

Lead architecture and delivery of a cloud-native, petabyte-scale data platform: define technical roadmap, mentor engineers, build ETL/ELT pipelines, enable real-time streaming, implement Iceberg table format, optimize Snowflake/Redshift/Athena compute, and integrate observability with Splunk.

Designs and supports Power BI and Tableau dashboards, reports, semantic models, and data sources. Develops DAX measures, Power Query transformations, dimensional models, KPI frameworks, and executive visualizations. Troubleshoots performance and data quality issues, supports self-service analytics, collaborates with data engineering teams, participates in BI deployments and migrations, and documents reporting solutions and business definitions.

Processes standard and moderately complex life and annuity transactions independently, supports peers with process clarifications, identifies recurring errors and documentation gaps, and reinforces SOP adherence. The role contributes to training refreshers, knowledge sharing, new-hire ramp-up, quality improvement, and escalation of unresolved operational or customer-impacting issues. Success is measured by productivity, quality, turnaround time, attendance, peer support, and complex-case accuracy.