Consultant

• Oversee delivery governance frameworks, ensuring adherence to best practices and internal stakeholders commitments
• Supporting the Ent BI Operations and ensuring the SLA’s are met within defined timelines
• Work closely with SI Partners and cross-functional teams to define SLAs, measure success metrics, and deliver business-aligned insights.
• Handling internal team members and SI Partners
• Ensure the enhancements and strategic projects are delivered timely
• Maintain compliance with data security, privacy, and regulatory standards across all analytics solutions
• Manage scalable, secure BI and data platforms leveraging Microsoft technologies - Azure Synapse, ADLS Gen2 and Spark.
• Ensured best practices are followed in ETL/ELT frameworks, semantic models, and performance-optimized data layers for analytical consumption.
• Support the BI Reporting & Analytics function, enabling delivery of interactive, self-service dashboards and KPI scorecards across departments.
• Partner with business and functional leaders to translate analytical needs into data models, visuals, and insights that inform strategic decision-making.
• Promote data literacy and self-service adoption through training, usage analytics, and continuous feedback loops.
• Leverage advanced analytics and AI-powered features (e.g., CoPilot in Power BI, cognitive search, and natural-language querying) to make analytics more intuitive and predictive.
• Build and maintain strong relationships with key stakeholders to align analytics strategy with business priorities and act as a trusted advisor, translating complex data insights into actionable business recommendations.
• Ensure stakeholder buy-in for enterprise data initiatives and foster collaboration across functions
• Stay ahead of emerging trends in data, BI, and GenAI, particularly in Microsoft Synapse, Databricks Lakehouse, CoPilot for BI, and Agentic AI architectures.
• Drive continuous modernization through internal hackathons, accelerator programs, and cross-functional innovation initiatives.

Senior Consultant

Engineer

• drive the design and delivery of scalable data platforms and pipelines
• lead design and implementation of ETL/ELT pipelines
• define best practices and standards for data engineering
• own end-to-end delivery of data pipelines
• build and optimize frameworks for data ingestion and processing of large datasets
• drive implementation of CI/CD and DevOps practices
• oversee automation for data pipeline deployment and monitoring
• collaborate with business and technology stakeholders
• mentor and guide junior engineers; conduct code reviews

Senior Feature Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
• Build and optimize data ingestion and transformation frameworks for large datasets
• Develop robust solutions for data processing, validation, and quality assurance
• Implement CI/CD pipelines and DevOps practices for data engineering workflows
• Automate data pipelines, deployment, and monitoring processes
• Work with cross-functional teams to understand business requirements and deliver data solutions
• Troubleshoot and optimize performance of data pipelines and systems

Junior Feature Engineer

Analyst

• Review coding audits to ensure findings are accurate, consistent, and compliant.
• Provide coaching and support to coders to enhance accuracy and confidence.
• Deliver feedback from audit reviews and identify training needs or process gaps.
• Contribute to improving audit methods, processes, and documentation.
• Collaborate closely with peers and leadership to drive quality improvements.
• Provide insightful root cause analyses for coding discrepancies.
• Support compliance with company and regulatory standards.
• Take on additional tasks and challenges as needed in a dynamic environment.

Quality Analyst – Outpatient, Healthcare

Business Operations

• Collaborate with a diverse group of Payment Integrity Audit Program leaders
• Manage day-to-day operations to ensure timely completion of audit processes
• Ensure systems and processes meet compliance standards
• Identify and resolve areas of potential risk affecting recovery outcomes
• Collaborate across departments for process enhancements
• Document workflows and maintain client communication templates

Assistant Vice President – Business Process Manager

Data Analyst

• Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects.
• Develop source-to-target data mappings (STTM) and documentation based on business requirements.
• Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications.
• Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic.
• Optimize complex SQL queries for performance and accuracy in handling large datasets.
• Participate in data quality assessments and recommend data cleansing or enrichment strategies.
• Leverage domain knowledge of Property & Casualty Insurance—including policy administration and claims lifecycle—to ensure data alignment with business processes.
• Facilitate communication between business SMEs, data modelers, and technical teams for successful data delivery and adoption.

Business Data Analyst

Cloud Engineer

• Lead the design and implementation of complex cloud solutions
• Oversee cloud resource optimization and performance
• Mentor junior cloud engineers
• Ensure cloud solutions meet organizational and technical requirements
• Provide strategic guidance on cloud technologies.

Senior Cloud Engineer

Operations

• Evaluate incoming requests and interpret necessary information
• Complete data structuring for new business and share with underwriters
• Issue policy documents for new policies and renewals
• Review policy terms and support renewal decisions
• Interact with underwriters and update workflow systems

Operations Associate – Back Office

AI Engineer

• 5+ years of experience as a NLP and Python developer.
• Experience with Pandas, NumPy, Scikit, NLP a must have
• Key fundamentals in object-oriented design, data structures and systems.
• Ability to integrate multiple data sources into a single system.
• Familiarity with testing tools.
• Ability to collaborate on projects and work independently when required.
• Working knowledge of GitHub and Jira
• Ability to document requirements and specifications.
• Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.
• Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.
• Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation
• Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.
• Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency.
• Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities.
• Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success.

GenAI Engineer

Manager

• Design, develop, and deploy Generative AI applications using state-of-the-art LLMs.
• Build and optimize RAG pipelines leveraging vector databases and enterprise knowledge sources.
• Develop prompt engineering strategies and evaluate model performance.
• Fine-tune, customize, and optimize foundation models for domain-specific use cases.
• Integrate AI solutions with cloud platforms and enterprise systems through APIs and microservices.
• Implement AI observability, monitoring, and evaluation frameworks.
• Develop scalable and production-ready AI applications following MLOps best practices.
• Conduct experimentation and benchmarking of LLMs, embeddings, and retrieval techniques.
• Collaborate with cross-functional teams to gather requirements and translate business problems into AI solutions.
• Stay updated on advancements in Generative AI, LLMs, agents, and multimodal AI technologies.

Senior Manager – C2

Security Engineer

• Conduct manual and tool-assisted web application penetration testing (OWASP Top 10, business logic flaws, API vulnerabilities).
• Perform mobile application security assessments for Android and iOS (static & dynamic analysis, reverse engineering, OWASP MASVS/MSTG).
• Execute source code security reviews—both SAST-assisted and manual—across languages such as Java, Python, JavaScript/TypeScript, and others.
• Participate in grey-box assessments and targeted red-team exercises against internal and client-facing applications.
• Integrate and operate SAST, DAST, SCA, and container security tools within CI/CD pipelines (Jenkins, GitHub Actions).
• Configure and tune security tooling to reduce false positives and enforce actionable pipeline quality gates.
• Support IaC security reviews (Terraform, CloudFormation) and secrets management practices.
• Collaborate with platform engineering to embed security controls in build and deployment workflows.
• Triage, prioritise, and track vulnerabilities from discovery through verified closure.
• Produce clear, developer-friendly reports with reproducibility steps, severity ratings, and remediation guidance.
• Support development teams in understanding and fixing identified issues; re-test post-remediation.
• Maintain internal vulnerability registers and risk-tracking artefacts.
• Assist in threat modelling and secure design reviews for new features and services.
• Promote secure coding standards and OWASP best practices across development teams.
• Contribute to security champions programmes and developer awareness initiatives.
• Assist in securing AI/GenAI applications and APIs following defined security patterns.

Lead Assistant Manager – Application Security

Software Engineer

• Design, develop, and maintain ETL workflows using Informatica PowerCenter.
• Develop and optimize data integration solutions involving Netezza databases.
• Create mappings, mapplets, workflows, sessions, and reusable ETL components.
• Analyze source-to-target mapping documents and implement ETL solutions.
• Perform data validation, reconciliation, and troubleshooting of ETL processes.
• Optimize ETL jobs and SQL queries for improved performance.
• Collaborate with data architects, business analysts, and application teams.
• Support production deployments and resolve ETL-related issues.
• Ensure adherence to data quality, governance, and security standards.
• Prepare technical documentation and knowledge transfer materials.

Informatica Developer

Frontend Engineer

• Lead the development of the frontend of web applications, ensuring high performance and visual appeal.
• Develop responsive web applications, work with backend teams for integration, ensure cross browser compatibility, conduct code reviews

Senior Frontend Developer

• Manage digital product ownership projects and ensure alignment with business goals.
• Ensure adherence to Agile policies and procedures.
• Provide strategic guidance on digital product ownership practices.
• Lead a team of digital product owners.

Product Developer

• Design and implement transformation solutions
• Optimize solutions for business impact
• Ensure solutions meet requirements
• Provide consulting support
• Collaborate with stakeholders.

EXL