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

Project Manager

• Lead the TPA Implementation PMO function, including governance model, operating standards, delivery methodology, and best practices.
• Drive portfolio governance, project health reviews, risk management, and executive reporting
• Oversee large-scale Life & Annuity platform, TPA Operations, conversion, and strategic implementation programs.
• Ensure delivery against scope, schedule, quality, financials, and client commitments.
• Guide Program Managers, Project Managers, and Scrum Masters to drive accountability and execution discipline.
• Own portfolio budgeting, forecasting, resource planning, and utilization
• Govern SOWs, scope, change requests, and contractual delivery commitments.
• Serve as the key liaison across clients, executive leadership, Product, Technology, Delivery, Operations, and cross-functional teams.
• Lead steering committees and governance forums with clear communication of status, risks, decisions, and outcomes.
• Establish a PMO Center of Excellence to standardize tools, reporting, metrics, and delivery practices.
• Build a high-performing PMO team and drive continuous improvement through automation, AI-enabled practices, and operational discipline.
• Own a structured issue, risk, and dependency management process across the portfolio, ensuring early identification, clear ownership, and timely resolution before items escalate.
• Establish a single escalation framework and command structure for critical client and production issues, driving root-cause resolution and reducing repeat escalations.

Implementation Project Management, PMO Lead – Third Party Administration, Life & Annuity Platforms

Engineer

• Ingestion & Transformation: Design and optimize high-volume ETL/ELT pipelines using Delta Live Tables (DLT) and PySpark, ensuring data integrity across the Bronze, Silver, and Gold layers.
• Workflow Orchestration: Develop and maintain sophisticated pipelines using Databricks Workflows or Airflow, focusing on modularity, reusability, and automated error handling.
• Streaming & Real-time Integration: Implement real-time data flows utilizing Structured Streaming and Kafka/Event Hubs to enable immediate data availability for downstream consumption.
• Data Security & Privacy: Enforce data anonymization and fine-grained access controls to ensure compliance with global regulations (GDPR/CCPA/HIPAA).
• DataOps & DevOps: Implement CI/CD patterns using Databricks Asset Bundles (DABs), Terraform, and Git to automate environment parity and deployments.
• Open Table Formats: Manage and optimize Delta Lake storage, utilizing advanced features like Liquid Clustering, Z-Ordering, and Change Data Feed (CDF).
• Compute Engine Optimization: Drive cost efficiency and performance by optimizing Spark configurations, Photon engine utilization, and Serverless SQL Warehouses.
• Observability & Monitoring: Integrate comprehensive monitoring and alerting (e.g., Databricks System Tables, Grafana, or Splunk) to rapidly identify bottlenecks and troubleshoot production issues.

Senior Databricks Engineer

Business Analyst

• Apply business analysis leadership across the full project lifecycle, including requirements gathering, analysis, solution design support, testing, implementation, and handoff.
• Partner closely with business users, senior stakeholders, development teams, QA teams, support teams, and project teams to drive solution clarity.
• Manage requirement changes and mitigate delivery risks.
• Mentor team members and deliver high-quality solutions in a fast-paced client environment.

Lead Business Analyst

Customer Support

• Supervise, mentor, and motivate a team of Treasury Services customer service representatives, providing guidance and support to enhance their performance and development.
• Monitor inbound call operations, ensuring compliance with departmental policies and procedures, and maintaining high standards of customer service.
• Conduct regular performance evaluations, provide constructive feedback, and implement training programs to improve team capabilities and service delivery.
• Develop and implement quality assurance processes to assess call quality, ensuring that representatives adhere to best practices and provide accurate information to clients.
• Act as an escalation point for complex customer inquiries, resolving issues promptly and ensuring client satisfaction.
• Generate reports on team performance metrics, customer feedback, and operational efficiency, utilizing data to identify areas for improvement.
• Work closely with cross-functional teams, including training, compliance, and product management, to enhance service offerings and address client needs.
• Identify and recommend process improvements to enhance operational efficiency and client satisfaction within the Treasury Services department.

Customer Service Supervisor – Treasury Services

Manager

• Oversee organizational data engineering solutions.
• Lead high-impact initiatives.
• Ensure alignment with organizational goals.
• Provide executive guidance.
• Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc.
• Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, data testing plans, etc.
• Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs. Perform data analysis to validate data models and to confirm ability to meet business needs.
• May serve as project or DI lead, overseeing multiple consultants from various competencies.
• Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Integration.
• Ensures proper execution/creation of methodology, training, templates, resource plans, and engagement review processes.
• Coach team members to ensure understanding on projects and tasks, providing effective feedback (critical and positive) and promoting growth opportunities when appropriate.

Senior Manager

Data Engineer

• Design, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.
• Develop and optimize data ingestion frameworks, data transformations, and end-to-end workflows for batch and streaming use cases.
• Implement Delta Lake-based architectures, including versioning, schema evolution, and ACID-compliant pipelines.
• Work with stakeholders to understand data requirements and translate them into scalable data engineering solutions.
• Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency.
• Integrate Databricks pipelines with cloud services (Azure Data Lake / AWS S3, Event Hub/Kafka, Synapse/Redshift, etc.).
• Ensure data quality, reliability, and observability through validation frameworks and monitoring.
• Contribute to data modeling, metadata management, and best practices within the data platform.
• Collaborate closely with data scientists, analysts, and business teams to support analytics and ML workloads.

Senior Data Engineer

• Design, build, and maintain secure connectors and pipelines between Databricks workspaces (Delta Lake, Unity Catalog) and Model Context Protocol (MCP) servers.
• Implement and configure MCP servers/clients to expose Databricks data, schemas, and analytical tools securely to AI models and LLM applications.
• Optimize data retrieval, caching mechanisms, and query performance between Databricks and LLM orchestration frameworks to minimize latency.
• Ensure all data exposed through the MCP server adheres to strict enterprise data governance, access controls, and Unity Catalog permissions.
• Partner with AI/ML engineers, data scientists, and software architects to define the context, tools, and prompts required for LLM applications to effectively query Databricks.
• Establish robust logging, error-handling, and monitoring for the Databricks-MCP middleware to ensure high availability and reliability.

Data Bricks Infra Engineer

Executive Assistant

• Leading the end-to-end bid process, including opportunity identification through tender portals
• Developing and executing bid strategies that align with the company’s goals and client requirements.
• Develop high quality PowerPoint presentations and client submission documents
• Coordinating with various teams, including sales, operations, technical, legal and finance to ensure all aspects of a bid are addressed.
• Managing bidding budgets, resources and timelines to ensure on-time and high-quality proposal submissions.
• Identifying new business opportunities by monitoring public and private sector tender portals.
• Maintaining comprehensive and accurate bid documentation, including bid files, records of communication and pricing information.
• Ensuring compliance with EXL, client requirements, regulations and industry standards.

Senior Assistant Vice President, GTM and Solution Support

Product Marketing

• Leading the end-to-end bid process, including opportunity identification through tender portals
• Developing and executing bid strategies that align with the company’s goals and client requirements.
• Develop high quality powerpoint presentations and client submission documents
• Coordinating with various teams, including sales, operations, technical, legal and finance to ensure all aspects of a bid are addressed.
• Managing bidding budgets, resources and timelines to ensure on-time and high-quality proposal submissions.
• Identifying new business opportunities by monitoring public and private sector tender portals.
• Maintaining comprehensive and accurate bid documentation, including bid files, records of communication and pricing information.
• Ensuring compliance with EXL, client requirements, regulations and industry standards.
• Monitoring and evaluating bid performance metrics to identify areas for improvement.

GTM and Solution Support Manager

• Provide data engineering support and develop solutions in Azure ecosystem
• Collaborate with cross-functional teams to design and implement data pipelines
• Monitor and maintain existing data systems for performance and reliability
• Ensure data quality and governance standards are met

Senior Azure Data Engineer

Account Manager

• This role will carry explicit revenue targets.
• Serves as a strategic leader responsible for driving revenue growth, deepening senior‑level client relationships, and shaping the vision and execution of complex, data‑driven healthcare solutions.
• Blends high‑impact account management with consultative solutioning—leveraging expertise across analytics, cloud technologies, digital transformation, and emerging innovations to address client pain points and uncover new opportunities.
• Acts with cross-functional teams, aligns business objectives with technical capabilities, ensuring seamless delivery, robust financial oversight, and the development of forward‑looking, value‑centered solutions.
• Success in this position requires a strong healthcare technology background, exceptional stakeholder management, advanced problem‑solving acumen, and the ability to translate analytics and digital capabilities into meaningful, scalable outcomes for strategic clients.