Selvam

• Maintained schedules to meet key milestones at every project phase.
• Adapted quickly to unexpected challenges or obstacles encountered during project execution, devising creative solutions without compromising objectives.
• Developed comprehensive project plans, identifying risks and mitigation strategies for timely completion.
• Evaluated vendor proposals, selecting those that provided the best value for cost, quality, and timeliness.

Chennai | Jan 2020 – Present
Domain: BFSI & Healthcare | Tech: Cloud (AWS), AI/ML, Data Engineering, SAP

• Led a portfolio of 4 parallel digital transformation projects with a combined budget of $8M+
• Managed end-to-end implementation of AI-based claims processing for a healthcare client, improving cycle time by 40%
• Delivered a cloud migration programme (AWS) for a US-based bank, successfully rehosting 50+ applications
• Led a data engineering project involving real-time streaming (Kafka, Spark) for fraud detection
• Oversaw SAP S/4HANA Greenfield implementation for a global insurance major
• Managed global teams across India, US, and UK with 70+ resources
• Ensured project governance via weekly steering meetings with senior stakeholders

· Managed budget allocation, P&L oversight, and scope management, ensuring optimal resource utilization and cost optimization across various projects.

· Mentor and develop technical teams in software development, data management, and best practices for system optimization.

· Utilize advanced analytics tools to monitor platform performance and claims processing metrics, enabling data-driven decision-making.

· Prepare comprehensive reports for executive leadership, highlighting key insights and actionable recommendations for operational enhancements.

· Ensure compliance with industry regulations, including HIPAA, while maintaining high standards of data security and privacy.

· Conduct regular audits and quality assessments to uphold operational integrity and service excellence.

· Collaborate with internal and external stakeholders to gather requirements and ensure the platform effectively meets the needs of providers, patients, and insurance partners.

· Led the deployment of anti-money laundering products for major banking institutions in the Philippines, including Citi and Metro Bank, ensuring compliance with regulatory standards.

· Directed a global team of over 250 members, aligning their efforts with organizational business objectives and fostering a culture of accountability and performance.

· Provided coaching and mentorship to delivery managers and project leaders, addressing customer pain points and enhancing governance practices.

· Conducted regular governance meetings with stakeholders, providing strategic direction and ensuring alignment with business goals.

· Reviewed technical proposals, ensuring comprehensive risk assessment and accurate cost estimation before client presentation.

· Developed strategic plans to identify and respond to emerging trends and client needs, ensuring the organization remained competitive in the market.

• Led cross-functional teams for successful project delivery within scope, schedule, and budget constraints.· Managed delivery operations, ensuring timely and quality deliverables while overseeing project performance against established metrics.
• Controlled and tracked project performance concerning time, cost, and quality, conducting regular evaluations and status meetings to ensure alignment with project goals.
• Proactively identified risks related to resources and scheduling, implementing appropriate mitigation strategies to minimize disruptions.
• Coordinated resources and stakeholders, planning milestones, assigning responsibilities, and monitoring project progress to ensure successful execution.
• Managed multiple simultaneous Scrum teams across various geographical locations, ensuring effective collaboration and communication.
• Facilitated Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, to drive team engagement and continuous improvement.
• Identified and resolved team dysfunctions, facilitating quick resolutions to enhance team performance and project outcomes

• Lead and execute the strategic vision for software delivery, including AI, Data Engineering, Cloud Computing, and Managed Services projects, ensuring alignment with business goals and customer needs.
• Manage and mentor high-performing delivery teams, ensuring effective resource allocation, talent development, and collaboration across AI, Data Engineering, Cloud, and Managed Services initiatives.
• Oversee the end-to-end delivery of complex AI-driven, Data Engineering, Cloud Computing, and Managed Services projects, ensuring they are completed on time, within budget, and meet quality standards.
• Drive continuous improvement by implementing Agile, DevOps, and best practices tailored for AI, Data Engineering, Cloud, and Managed Services environments.
• Develop and manage project budgets, mitigate risks, and ensure successful delivery within scope, timelines, and cost constraints for AI, Data Engineering, Cloud, and Managed Services projects.
• Collaborate with senior leadership to define and prioritize AI, Data Engineering, Cloud, and Managed Services delivery roadmaps, performance metrics (KPIs), and strategic objectives.
• Cultivate and manage strong relationships with clients, ensuring satisfaction with AI, Data Engineering, Cloud, and Managed Services solutions, while identifying opportunities for upselling and business growth.
• Partner with sales teams to assess client needs in AI, Data Engineering, Cloud, and Managed Services, develop tailored solutions, and drive business growth and customer retention.
• Analyze and refine delivery processes to optimize efficiency, scalability, and cost-effectiveness across AI, Data Engineering, Cloud, and Managed Services projects.
• Stay informed of emerging technologies, industry trends, and competitive landscape in AI, Data Engineering, Cloud, and Managed Services, leveraging insights to enhance software delivery and sales capabilities.
• Manage the full lifecycle of managed services agreements, ensuring service-level agreements (SLAs) are met and clients receive continuous value and support.
• Oversee the implementation of automation and optimization strategies in managed services, ensuring streamlined operations and reduced operational costs.
• Lead cross-functional teams to ensure the seamless integration of AI, Data Engineering, Cloud, and Managed Services solutions into clients' existing infrastructures, including disaster recovery and business continuity planning.

• Managed 24x7 production support operations across critical enterprise applications, ensuring high availability and rapid incident resolution (P1/P2 issues).
• Led root cause analysis (RCA) and implemented permanent fixes to minimise recurring issues and improve system stability.
• Oversaw proactive monitoring and alerting using tools like Splunk, AppDynamics, ELK Stack, ensuring real-time issue detection and response.
• Coordinated application releases, configuration changes, and patch deployments with minimal disruption through robust change management (CAB participation).
• Supervised global support teams, defined shift schedules, and ensured smooth handovers across geographies (follow-the-sun model).
• Served as the primary escalation point for business and IT stakeholders, providing timely communication during critical incidents and service outages.
• Drove continuous service improvement (CSI) by automating routine tasks using Python, Shell scripts, Jenkins, reducing manual effort and MTTR.
• Maintained detailed documentation, SOPs, and knowledge base articles to standardise support operations and accelerate onboarding.
• Ensured audit and compliance adherence (HIPAA, SOX, GDPR) by managing logs, access controls, and operational controls.
• Delivered regular performance reports and dashboards, tracking KPIs like SLA adherence, ticket backlog, incident trends, and uptime metrics.

• Led end-to-end design, development, and deployment of enterprise-grade applications using Java, Spring Boot, Hibernate, and REST APIs.
• Translated business requirements into scalable technical solutions, ensuring architecture aligns with performance, security, and maintainability goals.
• Mentored and guided a team of developers in Java best practices, code quality, design patterns, and agile methodologies.
• Reviewed and approved code through Git-based pull requests, ensuring adherence to coding standards and secure programming principles.
• Integrated applications with databases (Oracle, MySQL, MongoDB) and third-party services using APIs and message brokers (Kafka, RabbitMQ).
• Collaborated with DevOps teams to set up CI/CD pipelines using Jenkins, Docker, Kubernetes, and Git for seamless build and deployment cycles.
• Conducted technical assessments, performance tuning, and debugging of critical modules in production and staging environments.
• Defined and enforced coding standards, unit testing frameworks (JUnit, Mockito), and static code analysis tools (SonarQube).
• Worked closely with product owners, business analysts, and QA teams to ensure timely delivery of sprint deliverables and bug fixes.
• Provided architectural inputs for microservices migration, API gateway implementation, and containerisation strategies.

• Improved software efficiency by troubleshooting and resolving coding issues.
• Developed and maintained enterprise Java applications using J2EE, JSP, Servlets, and Struts framework.
• Wrote PL/SQL queries and stored procedures to support backend processing in Oracle 9i database environments.
• Collaborated with cross-functional teams including QA and Business Analysts to deliver functional modules as per SDLC.
• Conducted unit testing and participated in system/integration testing to ensure high application quality.
• Used CVS for version control and worked on ANT scripts for build automation and deployments.

• Developed scalable and maintainable code, ensuring long-term stability of the software.
• Integrated new technologies into existing systems, increasing capabilities and improving overall performance.
• Developed reusable components that significantly reduced development effort on multiple projects.
• Implemented effective debugging strategies, resulting in fewer software defects and increased reliability.