Product Management: Product Manager for the creation of a SaaS platform for extracting, analyzing, and visualizing healthcare data, leading to soft savings of ~USD 5M for clients by understanding customer needs identified using customer and expert interviews.Executed a comprehensive project to develop predictive analytics features addressing specific healthcare provider challenges consisting of 100K+ patients; gathered feedback from 20+ stakeholders, ensuring that the final product met the diverse needs of end-users.Collaborated with data scientists, engineers, and domain experts to define clear business requirements and success criteria for ML models ensuring alignment with overall business goals.Integrating Generative AI models like GPT-3, Vertex AI, into the analytics platform for tasks such as automated medical report generation.Program Increment (PI) Planning: Led and facilitated PI planning sessions, ensuring clear alignment of goals and objectives across multiple Agile teams.Cross-functional team leadership: Directed teams in developing and integrating healthcare analytics solutions on cloud platforms (AWS, Azure, GCP). This approach ensured scalability, alignment with long-term client strategies, and operational cost reductions of approximately USD 650K.Agile project management: Implemented Agile methodologies to manage project backlogs and prioritize high-impact features, resulting in a 30% increase in team efficiency and a 25% reduction in project delivery times for healthcare analytics projects.Project documentation and communication: Managed project documentation, including requirements management, technical documentation to keep stakeholders and teams aligned. Proactively identified potential issues and worked with leadership to develop effective solutions.

BI Dashboard Design & Development: Led the design and development of the BI Value Management Dashboard using Power BI, integrating multiple data sources to create a unified view of project metrics. This included creating interactive visualizations, key performance indicators (KPIs), and drill-down capabilities for deeper insights into specific projects and resources.Generated executive-level reports and dashboards to track project performance, resource allocation, cost savings, and overall business value, enabling DTCC leadership to make informed, data-driven decisions.Worked closely with portfolio managers to optimize the PPM, improving functionality for tracking project status, risks, and financial performance.Leveraged Microsoft Power Automate to streamline and automate various processes within financial reporting and project management.Automated Report Generation: Designed automated workflows to extract data from PPM and financial systems, generating and distributing periodic financial reports and project performance updates to stakeholders, reducing manual effort and errors.Approval Workflows: Developed approval workflows to automate the review and approval of project budgets, resource allocations, and financial forecasts.Risk Monitoring and Reporting:Key Risk Indicators (KRIs): Track KRIs, such as system uptime, financial exposure limits, and transaction volumes, to detect early warning signs.Continuous Risk Assessment: Maintain an ongoing review process to evaluate new and emerging risks, updating mitigation plans as necessary.Incident Reporting: Establish clear reporting protocols for immediate escalation and mitigation of high-impact incidents.

Incident Triaging: Performed comprehensive incident triaging by assessing, categorizing, and prioritizing incoming incidents based on urgency and business impact, assigning them to the appropriate teams, and monitoring the incident queue to ensure timely resolution.Business Process Analysis: Analyzed and mapped current business processes, identifying inefficiencies and areas for improvement, and provided recommendations for optimized workflows.Incident and Problem Analysis: Analyzed existing incident triaging workflows and mapped the current ITSM processes, identifying inefficiencies, bottlenecks, and areas for improvement. Recommended optimized workflows to reduce response times and improve resolution efficiency.Stakeholder Engagement: Facilitated ongoing communication with IT service teams, incident managers, business users, and technical staff to ensure accurate requirements capture, incident triaging expectations, and alignment of service-level agreements (SLAs).Documentation: Developed detailed documentation, including Incident Management Procedures (IMPs), service catalog entries, functional specifications, and use cases for incident resolution tasks, providing a foundation for system improvements and automation initiatives.Data Analytics: Performed data analysis of incident logs, resolution times, and service request patterns to identify key trends and issues. Used this analysis to optimize incident response times, reduce ticket backlogs, and align IT services with business needs.Reporting and Metrics: Created and maintained ITSM dashboards and reports, tracking key metrics such as incident resolution time, ticket volume, and SLA compliance. Delivered insights on operational performance and service efficiency post-implementation.