The role centers on leading the bank's data and AI transformation strategy with several core objectives: Strategic Leadership: Driving the bank's overall data and AI strategy to strengthen its competitive market position Team Development: Growing and modernizing the Chief Data Office through new hires, cross-training, and upskilling existing talent Platform Modernization: Upgrading the bank's data infrastructure to contemporary standards Core Function Enhancement: Building out and improving critical data capabilities across Engineering, Analytics, Business Intelligence, Governance, and Product areas AI Policy & Framework: Designing and implementing enterprise-wide AI governance policies and operational frameworks AI Integration: Embedding AI technologies throughout the organization as a strategic differentiator to give the bank competitive advantages

Leadership & Team Building: Built and scaled the data team through strategic hiring, cross-training, and upskilling Established core data functions across Engineering, Analytics, BI, Governance, and Product Advised C-suite on data strategy to drive business outcomes Major Achievements: Customer Data Platform: Implemented an industry-leading platform capturing behavioral data for personalized marketing, resulting in 30 million customer profiles, 2.7 million verified NPIs, and 5% weekly growth Predictive Analytics: Developed models forecasting customer behavior across multiple channels for targeted engagement campaigns Generative AI Applications: Created AI-enhanced customer segmentation tools Built medical and scientific content generation systems Developed personalized newsletters curated by reading history and interests Implemented AI agents to automate data requests, content generation, and sales targeting Data Monetization: Designed data products as new revenue streams, including behavioral data assets, AI/ML customer segmentations, and self-service Gen AI tools Data Governance: Led standardization efforts to eliminate data inconsistencies and improve organizational efficiency Analytics & Visualization: Created compelling dashboards for key performance metrics and implemented best practice standards

Leadership & Operations: Led a high-performing team of 30+ professionals including BI developers, data engineers, data analysts, data scientists, and integration specialists Oversaw entire data integration, architecture, and engineering processes to improve patient care and operational efficiency Managed vendor relationships for technologies like InterSystems, Rhapsody, Microsoft Azure, Snowflake, and Salesforce Major Achievements: Data Integration & Scale: Ingested and consolidated over 20 million patient records Processed an average of 2 million daily API calls, 400 million messages in InterSystems, and 600 million messages in Rhapsody monthly Created a unified "gold EHR data model" providing single-point access to all proprietary data (patient, provider, payer, and claims) Platform Modernization: Designed modern data platform on Azure and Snowflake Eliminated legacy systems and reduced license costs by 25% Consolidated Snowflake and integration engines to support merger and acquisition activities Patient Care Improvements: Achieved 30% cost reduction by streamlining patient treatment processes Enhanced patient engagement through FHIR API and HL7-based applications Delivered comprehensive patient views using EMPI (Enterprise Master Patient Indexing) AI/ML Capabilities: Developed AI/ML-based patient categorization, cohort identification, and risk management using demographic and clinical data Improved diagnosis and provider workflows using NLP on patient social and clinical history Piloted AI systems with Nuance to automate documentation of patient visits in EHR

Leadership & Strategy: Led end-to-end data analytics in cloud environment through strategic planning and execution Supervised team of data analysts, engineers, scientists in agile consultative engagement Served as internal expert on big data and analytic platforms and solution designs Collaborated with enterprise architecture, IS teams, ERP, Middleware, Security, and Infrastructure teams Major Achievements: Platform Development: Consolidated legacy ERP systems into SAP S4 Designed and implemented SAP BW/4 HANA solution in Microsoft Azure for Product Analytics Introduced Stryker Enterprise Data Lake in Cloud with comprehensive security controls Managed business analytics backlog and maintained big data, BI, and analytic pipelines Compliance & Security: Fulfilled HIPAA, GXP, and SOX requirements Implemented centralized data security policy and de-identification of sensitive data Supported annual compliance audit and certification processes Business Impact: Sales & Marketing Analytics: Developed competitive differentiators by analyzing sales performance metrics and providing insights for new market exploration Market Expansion: Identified new opportunities to expand market share through advanced analytics and forecasting at provider and account levels Supply Chain Optimization: Improved supply chain and inventory management using predictive analysis Key Opinion Leaders: Used machine learning to discover KOLs for Stryker products and drive market penetration strategy AI/ML Innovation: Developed imaging processing and ML recommendation models for implants to improve patient care Piloted predictive analytics to reduce maintenance and repair costs for Stryker IoT devices Implemented data proliferation systems to track, analyze, and alert for high-risk patients

Key Responsibilities: Architecture & Big Data Implementation: Implemented and executed Big Data solutions (Spark on Hadoop) in collaboration with vendors Employed various Hadoop ecosystem tools and frameworks including MapReduce, YARN, Pig, Hive, and HBase Served as primary design authority for proposed solutions Guided and mentored junior architects and GTI resources in application re-platforming and architecture design Strategic Leadership: Developed and maintained technology roadmaps and strategies Participated in Firm's Engineering/Architecture Boards, Governance Councils, and Steering Committees Managed lifecycle of new products including research, deployment, and divestiture Ensured compliance with technology Architecture Review (AR) and Systems Assurance (SA) processes Business Collaboration: Engaged with key Line of Business (LOB) and application development teams to understand requirements Partnered with product and service owners, external vendors, and project management teams Provided technical expertise aligned with the Firm's key business areas and strategic goals Developed cost-effective solutions in accordance with Firm standards Major Achievements: Critical Applications: Served as Lead Architect for key LOBs including Risk, Finance, and CIB Re-platforming Projects: Managed critical application upgrades and re-platforming efforts such as Athena and Risk Analytics Process Improvement: Improved business processes and reduced costs by revamping architecture design and deployment processes aligned with industry best practices

Risk Management Application Development SLM (Service Level Management) Database Management Infrastructure Management