Toronto, Ontario, Canada
With over 20 years of experience as a technology leader in the financial services industry, I currently serve as Chief Architect for Employee Compute Data Platforms and AI at JPMorgan Chase. In this role, I oversee the architecture for the Employee Compute Databricks ecosystem, the Employee Compute telemetry and monitoring infrastructure and AI/ML pipelines that support our over 300,000 employees worldwide. My technical expertise spans across multiple public clouds (AWS, Azure, Google Cloud, and OCI) and complex data ecosystems. I have extensive experience leading migrations to modern data lake architectures—such as shifting from AWS EMR to Databricks—as well as integrating cutting-edge tools like Agentic AI (Moveworks), Generative AI, and ServiceNow. My engineering foundation also includes deep experience with enterprise infrastructure, including Terraform provisioning, complex storage environments (SAN, NAS, Object), and containerization strategies. Before my current role, my career spans leadership architecture and engineering positions at some of the world's most preeminent financial institutions, including Citadel, Goldman Sachs, Morgan Stanley, Credit Suisse, Merrill Lynch, and Marsh & McLennan. Additionally, as a Master Principal Cloud Architect at Oracle, my contributions led to multimillion-dollar enterprise cloud transitions, earning multiple awards for innovation and collaboration. Across every role, I am committed to leveraging disruptive technologies to solve complex business challenges, lower costs, and enable organizational success.
Architectural Oversight: Direct the architecture for the Employee Compute Databricks instance and supporting ecosystem, inclduing scheduling, BI tools, data distribution APIs and the Employee Platforms monitoring and telemetry infrastructure. AI/ML Strategy: Lead the design and implementation of enterprise AI/ML pipelines. Standards & Governance: Own the architecture standards, reference designs, patterns and governance process for data engineering and AI/ML. Operational Excellence: Ensure all data standards align with enterprise requirements for governance, security, cost efficiency, and full lifecycle management. Internal Consultancy: Provide comprehensive data architecture and data modelling services to the broader Employee Compute organization and our business partners to streamline data-driven decision-making.
Directing the technology strategy, architecture, and governance for workforce solutions supporting hundreds of thousands of JPMC employees. I lead the Solutions, Data, and ServiceNow Architecture teams, bridging the gap between business goals and engineering execution to drive digital transformation. Leading the re-platforming of the firm’s HR data warehouse from AWS EMR to a Databricks Data Lake architecture. This includes shifting from batch to streaming ingestion and redesigning data models to align with business data products. Architected and led the technology implementation for the First Republic Bank acquisition—the firm’s largest and fastest to date—achieving a record low in data quality issues during migration. Lead the technical re-architecture of a single-instance environment into a multi-instance architecture, isolating employee support functions to streamline operations and improve stability. Integrating Agentic AI (Moveworks) with JPMC’s Identity Provider and workforce solutions. Leveraging Generative AI to automate architecture workflows, enhance controls, and generate learning content. Define best practices, patterns and standards for SaaS, AI, Data, and internal applications. I oversee the evaluation and onboarding of new technologies, shepherding initiatives from business case to production. Served as the Lead Architect for Global Mobility, Oracle HCM, Time & Payroll, and the New Joiner Experience, acting as a trusted partner to business stakeholders for their most critical deliverables.
Member of a select team of Cloud Architects focused on multi million dollar opportunities at the largest financial services accounts. Winner of North American Cloud Engineering "Solutions Engineer of the year 2022" at Oracle Club, and the North American Cloud Engineering “Trust Comes First” Award for forging strong partnerships with customers, coworkers, and stakeholders to support shared success. Built an unsolicited proposal for an industry leading and preeminent investment bank, which was not previously an OCI customer. Key member of the team that turned this proposal into a deal that resulted in tens of millions of dollars of workload moving from their existing cloud service provider to OCI, and a 30% annual savings for the customer. Wrote analysis at deal conclusions identifying new practices pioneered during deal processes to develop repeatable sales plays and procedures for use across all FSI accounts. Developed concrete action plans to fix internal issues that hindered deals Developed the architecture and staffing requirements and built the underlying business cases to support migrating to OCI cloud. Represented customer requirements to drive product management to modify roadmaps, including changing product configurations and availability dates to meet the customer’s requirements. Worked with internal OCI infrastructure teams to forecast capacity needs and ensure they were ready for the customer Worked with the customers and Oracle services to on-board OCI as a supported CSP, including integration into the customers Terraform provisioning system, integration into billing and chargeback, monitoring and alerting systems Ran benchmarking and functional tests of customers representative workloads on OCI, AWS, Azure and GCP to document individual CSP’s differences in behavior, performance, and failure characteristics. Built Financial Services market analysis and playbooks for addressing FSI market.
Brought in to stabilize and scale Morgan Stanley’s internally developed global software distribution infrastructure, by developing software enhancements, increase monitoring, tooling and documentation, and numerous process improvements. This resulted in significant improvements in service stability and uptime, end user experience, and faster time to market.