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Leads enterprise data modeling, lineage, metadata management, and semantic consistency across transactional, analytical, and cloud platforms. Establishes modeling standards, oversees conceptual, logical, and physical models, and advises on data architecture, quality, security, compliance, and scalability. Directs cross-functional initiatives, supervises multiple teams, guides technology strategy, and develops staff. Requires expertise in Snowflake, Oracle, SQL Server, SQL, Python, ERwin, SAP PowerDesigner, dimensional modeling, data lakes, source-to-target mapping, and database engineering.

Designs and develops cloud-based trade flow and order management applications using Java, Spring Boot, AWS, microservices, Kubernetes, Docker, Kafka, and multiple database technologies. Leads architecture, testing, documentation, project planning, risk management, and technical strategy across complex initiatives. Ensures software quality and delivery, advises management, resolves technology issues, and mentors junior engineers.

Leads advanced data analytics and business intelligence capabilities, including semantic modeling, dashboards, data visualization, and predictive analytics. Analyzes customer, transactional, behavioral, industry, and technology data to identify opportunities and improve business outcomes. Oversees AtScale, Tableau, Snowflake, and Alation environments, establishes metric governance, optimizes platform performance, translates finance reporting requirements into governed data models, and ensures scalable, compliant analytics delivery.

Designs, develops, tests, documents, and maintains scalable full-stack applications and middleware for financial services. Builds web interfaces, APIs, distributed systems, cloud-native applications, and CI/CD pipelines using multiple programming languages, databases, and cloud platforms. Collaborates with architecture, data services, product, design, and engineering teams to deliver business solutions, improve application performance, and support investment processes.

Leads IT audit and technology risk programs, including risk assessments, control design, issue remediation, integrated audit planning, data analytics, and audit reporting. Partners with business and technology leaders to manage risk within corporate standards. Performs security assessments across cloud, infrastructure, applications, and software development environments, identifying vulnerabilities and control weaknesses using cybersecurity tools and frameworks.

Leads enterprise full-stack engineering, cloud data platform architecture, and large-scale analytics application delivery. Oversees cross-functional architecture, modernization, DevOps, CI/CD, data modeling, security, and regulatory compliance initiatives. Sets technical strategy, mentors engineering teams, evaluates emerging technologies, resolves delivery risks, and guides organization-wide technology programs across financial services environments.

Leads enterprise cloud engineering strategy, architecture, and delivery across AWS, Azure, Kubernetes, and on-premises environments. Directs multiple engineering teams, establishes technical standards, oversees scalable and secure cloud platforms, and advises senior management. Oversees Kubernetes orchestration, migration, CI/CD pipelines, observability, platform security, testing, incident management, documentation, and application upgrades. Provides technical leadership, coaching, resource planning, and direction for organization-wide technology initiatives.

Designs and implements cybersecurity controls across cloud, edge, and internet-facing application environments. Performs vulnerability assessments, security testing, monitoring, incident analysis, remediation, and security validation using manual and automated tools. Develops scripts and documentation, investigates security events through log and telemetry analysis, supports change management, and integrates security requirements into projects while maintaining compliance with organizational and regulatory standards.

Build and maintain large-scale machine learning infrastructure, data pipelines, analytics platforms, and distributed systems in AWS. Develop and scale model training and deployment frameworks, implement ETL and real-time data processing, and create CI/CD and observability solutions. Research reinforcement learning algorithms, including Monte Carlo Tree Search, and validate multi-agent models using simulation platforms. Partner with engineering and business teams, advise management on technical strategy, coordinate complex projects, and mentor junior engineers.

Builds and maintains Java-based brokerage and regulatory reporting applications for multiple asset classes. Develops microservices, cloud applications, APIs, event-driven systems, and CI/CD pipelines using AWS, Kubernetes, Docker, and related technologies. Performs architecture, design, development, testing, documentation, legacy modernization, deployment, and production support in Agile environments. Collaborates with business and technology teams to deliver scalable, high-performance solutions supporting FINRA compliance.