Jobs at Silicon Valley Bank

Lead the design, development, deployment and support of scalable automation solutions for Model Risk Management. Build enterprise-grade bots and integrations (RPA, Power Platform, APIs), mentor junior developers, enforce coding and governance standards, deliver POCs, and collaborate with stakeholders to modernize model lifecycle tooling and automation frameworks.

Lead design, prototyping, and validation of the Nexus data platform. Own PoCs, technology evaluations, Data Vault 2.0 modeling, Snowflake optimization, DBT transformations, Airflow orchestration, real-time/event-driven patterns, governance integration, and reusable platform accelerators while mentoring engineering teams.

Serve as a finance systems analyst administering and optimizing Oracle EDMCS and related financial systems. Govern Chart of Accounts metadata and hierarchies, coordinate testing and interfaces, analyze exceptions, support finance and IT stakeholders, ensure SOX/GAAP controls, and deliver data integrity for financial planning, consolidation, and reporting.

Lead end-to-end delivery of MDM, Customer 360, reference data and data remediation programs. Manage a cross-functional India-based team, drive API/Salesforce integrations, ensure data quality and governance, prioritize remediation backlog, oversee reporting and dashboards, and align stakeholders for finance and regulatory reporting outcomes.

Lead enhancement of enterprise data quality, management, and reporting. Build dashboards, perform advanced SQL analytics, enforce data policies, document source-to-target mappings, and partner cross-functionally to embed data governance and support strategic decision-making. Mentor junior staff and manage special data projects to ensure consistency, accuracy, timeliness, and completeness of enterprise data.

Lead design, build, and maintain large-scale enterprise data platforms and pipelines (EDW, ODS, data marts). Ensure data security, governance, and performance; drive automation, technical solutions, and release management; collaborate with architects, global teams, and stakeholders to deliver data products.

Build, test, and document data science, ML, analytics, and GenAI solution components. Prepare and validate data, develop features, prototypes, prompts, retrieval, and evaluation datasets. Execute evaluation plans, troubleshoot defects, maintain technical artifacts, follow governance and Responsible AI practices, and contribute reusable code and documentation while collaborating with global teams.

Lead enterprise data modeling strategy and architecture, design complex cross-functional models, drive data governance and metadata standards, mentor data teams, and advise senior leadership on data modeling solutions and best practices.

Lead and oversee the ServiceNow platform team, ensuring platform reliability, scalability, and adherence to bank policies. Partner with stakeholders globally to deliver implementations, provide technical guidance, resolve complex production issues, lead projects, design/configure ServiceNow modules (ITSM/ITOM/CSM/HR), manage CMDB and integrations, and mentor team members.

Design, build, and maintain enterprise data platform and ETL/ELT pipelines (file, DB, API) using Snowflake/AWS. Optimize SQL and pipelines, support production incidents, work in Agile with global teams, and ensure data security and governance.

Lead end-to-end AI use cases for a business domain: redesign processes with AI/GenAI, define target-state solutions, prototype proofs-of-concept, drive model development and deployment, embed governance and controls, and provide technical leadership to deliver measurable business outcomes.

Lead configuration and optimization of the RSA Archer GRC platform: design applications, workflows, integrations, reports; partner with ERS and stakeholders; manage releases, UAT, documentation, governance, and continuous improvement.

Lead design and implementation of enterprise GenAI and LLM-based solutions on AWS. Architect repeatable AI patterns (RAG, agent orchestration, multimodal pipelines), build reusable components, drive PoC-to-production, ensure security, scalability, governance, and mentor engineering teams.

Owner of US regulatory report production and controls (Call Report, FR Y-9C, FR Y-14M/Q, etc.). Drive automation, data quality, issue management, and documentation; partner with IT, finance, and business SMEs. Support audits, bank exams, governance, and process improvements to ensure compliance with US GAAP and regulatory requirements.

Lead design, build, and maintain enterprise data platforms, data lakes, and ETL/ELT pipelines (Snowflake/AWS). Drive data modeling, performance tuning, scheduling, CI/CD, production support, architecture impact analysis, automation, and lead a data engineering team to support regulatory, finance, risk, and Customer 360 needs.

Drive enterprise AI adoption by designing and executing adoption strategies, stakeholder engagement, communications, training, and measurement. Partner with business leaders and AI teams to build enablement materials, run campaigns, track adoption metrics, and remove barriers to drive measurable AI business impact.

Lead end-to-end bank reconciliations across cash, deposits, payments, loans and GL accounts. Investigate and resolve exceptions, perform root-cause analysis, ensure SLA and month-end balance certification, drive process improvements and automation, support audits, and mentor junior analysts while liaising with cross-functional stakeholders.

Lead and manage a data engineering team to design, build, and maintain enterprise data platforms (EDW, ODS, data lakes, cloud). Oversee data integrations, ETL/transform pipelines, performance tuning, data quality, governance, stakeholder management, vendor oversight, and drive automation and process improvements.

Provide operational support for the bank's credit risk rating platform, administering SharePoint Online documentation, supporting an in-house case management system, answering user inquiries (including Moody's Credit Lens), tracking/escalating issues, producing reports and trend analysis, and collaborating with technology, modeling, and underwriting teams to improve processes.

Lead design, prototyping, and production of GenAI/LLM/agentic AI solutions on AWS. Build PoCs, reusable accelerators, and transition innovations to scalable, secure production while mentoring teams and aligning with governance.