Jobs at Federal Reserve Bank of Boston

Supports payroll technology solutions by translating business needs into technical requirements, coordinating with stakeholders and technology teams, leading user acceptance testing, evaluating Workday releases, improving payroll processes, and analyzing incidents and system performance. The role also performs root cause analysis, monitors payroll outcomes, documents requirements, and recommends solutions to improve efficiency, accuracy, and compliance.

Leads reliability, scalability, performance, and security for large-scale cloud systems. Designs AWS infrastructure with Terraform, automates CI/CD and operational workflows, establishes SLOs, manages incident response and disaster recovery, develops monitoring and observability solutions, and builds internal tools. Partners with engineering teams on architecture and reliability practices, conducts code reviews, mentors SREs, and supports compliance, vulnerability management, and security integration.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Provides executive and employee communications during major IT incidents, translates complex technical topics into clear messaging, develops presentations and communication strategies, supports communications tools, maintains brand standards, monitors media trends, and produces video content. Advises stakeholders and executive leaders while coordinating high-impact, systemwide IT communications across the Federal Reserve.

Own the enterprise network automation product strategy and roadmap, translating operational challenges into measurable automation initiatives. Lead secure network-as-code, intent-based networking, and policy-driven automation delivery while partnering with engineering, security, compliance, architecture, and risk teams. Ensure workflows meet governance, audit, change-control, rollback, and regulatory requirements. Track automation, reliability, compliance, and MTTR metrics while enabling safe experimentation and scalable production implementation in a regulated environment.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Design, develop, configure, integrate, test, deploy, and support Saviynt EIC identity governance solutions. Build lifecycle automation, access workflows, certifications, RBAC, SoD controls, application integrations, APIs, connectors, and provisioning processes. Troubleshoot production identity and integration issues, support releases and incident management, document engineering standards, and mentor engineers. Collaborate with cybersecurity, architecture, application, infrastructure, HR, audit, and engineering teams.

Owns product vision execution by translating customer and business needs into prioritized requirements, user stories, acceptance criteria, and Agile team backlogs. Partners with architecture, engineering, QA, and stakeholders to deliver solutions, manage risks and dependencies, evaluate defects, monitor OKRs, and present product outcomes. Supports governance forums, product proposals, roadmap communication, and continuous Agile and process improvement within a complex financial services organization.

Develop and deploy AI capabilities across enterprise ERP platforms including Workday and SAP Ariba. Build intelligent agents, chatbots, automation, integrations, and custom GenAI/LLM solutions. Establish PaaS environments, cloud services, deployment pipelines, security, governance, and engineering processes. Lead AI projects from concept through production, evaluate vendor versus custom solutions, support technology roadmaps, and promote AI literacy. Provide production support and training while aligning solutions with business needs and measurable ROI.