Senior Process Manager - Enterprise Data and Analytics (Reg Reporting Remediation)

About the role

This role will join an Agile pod to support the data environment that enables Regulatory Reporting teams to file complete and accurate Y-14 regulatory reports. This role focuses on bridging business needs and technical solutions by gathering requirements, analyzing data processes, and ensuring the data environment aligns with data governance and regulatory compliance objectives. Working collaboratively with cross-functional pod members, the Business Analyst will drive efficient workflows, optimize data systems, and support iterative delivery in a fast-paced Agile environment. Impact: This role requires a strong experience in Data Remediation for reg reporting with mix of data expertise, relationship-building, operational rigor, and the ability to partner across global teams. This role will work closely with Finance, Regulatory Reporting, Data Governance, Technology, Architecture, and Operations to identify data challenges, prioritize remediation initiatives, and advance the bank's data maturity Key Deliverables: Requirements Gathering - Collaborate with Regulatory Reporting teams, and stakeholders to elicit, document, and prioritize business requirements for the FR Y-14 Familiarity with regulatory frameworks such as CCAR, FR Y-14, and BCBS 239 along with regulatory and risk-focused mindset Agile Collaboration - Participate in Agile ceremonies (e.g., sprint planning, daily stand-ups, retrospectives) to align on pod goals, refine user stories, and deliver incremental improvements Stakeholder Communication - Act as a liaison between Regulatory Reporting teams, data engineers, and developers to translate business needs into actionable technical requirements. Data Quality & Governance - Support the implementation of data quality rules and controls to ensure compliance with data governance and regulatory requirements Testing & Validation - Assist in defining acceptance criteria for data-related user stories and support testing to ensure the data environment meets regulatory and business needs Documentation - Create and maintain clear documentation, requirements specifications, and user guides, as well as source-to-target mapping and metadata documentation in Collibra, to support regulatory audits and team workflows Understand Regulatory Edit Checks and other data quality controls and work with stakeholders to strengthen the risk and control environment Root Cause Analysis - Conduct thorough root cause analysis of data gaps and data quality issues and formulate the resulting remediation initiatives Regulatory Responses - Formulate responses to Regulatory Edit Checks and other inquiries that result from FR Y-14Q filings Understanding of data environments, including databases (e.g., SQL Server, Oracle, Snowflake, Netezza), both on-prem and in cloud. And familiarity with ETL and data virtualization tools. Good understanding of SQL Skills and Qualification : Functional Skills: Data Quality, Controls & Remediation Data remediation programs focused on improving accuracy, completeness, consistency, and timeliness of data used in Finance and Regulatory Reporting. Strengthen end-to-end data controls, including lineage, reconciliation, validations, monitoring, and issue management. Identify data breakages, root causes, and impactful remediation pathways in partnership with global stakeholders. Drive continuous improvements aligned with enterpri