Senior Business Analyst – Data Management

Job Description

Senior Business Analyst – Data Management Summary

The Senior Business Analyst – Data Management is an individual contributor responsible for ensuring the accuracy, consistency, and integrity of customer master data across enterprise systems. This role operates with a high degree of autonomy — independently managing data governance activities, driving data quality initiatives, and communicating directly with business and technical stakeholders. The Senior Business Analyst partners cross-functionally to define data standards, resolve complex data issues, and support data-driven decision-making aligned with enterprise governance frameworks.

• Independently communicate project status, risks, and data insights to business and technical stakeholders; present sprint release notes and deliver project updates without requiring manager intervention
• Prepare and lead meetings with cross-functional teams; resolve business challenges and escalate only when appropriate with context and recommended solutions
• Manage, prioritize, and execute assigned work within agreed-upon timelines; log action items within 24 hours and proactively communicate blockers
• Lead backlog grooming sessions; negotiate sprint plans based on team capacity; serve as the voice of the customer to the data team
• Own and enforce data governance policies, standards, and procedures across the Customer domain — including data classification, lineage documentation, metadata management, and lifecycle policies
• Lead Data Governance activities at go-live including consultant engagement, data mapping oversight, Key Data Element (KDE) / Data Quality (DQ) documentation, and risk identification
• Develop and maintain governance operating models including Responsible, Accountable, Consulted, Informed (RACI) matrices, escalation paths, and decision rights
• Drive regulatory and compliance adherence (e.g., General Data Protection Regulation (GDPR), Sarbanes-Oxley (SOX), data residency) as it relates to customer master data
• Establish and chair domain-level data governance forums; present governance posture and risk assessments to senior leadership
• Lead data quality root cause analysis; implement preventive controls and systemic fixes
• Design and operationalize stewardship workflows including issue intake, triage, resolution, and closure with full audit trails
• Own the data catalog strategy — ensuring business glossaries, data dictionaries, and lineage maps are current and accessible
• Conduct periodic governance audits and compliance reviews; produce findings reports with actionable remediation plans
• Evaluate and recommend governance tooling (e.g., Collibra, Informatica, Ataccama) to support policy enforcement at scale
• Partner with Information Security and Legal to ensure data handling meets privacy, security, and contractual obligations
• Define and manage data sharing agreements and access controls across business units and third parties
• Develop and maintain reference guides for data mapping, profiling, and DQ rule documentation
• Write testable requirements; provide system requirements for data quality and monitoring; ensure new projects comply with governance frameworks
• Triage and troubleshoot data issues; support automation of data quality checks and lifecycle workflows
• Perform cross-system data reconciliation; test new capabilities against data requirements and business strategies
• Help Data Owner define frameworks for golden records, de-duplication, approval matrices, data certification, and remediation plans
• Monitor and report on data quality metrics and dashboards; define Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) for data quality
• Evaluate data impacts of new systems and projects
• Conduct training for business and IT users on data standards and governance practices

• 7+ years of experience in Master Data Management (MDM) with a focus on customer data (Customer Hub, customer master, customer hierarchy)
• Proven hands-on experience with operational MDM including customer data creation, maintenance, de-duplication, attribution, and enrichment
• Experience leading MDM projects including data migrations, bulk data processing,…