Job DescriptionSenior 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.
Responsibilities
- 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
Qualifications
- 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, and platform enhancements
- Proficiency in at least one MDM platform (e.g., Informatica MDM, Reltio, or similar) with hands-on operational experience
- Advanced Structured Query Language (SQL) skills for data analysis, troubleshooting, and bulk data activities
- Working knowledge of Enterprise Resource Planning (ERP) platforms (Oracle and/or SAP) and customer master data flows across enterprise systems
- Experience with data quality profiling, monitoring, and remediation in a customer MDM context
- Familiarity with Extract, Transform, Load (ETL) processes, data mapping, and system integration patterns
- Hands-on experience with customer data de-duplication, match/merge processes, and survivorship rules
- Proven ability to execute large-scale data migrations and bulk update operations
- Experience onboarding new systems, organizations, and datasets to the customer MDM platform
- Strong communication skills (verbal, written, and presentation) with the ability to interact effectively at multiple levels
- Proven track record of self-directed execution - managing priorities, meeting deadlines, and proactively flagging issues without oversight
- Ability to influence cross-functional teams and drive alignment without direct authority
- Bachelor's degree in Business Administration, Information Technology, Data Analytics, or related field; equivalent experience considered
- Preferred: Certified Data Management Professional (CDMP), Data Management Association Body of Knowledge (DAMA DMBOK), Six Sigma, or similar certification
- Preferred: Manufacturing industry experience; multi-domain MDM experience; ServiceNow; knowledge of data privacy regulations (GDPR, California Consumer Privacy Act (CCPA))
