Senior Business Analyst – Data Management

Vertiv Group•Westerville, OH

About The Position

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.

Requirements

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

Nice To Haves

Certified Data Management Professional (CDMP), Data Management Association Body of Knowledge (DAMA DMBOK), Six Sigma, or similar certification
Manufacturing industry experience
Multi-domain MDM experience
ServiceNow
Knowledge of data privacy regulations (GDPR, California Consumer Privacy Act (CCPA))

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