Data Estate Management and Enablement (Master Data, Governance, PMO)

Guidehouse•Chicago, IL

4d•Onsite

About The Position

Guidehouse is seeking an experienced leader to shape and execute the firm’s master data strategy and enterprise data governance model. In this role, you will define how data is owned, governed, and used across the enterprise, while leading the implementation of core governance capabilities—including Master Data Management and enterprise data governance platforms such as Microsoft Purview—to help position data as a strategic asset for the business. Governance & Operating Model: Define and implement the enterprise data governance framework Establish clear data ownership, stewardship, and decision rights Define how data responsibilities are structured across business and IT Ensure governance enables execution and business value—not bureaucracy Master Data Management (MDM): Define and lead the enterprise Master Data Management strategy and scope Establish governance for core business domains (e.g., Client, Employee, Project, Financial structures) You will also ensure: Consistent definitions across systems Data quality and reconciliation Lifecycle management for master data Partner with Data Engineering to implement MDM pipelines and data models Partner with Business Domains to establish data ownership and stewardship Outcome: “One consistent version of core business entities across reporting, applications, and AI.” Data Governance Platform (Unity Catalog, Purview, Tooling): Own implementation and adoption of enterprise data governance tooling (e.g., Microsoft Purview) Ensure capabilities for: Data catalog and discovery Data lineage and traceability Data classification and sensitivity management Business glossary and definitions Drive enterprise adoption of governance tools to enable: Transparency, Trust, Self-service data usage This role will help drive a critical shift: governance tools will not simply exist—they will be embedded in workflows and actively used across the enterprise. Business Data Ownership Enablement: Drive adoption of a business-owned data model Partner with domain leaders to formalize ownership of: Data Data products Master data domain Ensure accountability for: Data quality, Definitions, Lifecycle management Data Product Lifecycle: Define and operationalize the end-to-end data product lifecycle (Ingest → Consumption) Align business and IT on ownership, delivery, and success measures Ensure consistency across: Data Engineering Reporting AI / Orchestration PMO – Change (PM + Change Engine): Serve as the project manager across execution of the Next-Gen Data State program Drive change management, communications, and adoption across the organization Act as central coordinator across: Business domains CIO AI & Data teams Cloud Engineering, CISO and other IT functions Policy, Compliance & Standards: Ensure adherence to enterprise data policies defined by Legal, Risk, and CISO Partner with security and compliance teams to define controls where needed Ensure governance supports: Regulatory compliance Responsible AI practices Enterprise standards How This Role Creates Impact: This role does not serve as the centralized owner of all data This role does not directly build data pipelines, reports, or platforms This role does not replace business accountability for data ownership and quality Instead, this role creates enterprise impact by establishing accountability, enforcing standards, and driving adoption at scale. What Success Looks Like: Business domains own and manage their data and master data MDM domains are: Clearly defined Consistently used across systems Trusted for reporting and AI Enterprise adoption of: Data catalog Data lineage and definitions Governance workflows

Requirements

Bachelor’s degree and 12+ years of relevant experience, including global enterprise leadership, or 16+ years of relevant experience without a degree.
Experience in Cloud & Platform Transformation (GCP, AWS, SAP)
Strong background in data operating model design, business data ownership, and enterprise change initiatives
Demonstrated executive presence with the ability to align business and IT stakeholders and influence without direct authority

Nice To Haves

Experience working within local government and federal government environments
Experience implementing data platforms and, specifically, data governance platforms (e.g., Purview, Collibra, etc.)
15+ years of experience in global enterprise leadership, data implementation, data governance, Master Data Management, or enterprise data transformation, with a proven track record of enterprise-level, system-oriented thinking
Experience with full stack custom development
Extensive experience with Global PowerBI Administration (and Power BI Row-Level Security)
Experience with Azure Security, Purview and enterprise security
Curiosity about emerging technologies and enthusiasm for AI-driven transformation

Responsibilities

Define and implement the enterprise data governance framework
Establish clear data ownership, stewardship, and decision rights
Define how data responsibilities are structured across business and IT
Ensure governance enables execution and business value—not bureaucracy
Define and lead the enterprise Master Data Management strategy and scope
Establish governance for core business domains (e.g., Client, Employee, Project, Financial structures)
Ensure consistent definitions across systems
Ensure data quality and reconciliation
Ensure lifecycle management for master data
Partner with Data Engineering to implement MDM pipelines and data models
Partner with Business Domains to establish data ownership and stewardship
Own implementation and adoption of enterprise data governance tooling (e.g., Microsoft Purview)
Ensure capabilities for data catalog and discovery
Ensure capabilities for data lineage and traceability
Ensure capabilities for data classification and sensitivity management
Ensure capabilities for business glossary and definitions
Drive enterprise adoption of governance tools to enable transparency, trust, and self-service data usage
Drive adoption of a business-owned data model
Partner with domain leaders to formalize ownership of data, data products, and master data domains
Ensure accountability for data quality, definitions, and lifecycle management
Define and operationalize the end-to-end data product lifecycle (Ingest → Consumption)
Align business and IT on ownership, delivery, and success measures
Ensure consistency across Data Engineering, Reporting, and AI / Orchestration
Serve as the project manager across execution of the Next-Gen Data State program
Drive change management, communications, and adoption across the organization
Act as central coordinator across business domains, CIO, AI & Data teams, Cloud Engineering, CISO and other IT functions
Ensure adherence to enterprise data policies defined by Legal, Risk, and CISO
Partner with security and compliance teams to define controls where needed
Ensure governance supports regulatory compliance
Ensure governance supports responsible AI practices
Ensure governance supports enterprise standards

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend