Director, Enterprise Data Governance Office

Amex•Chicago, IL

About The Position

Amex GBT is seeking a director to lead the strategy, execution, and performance of enterprise data governance. The role owns delivery of the governance program and provides senior-practitioner leadership on how governance is designed and scaled across the business as the company advances toward an AI-enabled operating model. The position reports to the Senior Director, Data Governance, Quality & Trust, leads a team of data governance leads, and partners with Data Quality Enablement, AI & Platforms, Privacy, Risk & Compliance, Information Security, Legal, Technology, and domain leaders. The role addresses the complexity of business travel data across booking, ticketing, servicing, exchanges, refunds, invoicing, supplier, and settlement data, spanning multiple platforms and brands. It is based in Chicago, Illinois. The US national base salary range is $130,200 to $241,800, with eligibility for a discretionary annual bonus. Amex GBT describes benefits including health and welfare insurance plans, retirement programs, parental leave, adoption assistance, wellbeing resources, travel deals, and learning and leadership development opportunities.

Requirements

At least 10 years of experience in data governance, data management, or related disciplines.
At least 5 years leading teams or programs at manager or director level.
Bachelor's degree in Business Administration, Information Systems, Data Management, or a related field, or equivalent professional experience.
Demonstrated success establishing and scaling enterprise data governance programs, including operating models, governance bodies, policies, standards, and owner/steward accountability in complex, multi-system environments.
Experience authoring and operationalizing policies and standards that have withstood internal and external audit scrutiny.
Hands-on experience governing ontology-governed content layers for enterprise AI, including business ontologies, knowledge models, or semantic layers that ensure consistent definitions and relationships across AI applications.
Technical proficiency with governance platforms such as Alation or Collibra, and familiarity with data quality and observability tools such as Ataccama, including lineage, glossary, and stewardship workflows.
Ability to align and influence leaders across Technology, Legal, Privacy, Risk & Compliance, Information Security, and business units without direct authority.
Ability to communicate governance strategy, risks, and recommendations to senior leaders and auditors in business-focused language.
Experience governing data across merged, acquired, or multi-brand, multi-platform environments.

Nice To Haves

Professional credentials such as CDMP.
Experience in travel, transportation, or other data-intensive industries.
Familiarity with travel data domains such as booking, ticketing, servicing, invoicing, and supplier management.
Familiarity with cloud platforms such as Snowflake, data contracts, and metrics governance.

Responsibilities

Develop and execute a comprehensive data governance roadmap with operating rhythms, measurable outcomes, and accountability mechanisms aligned with enterprise objectives.
Build the enterprise data domain model and establish governance bodies and forums for consistent enterprise data decisions.
Define and scale data owner and data steward roles, including explicit accountability and decision rights, sequencing expansion across domains.
Explain governance scope, structure, and priorities, and provide leadership with recommendations on strategic tradeoffs and resource allocation.
Create and maintain the Data Governance Management Policy and supporting standards aligned with Privacy, Records Management, Information Security, and AI governance frameworks.
Lead data governance audit preparation, including control design, evidence management, remediation tracking, and collaboration with Internal Audit and external auditors.
Establish definitions, taxonomies, and governance standards for booking, ticketing, servicing, invoicing, and supplier data across systems, brands, and client-specific contexts.
Define data contract standards with producers to protect downstream consumers, analytics, and AI use cases from upstream system changes.
Provide governance leadership across multi-brand and multi-platform ecosystems, including data from acquisitions and integrations.
Lead governance standards for generative and agentic AI data trustworthiness, including ownership, lineage, metadata, and traceability requirements.

Benefits

Discretionary annual bonus based on company and individual performance.
Health and welfare insurance plans.
Retirement programs.
Parental leave.
Adoption assistance.
Wellbeing resources for employees and immediate family.
Travel deals from major travel providers on flights, hotels, cruises, and car rentals.
Access to more than 20,000 courses on the learning platform.
Leadership courses.
Access to new job openings for internal candidates first.
Global Inclusion Groups.