Data Governance Architect- Retail or Supply Exp

Capgemini•Brisbane, CA

30d•$83,000 - $192,000•Onsite

About The Position

The Data Governance Architect must have experience in defining and implementing enterprise data governance frameworks that ensure data is trusted, secure, compliant, and fit for business use. This role bridges business and technology by establishing data standards, policies, and architectural patterns; embedding governance into data platforms and delivery initiatives; and partnering with data owners, stewards, and engineering teams to improve data quality, interoperability, and regulatory compliance across the organization.

Requirements

Extensive experience in data architecture, data governance, or enterprise data management, with a demonstrated ability to design and operationalize governance frameworks at scale.
Proven background working across business and technology teams.
Demonstrated strong communication skills with executives.
Solid understanding and demonstrable experience in retail apparel business, especially customer journey.
Solid understanding and demonstrable experience in supply chain (retail supply chain is a Required).
Significant experience (10+ years) in the development and operationalization of data governance frameworks, operating models, and workflows.
Proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design.

Nice To Haves

Change Management experience
Atlan
Alation
Google Cloud
Data Modeling
Wireframing
workflow development

Responsibilities

Defining and implementing enterprise data governance frameworks.
Ensuring data is trusted, secure, compliant, and fit for business use.
Establishing data standards, policies, and architectural patterns.
Embedding governance into data platforms and delivery initiatives.
Partnering with data owners, stewards, and engineering teams to improve data quality, interoperability, and regulatory compliance.
Facilitating stakeholders for requirements gathering and validation.
Translating business requirements into enforceable data standards and architectural patterns.
Talking to business stakeholders in business context without technology.
Taking feedback and incorporating it into measurable improvement.
Taking vague or unclear expectations and turning them into concepts and requirements.
Aligning disparate groups of stakeholders towards a common framework by demonstrating value.
Demonstrating strategic thinking and problem solving.