AI/Data Governance Analyst

Description

We are looking for an experienced AI/Data Governance Program Lead to help strengthen responsible AI practices within a financial services environment in San Diego, California. This position works closely with technology, security, legal, and risk stakeholders to create practical governance for AI platforms, large language models, and automated decision-support tools. The role is ideal for someone who can translate evolving regulatory expectations into clear controls that support innovation while protecting the business.

Responsibilities:

Design and refine governance frameworks, policy standards, and review processes that guide the responsible use of AI across the organization.

Assess internally developed and externally sourced AI solutions to identify concerns related to security, privacy, compliance, and operational risk.

Oversee a centralized record of AI tools and use cases, ensuring approved implementations remain visible, current, and properly governed.

Define control measures for employee-created AI solutions, including expectations for data access, retention, and acceptable content handling.

Partner with audit, risk, and control teams to address identified weaknesses, strengthen oversight, and communicate program status to leadership.

Provide practical guidance to business teams on responsible AI adoption and adjust governance approaches as technologies and regulations continue to change.

Contribute to risk assessments involving model governance, data governance, and architecture governance for AI-enabled initiatives.

Requirements

7+ years of experience in technology governance, risk management, compliance, cybersecurity, data governance, or AI-related oversight functions.
Working knowledge of responsible AI frameworks, AI governance standards, and emerging control expectations relevant to regulated environments.
Understanding of data protection practices, vendor risk reviews, change management processes, and technology control frameworks.
Ability to evaluate technical risk and communicate findings in a clear, business-focused manner to cross-functional stakeholders.
Experience supporting governance activities involving AI tools, large language models, or automated decision technologies.
Bachelor's degree in a relevant field or an equivalent combination of education and practical experience.
Familiarity with skills such as Microsoft SQL, data analysis, risk assessments, model governance, project governance, or master data governance is valued.
Certifications related to governance, risk, security, audit, or compliance are preferred.

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