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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Privacy and AI Governance Manager - **Company:** CohnReznick LLP - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Information Systems, Data Governance, Data Processing, Information Technology - **Published:** July 28, 2026 - **Apply:** https://www.disabledperson.com/jobs/73890449-data-privacy-and-ai-governance-manager ## About the Role * Education & Experience: Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Law, Information Systems, or similar). 5+ years of experience in data privacy, compliance, or risk management roles, or equivalent experience implementing technology governance or privacy programs including experience in leading AI governance. * Regulatory Knowledge: Strong knowledge of data protection regulations (such as GDPR, CCPA, etc.) and familiarity with newer AI governance frameworks such as the EU AI Act risk tiers, NIST AI RMF, and ISO/IEC 42001. * AI/ML Familiarity: Understanding of artificial intelligence and machine learning concepts and their risks, including data provenance, explainability limits, model drift, algorithmic bias audits, and guardrails against prompt injection and training data leakage (deep technical expertise is not required, but must be comfortable collaborating with technical teams). * AI Evaluations Familiarity: Familiarity with AI evaluation frameworks and methodologies, and experience designing or conducting AI evaluations. * Policy & Program Management: Proven ability to develop and enforce policies or governance frameworks. Experience conducting risk assessments or audits regarding technology or data initiatives. Strong project management skills to drive governance programs. * Collaboration & Communication: Excellent communication and interpersonal skills. Ability to work cross-functionally and influence stakeholders at all levels. Capable of translating complex technical or regulatory information into clear, actionable guidance for business teams. * Leadership & Ethics: Demonstrated commitment to ethical technology use and protecting privacy. Experience leading or coordinating cross-departmental initiatives or committees. Strong analytical decision-making and problem-solving capabilities. Preferred Qualifications (Nice to Have): * Advanced degree in Law, Business, Data Science, or related field, or certifications in privacy or risk management (e.g., CIPM, CIPT, CIPP, or similar). * Experience implementing AI governance frameworks or privacy compliance programs within a complex organization, especially in regulated industries (finance, healthcare, etc.). * Experience using AI GRC automation tools such as OneTrust or Credo AI. * Experience engaging with regulators, auditors, or industry consortia on compliance or AI governance topics. This Data Privacy and AI Governance Manager role offers the opportunity to shape how our company innovates responsibly. If you are passionate about trustworthy AI and data protection and have the expertise to bridge technology with compliance, we encourage you to apply. ## Description * Develop, implement, and maintain the organization's data privacy program including an AI governance framework including policies, procedures, and controls * Ensure compliance with applicable data privacy and AI laws and regulations. * Partners with business, legal, and technology teams to manage privacy risks, support data governance initiatives, and embed privacy-by-design principles across the organization. * Partner closely with Technology, AI and Governance, Risk and Compliance teams to ensure internal controls are in place and effective for AI usage and personal data processing, align enterprise data standards with regulatory and compliance requirements, and support policy development and guidelines on data handling and responsible AI use. * Establish continuous discovery mechanisms to identify, map, assess, and mitigate "Shadow AI" tools and use cases deployed without authorization. * Integrate AI governance and privacy requirements into product development, procurement, and implementation and ensure data and information governance aligns, enables and supports the adoption of AI tools and technologies. * Oversee governance for agentic AI and autonomous workflows, including human-in-the-loop protocols and manual override requirements. * Lead, facilitate and work with AI Governance Committee to define governance process, risk tiers and approval pathways based on materiality, impact, and regulatory exposure. * Assist in developing and delivering training programs and communications to promote a culture of responsible AI use across the organization. * Report on program status, risk metrics, and compliance issues to senior leadership and relevant stakeholders. * Stay up-to-date on emerging AI regulations (e.g., AI Act) and data privacy laws. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Rethinking Recruiting: What you didn’t know about Responsible AI](https://www.wearedevelopers.com/videos/1090-rethinking-recruiting-what-you-didn-t-know-about-responsible-ai) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Responsible AI @ Microsoft - Governance, Standards, Learnings](https://www.wearedevelopers.com/videos/1544-responsible-ai-microsoft-governance-standards-learnings) - [AI beyond the code: Master your organisational AI implementation.](https://www.wearedevelopers.com/videos/1248-ai-beyond-the-code-master-your-organisational-ai-implementation) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Panel Discussion: Responsible AI in Practice - Real-World Examples and Challenges](https://www.wearedevelopers.com/magazine/488-panel-discussion-responsible-ai-in-practice-real-world-examples-and-challenges) - [Should AI be Regulated? 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