Director, Data & AI Risk Management
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Job Description
Data and AI risk director building practical governance for Salas O’Brien, an employee-owned engineering and professional services firm. Leading AI oversight, controls, inventories, audits, and responsible adoption.
Responsibilities:
- Develop, maintain, and improve data and AI policies, standards, procedures, and implementation guidance
- Lead the Data and AI Risk Management Committee by setting agendas, guiding policy and risk decisions, documenting outcomes, and escalating key matters to senior leadership
- Define and apply risk expectations for frontier models, data privacy, and security
- Manage AI use-case intake by assessing requests, approving or conditioning use, declining requests when needed, and explaining decisions
- Maintain a complete inventory of models, agents, and AI-enabled tools, including vendor- and acquisition-sourced tools
- Ensure controls have clear owners, defined evidence, and review cadences, and confirm evidence is available for client, audit, or regulatory review
- Translate regulatory, contractual, and client requirements into practical business controls
- Review third-party AI tools and vendors, maintain the approved tool list, and keep it visible to employees
- Manage exceptions with clear criteria, timelines, documented decisions, and follow-through to resolution
- Partner with communications, training, and other stakeholders to create plain-language guidance, training, and employee resources
- Partner with business and functional leaders to embed governance into day-to-day operations
- Report to the Senior Vice President, Data and AI and lead the cross-functional Data and AI Risk Management Committee
- Support audit readiness, inventory completeness, intake service levels, and adoption of the governance program
- Travel occasionally for leadership meetings, governance sessions, audits, stakeholder engagement, or business planning
Requirements:
- Twelve or more years in risk management, governance, compliance, audit, or a closely related discipline, with substantial focus on data, analytics, or artificial intelligence
- Demonstrated experience developing and implementing policies, standards, and procedures that meet legal, audit, regulatory, or client expectations
- Working command of model risk management practice, including inventory, validation, monitoring, and documentation expectations
- Experience mapping regulatory and contractual obligations to operating controls under frameworks such as NIST, ISO, or an equivalent, and maintaining traceability
- Experience running a governance committee, including agenda control, quorum management, decision records, and escalation
- Experience with evidence and audit readiness, including sampling, control testing, and remediation tracking
- Familiarity with AI-specific risk domains, including data leakage, prompt injection, model drift, intellectual property exposure, and third-party model terms
- Bachelor's degree in relevant discipline, or equivalent experience
- Strong written communication skills, with the ability to write both a standard and its plain-language summary
- Preference may be given to candidates with experience in regulated or controlled-data environments, including federal contracting, Controlled Unclassified Information, Cybersecurity Maturity Model Certification, or defense and critical infrastructure work
- Experience in financial services, healthcare, or another sector with mature model governance practices is a meaningful advantage
- Professional certification such as CIPP, CISA, CRISC, CISM, or an equivalent is a nice to have
- Legal or regulatory training, including experience working directly with outside counsel on AI and data terms
- Experience with data governance tooling and catalog-based policy enforcement, including Unity Catalog or a comparable capability
- Experience supporting governance integration during acquisitions
- Required Education: Bachelors or better in Computer Engineering or related field
Benefits:
- Performance-based bonus
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off and company holidays
- Wellness programs
- Employee assistance resources
- Professional development support
- Employee ownership/shared ownership of success
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