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Role Description

The Director of AI Operations is a transformational leadership role within the CTO organization, chartered with fundamentally reimagining how product and engineering teams design, build, and deliver software. This leader will drive the enterprise-wide adoption of an AI-native Software Development Lifecycle — embedding AI capabilities directly into every stage of the development process, from requirements and architecture through testing, deployment, and iteration. The role carries clear accountability for measurable outcomes:

• Accelerating development velocity
• Elevating code and product quality
• Establishing the instrumentation needed to quantify productivity gains at both the team and individual level

Success in this role requires equal parts technical depth and organizational influence — the ability to assess where legacy processes are limiting throughput, redesign the way teams operate, and build the cultural and tooling foundations that make AI-native development the new standard across the portfolio.

Qualifications

• 12+ years of progressive experience in technology
• At least 2+ years in transforming AI operations, platform engineering, or related technical leadership roles
• Demonstrated track record of taking AI systems from prototype to production at scale
• Strong working knowledge of generative AI and prompt engineering patterns
• Experience operating AI-based applications in production
• Experience designing and implementing AI governance frameworks, model risk management, or responsible AI programs
• Proven ability to lead cross-functional programs and influence stakeholders without direct authority
• Excellent communication skills; ability to synthesize complex technical topics for executive audiences

Requirements

• Own the AI program roadmap in partnership with the CTO, aligning initiatives to business priorities and technology strategy
• Establish and lead the AI Operations Center of Excellence (CoE), setting standards for model development, deployment, monitoring, and governance
• Drive portfolio-level visibility into all AI workstreams, ensuring executive stakeholders have clear line of sight into progress, risks, and ROI
• Define and track KPIs for AI operational maturity, model performance, and business impact
• Develop and enforce the company's AI governance framework, including responsible AI principles and model risk management standards
• Collaborate with legal, security, and privacy teams to ensure AI deployments comply with applicable regulations (e.g., EU AI Act, CCPA, HIPAA where relevant)
• Champion ethical AI practices across the organization, facilitating training and awareness programs
• Manage relationships with AI platform vendors, cloud providers, and third-party model suppliers (e.g., OpenAI, Anthropic, Google, AWS, Azure AI)
• Lead evaluation, procurement, and contracting for AI tooling and foundation model APIs; negotiate SLAs and data processing agreements
• Monitor the external AI landscape to surface emerging capabilities and competitive risks relevant to the company's strategy
• Conduct a comprehensive assessment of existing SDLC processes across the portfolio and lead the strategic transformation of development teams toward an AI-native engineering model
• Foster a culture of experimentation, accountability, and continuous learning within the team
• Develop talent pipelines and upskilling programs in partnership with HR and Learning & Development

Benefits

• Competitive compensation
• Benefits package designed to support your life inside and outside of work
• Tuition reimbursement
• Parental leave
• Paid volunteer hours
• Unlimited PTO
• Flexible work environment