Generative AI Analyst developing prompts and datasets for machine learning models. Collaborates with teams on labeling initiatives and LLM training best practices.
About the role
- Director of Enterprise AI scaling and operationalizing enterprise AI strategy at cybersecurity company. Partnering with teams to implement impactful AI solutions across functions.
Responsibilities
- Define, evolve, and champion the enterprise AI strategy and roadmap
- Collaborate with functional and business unit leaders to develop tailored AI strategies that accelerate priority business objectives
- Communicate and evangelize AI’s potential across the enterprise to foster adoption and responsible enablement
- Serve as a trusted advisor to executives and senior leadership on AI, automation, and emerging technologies
- Lead enterprise‑wide AI adoption, including pilots, training, scaling, and change management
- Build and enhance AI enablement programs, governance frameworks, and responsible AI guardrails
- Oversee ethical, compliant, and secure deployment of AI solutions in partnership with Legal, Security, Compliance, and Data Governance
- Build and lead teams to design, prototype, and deploy AI agents, intelligent workflows, and automation solutions
- Guide integration of AI systems with enterprise tools, SaaS platforms, and internal data systems via APIs and scalable architectures
- Conduct vendor evaluations, help make build‑vs‑buy recommendations and manage strategic AI technology partnerships
- Evaluate emerging AI technologies, automation tools and workflow platforms to identify opportunities for business value and operational improvement
- Lead cross‑functional initiatives to redesign and optimize business processes using AI and automation
- Operationalize AI products from pilot through full production, ensuring scalability and adoption
- Define value-driven metrics, performance tracking frameworks, success criteria, and effectively communicate business impact of AI initiatives
- Deliver transparent reporting to executive leadership on AI adoption, governance, and performance
- Recruit, lead, and develop a multidisciplinary team spanning AI strategy, business engagement, automation engineering, and enablement
- Act as a player‑coach, fostering a culture of technical depth, experimentation, and continuous improvement focused on user experience, business enablement and operational excellence
Requirements
- 5–10+ years in technology, innovation, data, or transformation roles
- 2 – 5+ years directly in AI/ML, automation, or enterprise‑scale AI leadership
- Proven success creating and executing enterprise AI strategies that deliver measurable value
- Experience operationalizing AI/ML products and scaling them across large or complex organizations
- Experience with business process engineering, workflow automation, or intelligent systems
- Demonstrated experience with enterprise integrations (e.g., REST APIs, SaaS platforms, internal data systems)
- Executive presence with the ability to influence, communicate, and collaborate across all levels
- Strong analytical mindset, with experience defining and tracking metrics and ROI
- Familiarity with modern AI technologies (generative AI, agentic AI, MCP’s, etc.)
- Experience building AI agents, prototypes or workflows
- Experience with enterprise LLM platforms like Microsoft Copilot, OpenAI, Anthropic, etc.
- Knowledge of cloud‑native environments, modern data platforms, and enterprise SaaS ecosystems
- Track record leading strategic, multi‑quarter cross‑functional initiatives
- Ability to drive adoption of new technologies and lead organizations through transformation
- Strong communication, facilitation, and stakeholder‑management skills.
- Demonstrated ability to build, develop and grow technical teams
Benefits
- Competitive compensation
- Comprehensive benefits
- Career success on your terms
- Flexible work environment
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
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