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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI strategyAI/MLautomationbusiness process engineeringworkflow automationenterprise integrationsREST APIsenterprise LLM platformsgenerative AIagentic AI

Soft Skills

executive presenceinfluencecommunicationcollaborationanalytical mindsetstakeholder managementteam buildingfacilitationleadershipcontinuous improvement