Develop and execute the enterprise AI strategy and multi-year roadmap aligned to corporate objectives.
Establish and oversee AI platform architecture, tooling standards, and integration frameworks across the organization.
Define AI governance models including policy, responsible AI standards, risk frameworks, and regulatory alignment.
Partner with Security and Legal to implement controls for data classification, data privacy, intellectual property protection, and AI model risk management.
Evaluate and manage AI vendor ecosystem, including foundation models, copilots, automation platforms, and emerging technologies.
Establish enterprise AI policy frameworks covering acceptable use, data handling, model lifecycle management, and auditability.
Implement guardrails for secure AI usage, including access controls, data loss prevention (DLP), logging, monitoring, and compliance enforcement.
Lead AI risk assessments, bias mitigation strategies, and governance review boards.
Ensure alignment with cybersecurity, privacy, and regulatory requirements across jurisdictions.
Lead enterprise-wide automation strategy, incorporating AI, RPA, workflow orchestration, and process mining.
Identify high-value automation opportunities across Finance, HR, Sales, Engineering, Operations, and Corporate functions.
Oversee deployment frameworks for AI solutions, including pilot validation, scaled rollout, change management, and performance tracking.
Establish reusable automation patterns and best practices to accelerate adoption and reduce duplication.
Build AI-enabled service optimization within IT and enterprise support functions.
Define and track KPIs tied to AI-driven productivity gains, cost reduction, cycle time improvement, and revenue enablement.
Establish value realization models that quantify ROI across AI and automation initiatives.
Partner with business unit leaders to embed AI capabilities into workflows and operating models.
Develop executive-level dashboards and reporting frameworks to demonstrate measurable impact.
Drive adoption strategies including enablement programs, training, and AI literacy initiatives.
Build and scale high-performing teams across AI engineering, automation, governance, and digital workplace transformation.
Establish performance metrics, operational standards, and maturity models for enterprise AI capabilities.
Manage departmental budget, investment prioritization, and vendor cost optimization strategies.
Serve as executive sponsor for digital workplace innovation and AI-driven cultural transformation.

Requirements

Progressive experience in enterprise technology, digital transformation, or AI-driven innovation.
Senior leadership or executive roles with enterprise-wide accountability.
Demonstrated experience leading enterprise AI platform strategy, governance, and secure deployment.
Deep understanding of AI/ML ecosystems, generative AI technologies, automation platforms, and enterprise architecture integration.
Experience implementing governance frameworks including policy development, risk management, compliance, and data protection standards.
Proven track record of delivering measurable efficiency gains and business value through automation and AI adoption.
Strong financial acumen with experience managing large budgets and ROI-based investment strategies.
Exceptional executive communication skills with demonstrated ability to influence C-level and board-level stakeholders.
Experience leading enterprise change management and large-scale adoption programs.
Owns executive stakeholder relationships, anticipating needs, shaping priorities, and ensuring services deliver measurable value aligned to enterprise goals

Benefits

Pay within range listed + Bonus + Benefits + Equity
Temporary benefits package (applicable after 60 days of employment)

Applicant Tracking System Keywords

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

Hard Skills & Tools

AI strategyAI platform architectureAI governance modelsdata classificationdata privacyrisk managementautomation platformsRPAworkflow orchestrationprocess mining

Soft Skills

executive communicationleadershipinfluencechange managementteam buildingstrategic thinkingcollaborationproblem-solvingstakeholder managementtraining