Companies you'll love to work for

What you'll do:

• Enterprise AI Strategy & Platform Enablement
• 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.
• Governance, Security & Responsible AI
• 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.
• AI Automation & Process Optimization
• 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.
• Value Realization & Business Impact
• 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
• Organizational Leadership
• 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.

Required qualifications:

• 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

Preferred qualifications:

• Experience in regulated or security-sensitive environments requiring strict data governance and compliance controls.
• Experience implementing process mining and enterprise workflow automation platforms.
• Strong background in data classification frameworks and enterprise information security architecture.
• Familiarity with MLOps, model lifecycle management, and AI observability frameworks.
• Experience scaling AI platforms in high-growth or transformation-focused enterprises.
• Advanced degree in Computer Science, Engineering, Data Science, Business, or related field.

311000 - 467000 USD a year