Director Artificial Intelligence

The Director, Artificial Intelligence, will own and deliver the division’s AI-driven value creation agenda. This leader is accountable for identifying, prioritizing, deploying, and scaling AI initiatives that drive measurable revenue growth, margin expansion, productivity improvement, and compliance strength. This is a business leadership role that uses AI as a lever - not a technical specialist role. ### HOW YOU WILL MAKE AN IMPACT: * **Financial Impact Ownership** * Deliver defined annual AI-driven EBITDA improvement targets. * Build and manage a prioritized AI value portfolio aligned with division strategy. * Allocate AI-related investment within approved capital envelope based on ROI and risk. * Present AI value creation progress during division operating reviews. * Kill, pivot, or scale initiatives based on measurable performance thresholds. * **Growth & Commercial Enablement** * Identify AI-enabled revenue growth opportunities (pricing optimization, product differentiation, service models, installed base monetization). * Partner with commercial and product leaders to embed AI into customer-facing workflows. * Support development of AI-enabled products and digital service offerings. * **Operational Margin Expansion** * Lead deployment of AI-enabled workflow automation and process redesign across operations and SG&A. * Reduce cycle time, scrap, rework, inventory, and administrative inefficiencies. * Standardize and scale proven AI use cases across business units. * Ensure AI adoption translates into sustained operating discipline. * **Governance, Risk & Compliance** * Ensure all AI initiatives comply with enterprise AI governance, cybersecurity, data privacy, and regulatory standards. * Monitor AI solution reliability, performance, and risk exposure. * Serve as the division escalation point for AI-related risk and compliance matters. * Align divisional initiatives with broader enterprise architecture and platform strategy. * **Organizational Capability & Adoption** * Build AI literacy across division leadership, managers, and high-potential talent. * Translate AI concepts into practical operating behaviors for commercial, operations, and functional teams. * Establish adoption standards and accountability mechanisms tied to measurable outcomes. * Develop a network of functional AI champions within the division. * Embed AI-enabled decision-making into operating rhythms (forecasting, pricing reviews, production planning, customer engagement). * **External Partnerships & Vendor Leverage** * Identify and evaluate external AI technology partners aligned with divisional value priorities. * Structure pilots and commercial agreements to accelerate time-to-value while minimizing risk. * Define performance expectations and scalability requirements tied to business outcomes. * Rationalize vendor landscape to avoid redundant platforms and fragmented solutions. * Ensure third-party tools integrate with enterprise governance and architectural standards. ### SUCCESS METRICS: * Sustained, measurable EBITDA contribution from AI initiatives. * Embedded AI-enabled workflows across commercial and operational functions. * Increased adoption rate across teams. * Replicable use cases scaled across business units. * Reduced operational friction and improved compliance discipline. * Contribution to Enterprise AI roadmap. ### WHAT WE ARE LOOKING FOR: This role requires a business operator with strong digital fluency. ### Required Experience * 7+ years in business leadership, operations, product management, analytics, or technology-enabled transformation * Demonstrated ownership of financial outcomes (revenue growth, cost reduction, margin expansion) * Experience prioritizing investments and managing tradeoffs under capital constraints * Proven ability to lead cross-functional initiatives and influence senior stakeholders * Working knowledge of AI, advanced analytics, and modern digital platforms ### Preferred * Experience deploying AI or advanced analytics solutions in an enterprise setting * Experience working with external technology vendors and negotiating commercial terms * Exposure to industrial, manufacturing, or engineered product environments * Experience operating within enterprise governance frameworks. Deep technical model-building expertise is not required. The leader must understand AI sufficiently to translate capability into business value. ### OTHER SKILLS & COMPETENCIES: * Strong verbal and written communication skills * Self-starter with strong organizational skills, ability to multitask and attention to detail * Ability to communicate with all levels of management including senior executives * Proven ability to work independently as well as in a team environment **TRAVEL:** Up to 50% Originally posted on [Himalayas](https://himalayas.app)