Director, Artificial Intelligence (AI) (Virtual, US, 99999)

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%

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