About the role
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 OwnershipDeliver 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 EnablementIdentify 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 ExpansionLead 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 & ComplianceEnsure 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 & AdoptionBuild 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 LeverageIdentify 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