Director, AI

Ametek

$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in business leadership, operations, product management, analytics, or technology-enabled transformation.
  • Ownership of financial outcomes, including revenue growth and margin expansion.
  • Ability to prioritize investments and manage under capital constraints.
  • Experience leading cross-functional initiatives and influencing senior stakeholders.
  • Working knowledge of AI, advanced analytics, and digital platforms.

Responsibilities

  • Deliver annual AI-driven EBITDA improvement targets.
  • Build and manage an aligned AI value portfolio.
  • Allocate AI-related investments based on ROI and risk.
  • Present AI value creation progress in operating reviews.
  • Identify AI-enabled revenue growth opportunities with commercial leaders.
  • Lead deployment of AI-enabled workflow automation across operations.
  • Ensure compliance with AI governance and regulatory standards.

Benefits

  • Comprehensive benefits package including health coverage.
  • Professional development opportunities.
  • Access to innovative AI tools and technologies.
  • Established career trajectory with leadership development.
  • Supportive work environment focusing on collaboration and creativity.
Full Job Description
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.

POSITION RESPONSIBILITIES:

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.


REQUIREMENTS:

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.


Compensation

Employee Type: Salaried

Currency: USD

Salary Minimum: 120,000

Salary Maximum: 160,000

Incentive: Yes

Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location.

For more information on AMETEK's competitive benefits, please click here.

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