Director, AI Enablement

Zebra Zebra

. Establish and maintain a repeatable operating model for internal AI adoption across Product & Solutions .

Posted 10/16/2026full-timeUnited StatesLead💰 $177,920 - $266,880 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI adoption, product development, and data analytics, with a strong focus on translating complex technical requirements into actionable business strategies. Proven ability to lead cross-functional teams and drive alignment across diverse stakeholders while ensuring compliance with governance and regulatory standards.

Highest-signal resume keywords

AI Adoption StrategyData Analytics LeadershipProduct Development LifecycleEnterprise Governance ComplianceMachine Learning Techniques

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data SciencePredictive AnalyticsAI GovernanceData Architecture PrinciplesDigital TransformationBusiness IntelligenceCross-Functional Initiative ManagementTransformation Initiative DeliveryLarge Language ModelsAI Measurement Framework

Soft Skills

Influencing OutcomesGuidance and PartnershipSynthesis of Complex TopicsTeam DevelopmentCommunication with Executive Audiences

Certifications & Qualifications

Bachelor’s Degree in EngineeringBachelor’s Degree in Computer ScienceBachelor’s Degree in Data ScienceMaster’s Degree (Preferred)

Industry Keywords

AI InitiativesProduct & SolutionsOperational ModelBusiness OutcomesRegulatory RequirementsScalability ConcernsHoltsville, NY OfficeGlobal GeographiesAutomation InitiativeEnterprise-Scale AI

About the role

Key responsibilities & impact

Establish and maintain a repeatable operating model for internal AI adoption across Product & Solutions
Provide portfolio-level visibility into AI initiatives and identify duplication, conflicting approaches, and scaling opportunities
Maintain a reuse register covering AI patterns, workflows, agents, vendors, and lessons learned
Translate enterprise AI governance, security, legal, and regulatory requirements into actionable expectations
Partner with PMO, Engineering, and Product leaders to evaluate AI approaches, value, and success measures
Establish a common AI adoption measurement framework covering adoption, productivity, and business outcomes
Lead and develop an internal business intelligence team toward predictive analytics and improved data readiness
Capture successful AI practices and enable reuse through guidance, reference examples, and knowledge sharing
Drive alignment and outcomes across Product & Solutions through influence, partnership, and guidance
Advise Product & Solutions leadership by synthesizing AI adoption trends, outcomes, and maturity
Identify and escalate alignment issues creating material risk, cost, or scalability concerns

Requirements

What you’ll need

Bachelor’s degree in Engineering, Computer Science, Data Science, or a highly quantitative related field
Minimum 10+ years of progressive leadership experience in product development, digital transformation, data science/analytics or related domains with significant exposure to AI enabled initiatives
Minimum 5+ years operating as part of a product development team
Experience delivering transformation initiatives spanning multiple business units or global geographies, supported by verifiable metrics
Direct people management experience leading and developing data analytics, business intelligence, engineering, data science, or technical program/product management teams
Preferred: Master’s degree (MBA or equivalent)
Preferred: Direct leadership of at least one significant cross-functional GenAI or automation initiative
Deep understanding of product development and delivery lifecycles
Ability to translate cross-functional initiatives into measurable business impact and productivity improvements
Strong understanding of data architecture principles and enterprise-scale AI data readiness
Strong track record of influencing outcomes and driving alignment without direct authority
Ability to synthesize complex technical and operational topics into clear recommendations for executive audiences
Strong understanding of modern machine learning techniques and large language models
Familiarity with enterprise governance, risk, security, or regulatory environments
Minimum 3 days per week in the Holtsville, NY office and 2 days remote in the US

Benefits

Comp & perks

Performance-based annual cash incentive at a target equal to 25% of base pay
Healthcare
Wellness programs
Inclusion networks
Continued learning and development offerings
Community service days
Traditional insurances
Parental leave
Employee assistance program
Paid time off
Hybrid work
Adaptable hours
Summer Flex Fridays
Focus Fridays
Annual companywide well-being day
Some roles may be eligible for long-term incentive equity awards