Director, AI Enablement
Ladders · United States
- Hybrid
- Full-time
- $170,000 / year
- United States
Job highlights
- Lead AI strategy for customer experience.
- Identify and prioritize AI use cases.
- Partner with technical and business teams.
- Drive measurable CX and operational results.
- Manage and develop direct reports.
About the role
Director, AI Enablement
We are seeking a Director, AI Enablement to join the team of a leader in the Healthcare space. This role will shape high-impact initiatives at the intersection of strategy, innovation, and execution. You will partner across technical and business teams to turn complex ideas into scalable solutions and meaningful outcomes. The position offers the opportunity to influence both roadmap priorities and long-term organizational capability.
Responsibilities
- Own the enterprise strategy for applying AI through the customer experience.
- Identify and prioritize AI use cases based on customer insights and business impact.
- Ensure AI reduces friction and enhances customer confidence.
- Partner with data science, engineering, product, and operations teams for use case development.
- Guide solution design for operational viability in live CX environments.
- Embed AI capabilities into the CX operating model and ensure responsible deployment.
- Manage personnel actions for direct reports, including hiring, training, and performance evaluation.
- Accountable for measurable CX and operational results and continuously validate impact.
Qualifications
- Bachelor’s degree required; technical, analytics, or data-driven background preferred.
- 12+ years of related experience in AI, advanced analytics, CX technology, or digital enablement.
- Direct ownership of AI-driven CX decisioning systems, including model orchestration and performance monitoring.
- Hands-on experience applying AI/ML in CX contexts (e.g., NLP, automation, predictive analytics).
- Experience establishing AI governance for CX use cases, including explainability and compliance.
- Proven ability to translate technical outputs into customer experience and business results.
- Strong cross-functional leadership and influence skills in complex environments.
Benefits
- Medical, dental, and vision.
- HSA contribution and match.
- Dependent care FSA match.
- Uncapped paid time off.
- Paid parental leave.
- 401(k) match.
- Personal and healthcare financial literacy programs.
- Ongoing education and tuition assistance.
- Gym and fitness reimbursement.
- Wellness program incentives.
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Key skills/competency
- Artificial Intelligence (AI)
- Customer Experience (CX)
- Strategy
- Innovation
- Product Management
- Data Science
- Machine Learning (ML)
- Leadership
- Cross-functional Collaboration
- Digital Enablement
Skills & topics
- Director
- AI
- Artificial Intelligence
- Enablement
- Strategy
- Customer Experience
- CX
- Healthcare
- Leadership
- Innovation
- Product Management
- Data Science
- Machine Learning
- ML
- Digital Enablement
- Advanced Analytics
- NLP
- Automation
- Predictive Analytics
- AI Governance
How to get hired
- Tailor your resume: Highlight AI, CX, and leadership experience. Quantify achievements.
- Craft a compelling cover letter: Emphasize strategic thinking and cross-functional influence.
- Prepare for interviews: Discuss AI strategy, CX impact, and leadership scenarios.
- Showcase technical expertise: Detail hands-on AI/ML application and governance experience.
- Research the client: Understand their healthcare focus and innovation initiatives.
Technical preparation
Master AI/ML concepts relevant to CX.,Practice explaining complex AI solutions.,Familiarize with AI governance and compliance.,Review case studies of AI in healthcare.
Behavioral questions
Describe a strategic AI initiative you led.,How do you influence cross-functional teams?,Share an example of translating technical results.,Discuss a time you managed direct reports.
Frequently asked questions
- What are the key responsibilities for the Director, AI Enablement role at Ladders?
- The Director, AI Enablement will own the enterprise strategy for AI application in customer experience, identify and prioritize AI use cases, partner with various teams for development, guide solution design, embed AI capabilities into the CX operating model, manage direct reports, and be accountable for measurable CX and operational results.
- What qualifications are essential for the Director, AI Enablement position?
- A Bachelor's degree (technical, analytics, or data-driven preferred) is required, along with 12+ years of experience in AI, advanced analytics, CX technology, or digital enablement. Direct ownership of AI-driven CX decisioning systems and hands-on AI/ML experience in CX contexts are also crucial.
- Is this a remote position for the Director, AI Enablement?
- Yes, this is a remote position for US-based candidates only. Visa sponsorship is not available.
- What kind of benefits does Ladders offer for this role?
- Ladders offers a comprehensive benefits package including medical, dental, and vision insurance, HSA contribution and match, dependent care FSA match, uncapped PTO, paid parental leave, 401(k) match, financial literacy programs, ongoing education, and wellness incentives.
- How does Ladders encourage diverse applications for the Director, AI Enablement role?
- Ladders is an equal opportunity employer and encourages applications even from candidates who do not meet every qualification, recognizing that diverse backgrounds can bring unique value to the team.
- What is the expected salary range for the Director, AI Enablement role?
- The annual compensation for the Director, AI Enablement role ranges from $144,000 to $191,000.
- What specific AI/ML applications in CX are relevant for this Director, AI Enablement role?
- Hands-on experience with AI/ML in CX contexts such as Natural Language Processing (NLP), automation, and predictive analytics is highly relevant for this role.
- What does 'AI governance for CX use cases' mean for this Director, AI Enablement position?
- Establishing AI governance for CX use cases involves ensuring responsible AI deployment, including aspects like explainability (understanding how AI makes decisions) and compliance with relevant regulations.