The Director of AI Transformation will be part of the leadership team and will be accountable to drive enterprise-wide integration of Artificial Intelligence (AI) into business processes, ensuring alignment with organizational goals and values. This key business role is responsible for designing and implementing frameworks that address process architecture, change management, and continuous improvement while managing strategic partnerships across Finance, Human Resources, and Communications. The Director will also oversee the human factors of AI adoption, including impact assessments, employee engagement, and training programs. Also, through partnerships in the business will ensure the new way of working is documented and incorporated to all the needed systems for sustainment and continuous improvement.
We offer:
- Career Development
- Competitive Compensation and Benefits
- Pay Transparency
- Global Opportunities
Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The base pay range for this role is estimated to be $160,000.00 to $190,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
Tasks and Qualifications:
What You Will do in This Role:
- AI Transformation Leadership
- Develop and execute a comprehensive AI transformation strategy aligned with organizational objectives.
- Establish governance and frameworks for AI integration across business units.
- Process Architecture & Continuous Improvement
- Design and optimize end-to-end processes to incorporate AI capabilities.
- Drive continuous improvement initiatives to maximize efficiency and scalability.
- Embed new processes and tools into appropriate systems for sustainment.
- Change Management
- Create and implement change management strategies to ensure smooth adoption of AI technologies.
- Develop communication plans, awareness campaigns, and listening sessions to foster transparency and trust.
- Human Factors & Impact Assessment
- Build frameworks for assessing the impact of AI on roles, workflows, and organizational culture.
- Lead initiatives for employee engagement, including training, feedback loops, and readiness assessments.
- Cross-Functional Collaboration
- Partner with Finance, HR, and Communications to align AI initiatives with budgeting, workforce planning, and messaging.
- Serve as a liaison between technical teams and business stakeholders to ensure clarity and alignment.
Success Metrics:
- Strategic & Transformation Metrics
- AI Integration Milestones: % of core processes redesigned and enabled with AI within 12 months.
- Adoption Rate: % of employees actively using AI-enabled tools post-launch.
- Time-to-Value: Average time from AI implementation to measurable business impact.
- Change Leadership & Human Factors
- Employee Readiness Score: Improvement in readiness survey results pre- and post-change.
- Training Completion Rate: % of workforce completing AI-related training programs.
- Engagement Metrics: Attendance and participation in listening sessions, awareness campaigns.
- Continuous Improvement
- Process Efficiency Gains: Reduction in cycle time or cost for key processes after AI integration.
- Continuous Improvement Pipeline: Number of improvement initiatives launched and completed per quarter.
- Cross-Functional Collaboration
- Stakeholder Satisfaction: Feedback scores from Finance, HR, Communications, and additional partners.
- Communication Effectiveness: % of employees reporting clarity on AI initiatives in pulse surveys.
What We Are Looking For:
- Education: Bachelor's degree in Business, Technology, or related field; Master's preferred.
- Experience:
- 10+ years in continuous / process improvement, change management, or digital transformation roles.
- Proven experience leading enterprise-level initiatives involving emerging technologies.
- Skills:
- Expertise in process architecture and continuous improvement methodologies (Lean, Six Sigma, kata).
- Strong understanding of AI technologies and their organizational implications.
- Exceptional communication, stakeholder management, and leadership skills.
Key Competencies
- Strategic Thinking
- Change Leadership
- Continuous Improvement
- Collaboration & Influence
- Analytical Problem-Solving
|
Dematic
$160,000.00 to $190,000.00
Dec 01, 2025