AI Process/Implementation Leader

Carestream Dental; United States; On-site; USD 130,000 - 160,000; Full time

Job summary

A mid-market private equity-backed firm is seeking an Artificial Intelligence Process/Implementation Leader to drive AI adoption for profitability and efficiency improvements. The ideal candidate should have 8-15 years of experience in process improvement and possess strong leadership traits. Responsibilities include creating AI roadmaps, training teams, and ensuring compliance with regulatory frameworks. The role offers a competitive salary range of $130,000 - $160,000 USD based on experience.

Qualifications

• 8–15 years in process improvement, digital transformation, data analytics, or AI deployment.
• Experience in a private equity–backed company preferred.
• Strong understanding of AI, automation, and data analytics tools.

Responsibilities

• Drive enterprise-wide AI adoption to enhance profitability and operational efficiency.
• Create and monitor business cases for AI initiatives with specific ROI targets.
• Train teams on AI usage to optimize processes.

Skills

Process improvement

Digital transformation

Data analytics

AI deployment

Leadership

Strong communication

Education

Bachelor's Degree in Computer Science, Data Science, or Business

Master’s in Computer Science, Data Science, or Business

Tools

SAP

Microsoft

Job description

Position Summary

The Artificial Intelligence Process/Implementation Leader will drive enterprise-wide AI adoption to accelerate profitability, improve operational efficiency, enhance working capital performance, and create scalable processes in a private equity–backed mid-market company.

This role is highly execution-focused and ROI-driven. The leader will identify the most impactful AI opportunities, train company personnel to increase AI adoption, design and implement the overall company AI roadmap, and create/monitor business cases with specific ROI targets across functions of the organization.

Key Objectives

• Train operational/sales and back-office teams on how to use AI to improve their processes and increase efficiency
• Partner with business teams and corporate functional leaders to identify most impactful projects to incorporate AI into
• Create overall company AI roadmap and business cases with specific milestones and ROI
• Reduce manual process costs across SG&A functions
• Improve forecasting accuracy and enhance working capital performance (DSO, inventory optimization).
• Lead the responsible development of AI solutions in full compliance with global data protection, cybersecurity, and regulatory frameworks (e.g., GDPR), ensuring consistency across jurisdictions.

Core Responsibilities

• Value Creation & AI Strategy
  • Partner with business teams and functional leaders to align AI initiatives with company’s financial goals
  • Build and maintain a prioritized AI roadmap focused on high-ROI initiatives.
  • Develop financial business cases with clear payback periods
• Rapid Execution & Deployment
  • Lead rapid pilot programs to test AI use cases.
  • Leverage existing SaaS platforms and AI tools to avoid unnecessary custom builds.
• Process Optimization & Automation
  • Target high‑impact functions including finance (automated reconciliations, predictive forecasting, pricing analytics), sales (lead scoring, churn prediction, pricing optimization), operations (demand forecasting, capacity planning, scheduling optimization), customer support (AI chat, case triage, response automation).
• Governance & Risk Management
  • Establish practical AI governance frameworks appropriate for a mid‑market organization.
  • Ensure data security, compliance, and model risk management.
  • Implement performance dashboards and ROI tracking mechanisms.
• Change Management & Capability Building
  • Upskill functional leaders in AI‑enabled decision‑making.
  • Drive adoption across business units with measurable utilization metrics.
  • Create playbooks for scaling AI across future acquisitions.

Qualifications

• Experience
  • 8–15 years in process improvement, digital transformation, data analytics, or AI deployment.
  • Experience in a private equity–backed company preferred but not required.
  • Demonstrated track record of delivering profitability improvement.
• Technical & Business Skills
  • Strong understanding of AI, automation, and data analytics tools.
  • Experience with ERP, CRM, and business intelligence systems (SAP, Microsoft, etc.).
  • Ability to build AI business cases, ROI models and translate AI initiatives into financial impact.
  • Knowledge of cloud platforms and SaaS AI applications.
• Leadership Traits
  • Highly execution‑oriented delivering outcomes while balancing innovation, risk and global regulatory requirements.
  • Bias toward action and rapid experimentation.
  • Strong communicator capable of influencing peers and business/functional leaders across multiple regions.
  • Hands‑on operator willing to roll up sleeves.
  • Change agent able to anticipate resistance while driving adoption across a global organization.

Key Performance Indicators

• Profitability improvement from AI initiatives
• Forecast accuracy improvement
• Working capital improvement (DSO, inventory turns)
• AI adoption and utilization metrics
• ROI vs. business cases

Education

• Bachelor’s Degree in Computer Science, Data Science, or Business, preferred
• Master’s in Computer Science, Data Science, or Business, preferred

Travel

• Occasional Travel Required, 20%

Salary Range: $130,000 - $160,000 USD, based on experience