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Carestream Dental

AI Process/Implementation Leader

Carestream Dental · United States

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  • Hybrid
  • Full-time
  • $160,000 / year
  • United States

Job highlights

  • Drive AI adoption for profitability and efficiency.
  • Develop and implement AI roadmap and business cases.
  • Train teams and optimize processes using AI.
  • Ensure AI compliance and manage risks.
  • Focus on execution, ROI, and rapid deployment.

About the role

AI Process and Implementation Leader

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

Key skills/competency

  • AI Implementation
  • Process Improvement
  • Digital Transformation
  • Data Analytics
  • ROI Analysis
  • AI Strategy
  • Change Management
  • Governance and Risk Management
  • SaaS Platforms
  • Business Case Development

Skills & topics

  • AI
  • Artificial Intelligence
  • Process Improvement
  • Implementation Leader
  • Digital Transformation
  • Data Analytics
  • ROI
  • Change Management
  • SaaS
  • Business Case
  • Private Equity
  • Mid-Market
  • Profitability
  • Efficiency
  • Strategy
  • Governance
  • SAP
  • Microsoft
  • ERP
  • CRM

How to get hired

  • Tailor your resume: Highlight AI, process improvement, and ROI experience.
  • Showcase impact: Quantify achievements in digital transformation and data analytics.
  • Demonstrate leadership: Emphasize influencing skills and change management capabilities.
  • Prepare for interviews: Discuss specific AI implementation examples and business cases.
  • Understand the business: Research Carestream Dental's private equity backing and goals.

Technical preparation

Master AI/automation and data analytics tools.,Understand ERP, CRM, and BI systems.,Build AI business cases and ROI models.,Familiarize with cloud platforms and SaaS AI.

Behavioral questions

Describe a time you drove AI adoption.,How do you balance innovation and risk?,Share an example of influencing leaders.,How would you handle resistance to change?

Frequently asked questions

What is the primary goal of the AI Process and Implementation Leader role at Carestream Dental?
The primary goal is to drive enterprise-wide AI adoption to accelerate profitability, improve operational efficiency, enhance working capital performance, and create scalable processes within the company.
What level of experience is typically required for this AI Process and Implementation Leader position?
This role requires 8-15 years of experience in areas such as process improvement, digital transformation, data analytics, or AI deployment. Experience in a private equity-backed company is preferred.
How does Carestream Dental approach AI implementation and roadmap development for this role?
Carestream Dental expects the leader to identify impactful AI opportunities, train personnel, design the company's AI roadmap, and create/monitor business cases with specific ROI targets.
What technical skills are essential for the AI Process and Implementation Leader at Carestream Dental?
Essential technical skills include a strong understanding of AI, automation, and data analytics tools, experience with ERP/CRM/BI systems, and knowledge of cloud platforms and SaaS AI applications.
How important is change management and influencing for this role?
Change management and influencing are critical. The role requires upskilling functional leaders, driving adoption across business units, and acting as a change agent to anticipate and overcome resistance.
What are the key performance indicators for the AI Process and Implementation Leader at Carestream Dental?
Key performance indicators include profitability improvement from AI initiatives, forecast accuracy improvement, working capital improvement, and AI adoption/utilization metrics against business cases.
Does this AI Process and Implementation Leader role involve travel?
Yes, occasional travel is required, estimated at around 20% of the time.
What is the expected salary range for the AI Process and Implementation Leader at Carestream Dental?
The salary range for this position is between $130,000 and $160,000 USD, depending on the candidate's experience.