AI Process/Implementation Leader

Carestream Dental

23h

About The Position

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.

Requirements

8–15 years in process improvement, digital transformation, data analytics, or AI deployment.
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.
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

Nice To Haves

Experience in a private equity–backed company preferred but not required
Demonstrated track record of delivering profitability improvement
Bachelor’s Degree in Computer Science, Data Science, or Business, preferred
Master’s in Computer Science, Data Science, or Business, preferred

Responsibilities

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.
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
Lead rapid pilot programs to test AI use cases.
Leverage existing SaaS platforms and AI tools to avoid unnecessary custom builds.
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.
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.
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.