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.
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