Jobs · Information Technology · Ohio

Director, AI Solutions & Delivery

Hyperion Materials & Technologies · Dublin, OH · 1 wk ago
HybridInformation TechnologyFull-time

Summary

The Director, AI Solutions & Delivery is responsible for overseeing the strategic direction, design, delivery, and management of AI initiatives within the organization.

Essential Duties and Responsibilities

  • AI Strategy, Portfolio & Demand Management

    • Establish and manage the enterprise AI intake and evaluation framework.
    • Build and maintain a centralized inventory of AI opportunities and use cases.
    • Develop prioritization methodologies based on business value, feasibility, risk, and strategic alignment.
    • Partner with business leaders to identify opportunities for AI-driven transformation.
    • Create and maintain the enterprise AI roadmap.
    • Track value realization and business outcomes across the AI portfolio.
    • Present portfolio recommendations and investment priorities to executive leadership.
  • AI Solution Design & Architecture

    • Lead assessment of business problems and determine the most appropriate AI solution approach.
    • Evaluate and recommend AI technologies, platforms, models, and vendors.
    • Translate business requirements into scalable AI solution architectures.
    • Define enterprise standards for:
      • Generative AI
      • Agentic AI
      • Machine Learning
      • Intelligent Automation
      • Knowledge Management
      • AI-enabled workflows
  • AI Delivery Leadership

    • Own end-to-end delivery of enterprise AI initiatives.
    • Lead AI solution planning, execution, and implementation activities.
    • Ensure AI projects meet business objectives, timelines, budgets, and quality standards.
    • Define delivery methodologies and lifecycle processes for AI projects.
    • Establish repeatable frameworks for scaling AI solutions across business functions.
  • AI Engineering & Platform Leadership

    • Lead and develop AI Engineers, Solution Architects, and AI Platform Administrators.
    • Establish engineering standards and development practices.
    • Oversee enterprise AI platform operations and governance.
    • Ensure secure and scalable deployment of AI technologies.
  • AI Governance, Security, Compliance & Risk Management

    • Partner with Information Security and Legal to ensure AI deployments meet security, privacy, and regulatory requirements.
    • Partner with Information Security & Legal to establish enterprise standards and governance processes for AI solutions.
    • Ensure AI solutions comply with security, privacy, legal, and regulatory requirements.
    • Define responsible AI principles and implementation standards.
    • Lead AI architecture review and governance boards.
    • Assess technical and operational risks associated with AI initiatives.
    • Implement controls for monitoring, auditing, and managing AI solutions.
    • Assess and mitigate AI-related risks, including data leakage, IP exposure, and model misuse.
  • Vendor & Technology Management

    • Evaluate emerging AI technologies and market offerings.
    • Manage relationships with AI vendors and strategic partners.
    • Assess platform capabilities and roadmap alignment.
    • Support licensing, budgeting, and investment decisions.
    • Develop technology recommendations for future AI capabilities.
  • Measurement & Continuous Improvement

    • Define KPIs to measure AI adoption, value realization, productivity impact, and risk.
    • Monitor usage trends and performance, iterating on configuration and strategy.
    • Stay current with emerging generative AI technologies and assess their applicability to the organization.

Qualifications

  • Education and/or Work Experience

    • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s preferred).
    • 10+ years of experience leading technology, analytics, digital transformation, or enterprise application initiatives.
    • 5+ years leading solution architecture, product delivery, or enterprise technology programs.
    • 3+ years of experience designing and implementing AI, machine learning, or generative AI solutions.
    • Experience building and managing technology portfolios and investment roadmaps.
  • Technical Skills/Physical Requirements

    • Proven experience leading cross-functional teams and enterprise initiatives.
    • Demonstrated success managing technical delivery teams.
    • Direct experience deploying ChatGPT, Claude, or similar enterprise generative AI platforms.
    • Travel - 15% required

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