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