Director, AI and Data Enablement
On-sitePittsburgh, Pennsylvania, United States
Job Summary
Build and scale enterprise artificial intelligence and data operating models that enable measurable business impact across Koppers. Develop the AI and data enablement roadmap, governance structure, and operating model while identifying, prioritizing, and evaluating AI use cases in manufacturing, supply chain, finance, safety, legal, and corporate functions. Drive adoption of AI capabilities embedded in existing enterprise platforms including Microsoft, ERP, EHS, CRM, and supply chain systems. Establish an AI Center of Enablement to support business users with education, consultation, and use-case prioritization. Partner with senior leaders to shape the enterprise AI agenda and align investments with strategic business outcomes. Strengthen enterprise data governance, quality, and master data management practices to improve scalability of AI initiatives. Establish responsible AI standards and controls in partnership with Legal, Cybersecurity, Compliance, HR, and Internal Audit. Monitor evolving AI regulations and incorporate emerging risks into enterprise governance practices.
Required Qualifications
- Bachelor's degree in information systems, Computer Science, Data Science, Engineering, Business Analytics, Mathematics, Statistics, or a related field
- Proficiency in technology, data, analytics, digital transformation, AI, enterprise applications, or related disciplines
- Strong program management, stakeholder management, and change management skills
- Strong understanding of enterprise data management, data governance, AI governance, enterprise applications, security, privacy, and enterprise technology architecture
- Strong knowledge of generative AI, agentic AI, predictive analytics, machine learning concepts, data visualization, and enterprise AI platforms
- Proven ability to communicate complex technical concepts to non-technical audiences
Desired Qualifications
- Master's degree
- Experience in manufacturing, chemicals, or other asset-intensive industries
- Experience driving adoption of AI capabilities across Microsoft, ERP, CRM, EHS, supply chain, analytics, collaboration, and productivity solutions
- Expertise in enterprise AI adoption, data enablement, analytics, governance, digital transformation, or technology initiatives that delivered measurable business outcomes
- Familiarity with Microsoft Azure AI, Microsoft Copilot, Microsoft Fabric, Power BI, Databricks, Snowflake, Oracle, Salesforce, SQL, Python, or similar technologies
- Familiarity with enterprise data governance, master data management (MDM), and data quality programs
- Familiarity with cloud architecture, APIs, data integration, enterprise architecture, and AI platform ecosystems
- Certification or training in AI, cloud platforms, project management, data governance, cybersecurity, or enterprise architecture
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