Director of AI & Data Enablement – Enterprise Impact

KPRS Construction; Pittsburgh (Allegheny County); On-site; USD 180,000 - 230,000; Full time

Job summary

Koppers Inc. in Pittsburgh, PA, seeks a Director of AI and Data Enablement to build and scale enterprise AI programs and a data governance model that delivers measurable business impact.

The role focuses on strategy, governance, and cross-functional execution across manufacturing, supply chain, and corporate functions. The candidate will lead adoption of AI across enterprise platforms, establish an AI Center of Enablement, and partner with leaders to realize productivity, cost savings, and

Qualifications

• Bachelor’s degree in information systems, Computer Science, Data Science, Engineering, Business Analytics, Mathematics, Statistics, or a related field; Master’s degree preferred.
• Experience in manufacturing, chemicals, or other asset-intensive industries preferred.
• Proficiency in technology, data, analytics, digital transformation, AI, enterprise applications, or related disciplines.
• Experience driving adoption of AI capabilities across Microsoft, ERP, CRM, EHS, supply chain, analytics, collaboration, and productivity solutions preferred.
• 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 preferred.
• Strong program management, stakeholder management, and change management skills.
• Familiarity with enterprise data governance, master data management (MDM), and data quality programs preferred.
• 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.
• Familiarity with cloud architecture, APIs, data integration, enterprise architecture, and AI platform ecosystems preferred.
• Certification or training in AI, cloud platforms, project management, data governance, cybersecurity, or enterprise architecture preferred.
• Proven ability to communicate complex technical concepts to non-technical audiences.

Responsibilities

• Build and scale the enterprise AI and data enablement roadmap, governance structure, and operating model, with a focus on business value and platform-based capabilities.
• Identify, prioritize, and evaluate AI and analytics use cases across manufacturing, commercial, supply chain, finance, safety, legal, and corporate functions through a clear intake, governance, and value-assessment process.
• Partner with senior leaders to shape the enterprise AI agenda, prioritize the highest-value opportunities, and align investments with strategic business outcomes.
• Drive adoption of AI capabilities embedded in existing enterprise platforms, including Microsoft, ERP, EHS, CRM, supply chain, analytics, and related systems.
• Establish and lead an AI Center of Enablement that supports business users with education, consultation, governance, and use-case prioritization.
• Partner with business and functional leaders to identify practical AI opportunities to improve productivity, safety, quality, cost, customer experience, and operational performance.
• Develop communication, training, and change management strategies that drive successful adoption of AI technologies and data-driven decision making.
• Measure and communicate outcomes including productivity improvements, cost savings, revenue opportunities, risk reduction, quality improvements, and operational efficiencies.

Job description

Koppers Inc. in Pittsburgh, PA, seeks a Director of AI and Data Enablement to build and scale enterprise AI programs and a data governance model that delivers measurable business impact.

The role focuses on strategy, governance, and cross-functional execution across manufacturing, supply chain, and corporate functions. The candidate will lead adoption of AI across enterprise platforms, establish an AI Center of Enablement, and partner with leaders to realize productivity, cost savings, and