Koppers
Director, AI and Data Enablement
Pittsburgh, PA · Director
Sponsorship not specifiedDetected 8 days ago
PythonSQLSnowflakeDatabricksAzureCloud PlatformsMachine LearningData ScienceData VisualizationLLMsAgentic AIStatisticsAccessibilityProject ManagementStakeholder ManagementSalesforceCRMAuditingSupply ChainERPCommunicationCollaborationInternal Audit
About the role
- Koppers Inc. and its subsidiaries are equal opportunity employers.
Requirements
- Proficiency in technology, data, analytics, digital transformation, AI, enterprise applications, or related disciplines.
- Expertise in enterprise AI adoption, data enablement, analytics, governance, digital transformation, or technology initiatives that delivered measurable business outcomes.
- Strong understanding of enterprise data management, data governance, AI governance, enterprise applications, security, privacy, and enterprise technology architecture.
- Proven ability to communicate complex technical concepts to non-technical audiences.
- Experience driving adoption of AI capabilities across Microsoft, ERP, CRM, EHS, supply chain, analytics, collaboration, and productivity solutions preferred.
- 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 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.
Nice to have
- Identify opportunities to leverage existing enterprise technology capabilities and vendor innovations before pursuing custom AI development.
- Measure and communicate outcomes including productivity improvements, cost savings, revenue opportunities, risk reduction, quality improvements, and operational efficiencies.
- Establish standards for data ownership, quality, metadata management, lifecycle management, and governance processes.
- Establish responsible AI standards, controls, and governance in partnership with Legal, Cybersecurity, Compliance, HR, Internal Audit, and business leadership.
- Monitor evolving AI regulations, industry trends, and emerging risks and incorporate them into enterprise governance practices.
- 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.
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This listing is sourced directly from Koppers's careers page and normalized into a canonical job model.