Define and execute the enterprise data management strategy aligned with AI and Innovation initiatives
Design foundational data architecture including cloud data platforms, data warehouses or lakehouses, and integration layers
Build and scale the enterprise data function, including hiring and developing data architects, engineers, analysts, and stewards
Establish and operationalize data governance, data quality, privacy, security, and compliance frameworks
Integrate data from ERP, CRM, MES, WMS, and other systems into a unified, trusted analytics platform
Evaluate and implement modern data platforms and tools including cloud infrastructure, integration tools, and data management systems
Partner with business and technology teams to translate data into actionable insights and operational value
Ensure data is structured and accessible to support AI, machine learning, and advanced analytics use cases
Define KPIs to measure data quality, adoption, and business impact of data initiatives
Promote data literacy and foster a culture of data-driven decision-making across the organization
Develop disaster recovery, business continuity, and data protection strategies
Lead and promote healthy and safe work practices as required by regulatory agencies and Company policy.

10+ years of progressive experience in data management, architecture, or analytics, including leadership experience
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field preferred; advanced degree preferred
Proven experience evolving from hands-on data architecture into enterprise data leadership
Experience building or transforming a data organization, including hiring and establishing operating models
Strong background in manufacturing, industrial, or asset-heavy environments; steel industry experience preferred
Hands-on experience with cloud data platforms (Azure, AWS, or GCP) and modern data technologies such as Databricks, Snowflake, or Microsoft Fabric
Experience integrating enterprise systems such as ERP, CRM, MES, and WMS into analytics platforms
Strong knowledge of data governance, data quality, and master data management practices
Proficiency in SQL, Python, and modern data engineering tools
Strong leadership, communication, and stakeholder management skills
Ability to influence both technical and non-technical audiences at all levels of the organization
Ability to maintain regular, full-time, predictable onsite attendance

Head of Data Enablement

Key skills