Head of Data Enablement

Zekelman Industries

2d•Onsite

About The Position

As the Head of Data Enablement at Zekelman Industries, you will lead the transformation of the organization’s data capabilities, evolving from traditional data management to treating data as a strategic enterprise asset. This role is responsible for designing, building, and scaling a new enterprise data management function that supports AI, advanced analytics, and data-driven decision-making across the business. You will collaborate closely with leadership, technical teams, and business stakeholders to establish data strategy, architecture, governance, and operating models that unlock value from manufacturing, commercial, and supply chain data. This role is ideal for a hands-on data leader who has evolved from technical architecture into enterprise leadership and is passionate about building high-impact data organizations from the ground up.

Requirements

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.

Responsibilities

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.
Perform other duties as assigned.