
Data Governance
3 weeks ago
Introduction
As the Data Governance & Catalog Lead, you will report to the Senior Director of Digital and play a pivotal role in shaping how enterprise data is cataloged, governed, and leveraged across an industrial/manufacturing environment. You will establish stewardship frameworks and governance policies in four critical areas:
- Data catalog and lineage
- Data quality measures and continuous improvement roadmap
- Domain-specific data councils and retention policy
- Business process alignment with IT, business users, data councils, and digital teams
You will also represent the function in the company-wide Global Data Council, ensuring alignment with enterprise data strategy.
Your Responsibilities- Identify functional data champions, form domain-specific data councils, and develop an inventory of Critical Data Elements (CDEs).
- Develop and maintain a data catalog and lineage framework tailored to high-volume industrial/manufacturing data environments.
- Define and monitor data quality KPIs and thresholds, establishing escalation and remediation processes.
- Translate enterprise-wide data retention/custody policies into domain-specific rules, balancing compliance with value capture from AI/ML/Gen-AI use cases.
- Guide data scientists and use case teams in identifying data requirements, sources, and ensuring data quality, integrity, and security.
- Draft initial data architectures and governance solutions to enable scalable use case deployment.
- Partner with IT, engineering, and cross-functional stakeholders to optimize data architecture, infrastructure, and platforms for industrial data management.
- Lead, coach, and mentor the data stewardship and governance team, fostering a culture of ownership, collaboration, and continuous improvement.
- Stay updated on emerging trends in data governance, cataloging, and industrial digitalization, evaluating their business value for future use cases.
- Perform all activities in a safe and responsible manner, supporting Environmental, Health, Safety & Security requirements and programs.
- Champion diversity, equity, inclusion, belonging (DEIB), and the company's ESG vision and goals.
- Bachelor's degree in Computer Engineering, Computer Science, Information Technology, or a related engineering field.
- Minimum of 6 years' experience in data management, governance, or analytics, within manufacturing, industrial, or engineering environments.
- Proven track record of leading teams and driving data management initiatives in operational/engineering contexts.
- Strong understanding of data governance principles, cataloging, lineage, and data quality management.
- Experience with data analytics platforms and tools.
- Knowledge of data security standards and regulatory requirements relevant to industrial/engineering data.
- Excellent leadership, communication, and stakeholder management skills.
- Master's degree in Computer Engineering, Computer Science, Information Technology, or related field.
- Project Management certification or equivalent.
Management Skills
Remediation
Quality Management
Data Management
Data Quality
Data Governance
Environmental Health
Stewardship
Data Architecture
Business Process
Regulatory Requirements
Cataloging
Stakeholder Management
Data Analytics
Manufacturing
Data Strategy
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