Overview
Skills
Job Details
Job Role: Data Governance Lead Location: Cincinnati, Ohio Duration: Full Time Employment (Permanent)
Responsibilities: Developing and Implementing Frameworks: Designing, implementing, and maintaining an enterprise-wide data governance framework, including policies, standards, and procedures.
Policy Creation and Enforcement: Creating and enforcing data governance policies and procedures that align with business objectives and regulatory requirements.
Data Quality Management: Establishing and overseeing data quality standards, monitoring data quality metrics, and implementing corrective actions to address data quality issues.
Data Security and Privacy: Implementing and enforcing data security and privacy policies, controls, and procedures to protect sensitive data and ensure compliance with regulations.
Metadata Management: Establishing and maintaining metadata management processes, including data lineage, definitions, and dependencies.
Stakeholder Collaboration: Collaborating with business units, IT, and other stakeholders to ensure alignment on data governance practices and promote a data-driven culture.
Monitoring and Reporting: Monitoring data governance performance, tracking key metrics, and reporting on the effectiveness of data governance initiatives.
Risk Management: Identifying and mitigating data-related risks, including those related to data quality, security, and compliance.
Qualifications: Strong Understanding of Data Governance Principles: Deep knowledge of data governance frameworks, policies, and best practices. Strong understanding of data governance principles, practices, and technologies. Knowledge of data security and privacy regulations.
Technical Proficiency: Familiarity with data management tools and technologies, including data quality tools, metadata management tools, and data cataloging tools.
Experience setting up a strategic Data Governance program and help define policies, processes, data classification framework etc.
Experience with data quality assessment, data profiling, and data cleansing techniques.
Domain Knowledge: Exposure to aerospace domain
Regulatory Knowledge: Understanding of relevant data privacy and security regulations.
Project Management Skills: Ability to manage data governance projects, track progress, and ensure timely completion.