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- Develop and implement data governance strategies, policies, and procedures to ensure compliance with regulatory requirements and industry best practices.
- Establish data governance frameworks, including data standards, metadata management, data lineage, and data stewardship programs.
- Collaborate with cross-functional teams to define data ownership, access controls, and data lifecycle management processes.
- Lead efforts to monitor and enforce data governance policies, addressing issues related to data quality, consistency, and privacy.
- Provide strategic direction and oversight for the design, development, and maintenance of data engineering solutions and infrastructure.
- Manage a team of data engineers, architects, and analysts, fostering a culture of collaboration, innovation, and continuous improvement.
- Architect scalable and efficient data pipelines, data warehouses, and analytics platforms to support the organization's data-driven initiatives.
- Evaluate and implement emerging technologies and tools to enhance data processing, integration, and visualization capabilities.
- Partner with business leaders, IT stakeholders, and data users to understand requirements and prioritize data governance and engineering initiatives.
- Collaborate with legal, compliance, and security teams to ensure data governance practices align with regulatory requirements and cybersecurity protocols.
- Engage with internal and external stakeholders to communicate data governance policies, initiatives, and achievements effectively.
- All other duties as assigned
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Proven experience (10+ years) in data governance, data management, and data engineering roles, with a track record of successful leadership and project delivery and 5+ years leading people
- In-depth knowledge of data governance principles, regulatory requirements (e.g., GDPR, CCPA), and industry standards (e.g., DAMA).
- Strong proficiency in data engineering technologies and tools, including ETL/ELT processes, SQL, data modeling, and cloud-based data platforms (e.g., AWS, Azure, GCP).
- Experience with data governance and engineering frameworks (e.g., Collibra, Informatica, Apache Hadoop, Spark).
- Excellent communication, interpersonal, and leadership skills, with the ability to collaborate effectively across teams and influence stakeholders at all levels.