Data Governance Specialist
4 weeks ago
Key Responsibilities:
- Translate business needs into actionable data solutions, collaborating closely with data science teams to ensure seamless data requirements.
- Implement and monitor data governance policies, ensuring data quality, privacy, and compliance with relevant regulations.
- Coordinate data management practices across the data architecture, data engineering processes, MLOps, and data science models, enabling data cataloging, lineage, and exploration.
- Collaborate with Scrum masters to support data-related projects, ensuring alignment with business objectives and delivery.
- Act as a bridge between technical teams and non-technical stakeholders, facilitating clear and effective communication.
- Stay updated with the latest Industry 4.0 trends and understand their potential impact on our business and data strategies.
Authority and Decision-Making:
- Propose approaches for data lineage, mapping, and cataloging.
- Take ownership of maintaining business logic translation to data requirements.
Qualifications and Skills:
Minimum Qualifications:
- Bachelor's degree in Computer Engineering or Computer Science or equivalent.
Minimum Experience:
- 5+ years of experience in a data-relevant role (analysis/engineering) with a strong focus on data challenges.
Skills:
- Hands-on experience with data analytics and engineering across different domains.
- Hands-on experience with Python and SQL.
- Experience in designing and understanding data models.
- Experience in understanding agile software development practices.
- Experience in cross-functional collaboration with product, tech, business, and data science teams.
- Detailed knowledge of gathering and translating business requirements into data requirements.
- Project management skills.
- Effective collaboration, communication, and interpersonal skills.
- Experience in coaching and mentoring.
- Problem-solving skills.
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