$180,000.00 - $247,500.00Austin,TX, Home / Mobile,CA-001, Home / Mobile,CT-001, Home / Mobile,MA-001, Home / Mobile,TX-001
Metadata Strategy and Leadership:
- Define, implement, and continuously enhance the metadata management strategy aligned with data product maturity, AI enablement, and overall enterprise objectives.
- Lead the adoption of metadata standards, best practices, and advanced metadata engineering techniques within big data/cloud ecosystems.
Technical and Operational Excellence:
- Oversee the development and management of metadata platforms and tools, ensuring robust functionality, scalability, and interoperability in cloud-based environments.
- Establish frameworks for metadata capture, lineage, cataloging, and governance to facilitate data discovery, quality, and AI readiness.
Cross-Functional Integration:
- Partner closely with data product management, AI teams, data governance, IT, and analytics units to ensure cohesive metadata strategies that enhance data usage, reliability, and value.
- Drive alignment and consistency in metadata practices across enterprise-wide data products and AI initiatives.
Innovation and Continuous Improvement:
- Evaluate and adopt innovative technologies, methodologies, and industry best practices in metadata engineering, data governance, and AI-driven data management.
- Establish continuous improvement loops, incorporating stakeholder feedback and evolving AI and analytics requirements.
People Management and Development:
- Build, mentor, and lead a high-performing team of metadata engineers and specialists, fostering a culture of innovation, technical excellence, and AI-driven mindset.
- Provide ongoing training and professional development to maintain expertise in advanced metadata management techniques and emerging data and AI technologies.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or related technical fields; advanced degree preferred.
- 10+ years of progressive experience in metadata engineering, data governance, data architecture, and big data/cloud platforms.
- Proven experience leading metadata management initiatives in cloud environments (e.g., AWS, Azure, GCP), big data frameworks, and supporting AI-driven projects.
- Strong knowledge of metadata management tools, data governance practices, and modern data architectures.
- Excellent communication skills, with the ability to effectively present to executive stakeholders.
- Demonstrated ability to lead and develop technical teams in a global, cross-functional setting.
Key Competencies:
- Technical and Strategic Leadership
- Metadata Management Expertise
- Collaboration and Influencing Skills
- Results-Driven
- Effective Communication
- Innovation and Agility
- Cloud and AI Literacy
Full time
Assignee / Regular