About the role:
- Lead the Enterprise Data Stewardship team, providing strategic guidance, mentorship, and leadership.
- Collaborate with business leaders to define requirements and priorities and to proactively understand and update metric logic and definition.
- Serve as the point of escalation for changes to the structure, definition(s), and security of identified data objects and for Data Quality teams when defined processes are insufficient to resolve issues.
- Oversee technical requirements (e.g., aggregation level, granularity) based on metrics established by business teams.
- Own and manage logical data model for the Enterprise Analytics team in tandem with ingestion and curation leads.
- Oversee data catalog entries and enforce data cataloging rules.
- Manage access controls for end data products.
About you:
- Have led small, high-performing teams, preferably in software engineering, data engineering, or data program management
- Bring 8+ years of experience in data engineering or data engineering program management.
- Experience with and understanding of the following: SQL; Python; Databricks (or other cloud data management platform); technical and business data cataloging; logical data modeling, including experience designing logical data models; and ETL/ELT tools such as Apache Airflow.
- Bring proven experience in data management, requirements management, and metadata management.
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement