Equifax
Senior Director, Data Operations Center (DOC)
USA-GA-Alpharetta-JVW3 · Director · Full-time
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About the role
- Equifax is where you can power your possible.
- Directing a team of professionals, you will bridge deep operational engineering with real-time operational vigilance.
- This is a high-visibility, transformative leadership role for an operational process innovator.
Responsibilities
- Architect & Scale Data Observability: Lead the expansion of our SOC-inspired control tower, overseeing continuous monitoring of "data in motion" across key dimensions: accuracy, completeness, timeliness, consistency, distribution shifts, volume, schema, and lineage.
- Lead and Develop DOC Team: Empower, mentor, and direct a US-based team of professionals. Coach your team as they deepen their adoption of modern observability tools (e.g., Anomalo), elevate their analytical agility, and build automated, self-healing pipelines.
- Drive Next-Gen Automation & AI Integration: Partner closely with Technology, Data & Analytics, and AI leaders to build on our existing capabilities-deploying validation gatekeepers, ML-driven anomaly detection, and automated remediation scripts (SQL, Python, dbt) to eliminate manual patching and prevent false-positive alert fatigue.
- Drive Furnisher Advocacy & Quality Scorecards: Translate technical pipeline insights into business strategy by establishing programmatic "Data Quality Scorecards" to coach data furnishers on ingestion formats, Metro 2® guidelines, and commercial compliance standards.
- Execute with Urgency and Ownership: Drive cross-functional execution of complex observability projects on time against key SLAs and metrics.
- 5+ years directly managing technical or analytical staff, with a proven track record of guiding, upskilling, and developing senior individual contributors (e.g., Data Observability Analysts, Data Engineers).
- Lead the expansion of our SOC-inspired control tower, overseeing continuous monitoring of "data in motion" across key dimensions: accuracy, completeness, timeliness, consistency, distribution shifts, volume, schema, and lineage.
Requirements
- Bachelor's degree in Data Science, Data Analytics, Computer/Management Information Systems, Mathematics, Statistics, Engineering, or a related quantitative field.
Compensation
- We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Benefits
- We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Company info
- What Could Set You Apart
This listing is sourced directly from Equifax's careers page and normalized into a canonical job model.