Hybrid Senior Manager, Data Quality

at Regeneron

• Job title: Senior Manager, Data Quality
• Job type: Full Time
• Experience level: Senior
• Salary: $134,400 - $219,200 per year
• Degree requirement: Bachelor's Degree
• Tech skills: ETL, Java, Microservices, Postgres, Python, SQL
• Location requirements: Hybrid, Warren, United States

About the role

• Senior Manager ensuring accuracy, consistency, and reliability of organizational data at Regeneron. Designing frameworks and collaborating with teams to optimize data quality governance.

Responsibilities

• Design and execute Data Quality frameworks to ensure the accuracy, consistency, and reliability of organizational data across systems
• Proactively profile data, identify, track, and resolve data discrepancies or errors, ensuring timely corrective actions
• Establish and enforce policies and standards for data quality, including processes for data validation, cleansing, and monitoring
• Collaborate with specific IT functions, MDM, analysts, and business units to identify data quality needs and align efforts with organizational goals
• Define and establish metrics to assess data quality performance and drive continuous improvement
• Leverage advanced tools and strategic methodologies to deliver actionable insights and high-level recommendations for optimizing and transforming data processes
• Research, select, and deploy Regeneron technologies to enhance data quality and governance capabilities
• Maintain expertise in data quality industry trends and strategically implement advanced methodologies to elevate data quality governance practices

Requirements

• minimum of a BS/BA Degree
• 8+ years relevant experience
• MS degree and 6+ years relevant experience can be considered
• Knowledge of data modelling techniques (e.g., conceptual, logical, physical models)
• Experience with modern database technologies such as PostgreSQL, Snowflake
• Familiarity with ETL/ELT processes and data pipelines
• Understanding of machine learning and AI algorithms that can identify, predict, and resolve data quality issues
• Strong coding skills in languages such as Python, SQL, R, or Java for building custom DQ solutions
• Experience with APIs and microservices architecture for integrating DQ tools with other systems
• Ability to design algorithms and workflows that automate data quality checks and monitoring
• Advanced data analysis, profiling, and validation techniques
• Ability to design and monitor data quality metrics and KPIs
• Problem-solving and critical-thinking skills for complex challenges

Benefits

• health and wellness programs (including medical, dental, vision, life, and disability insurance)
• fitness centers
• 401(k) company match
• family support benefits
• equity awards
• annual bonuses
• paid time off
• paid leaves (e.g., military and parental leave) for eligible employees at all levels