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
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