Senior Manager, Data Quality
Regeneron
full-time
Posted on:
Location Type: Hybrid
Location: Warren • New Jersey • 🇺🇸 United States
Visit company websiteSalary
💰 $134,400 - $219,200 per year
Job Level
Senior
Tech Stack
ETLJavaMicroservicesPostgresPythonSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data quality frameworksdata profilingdata validationdata cleansingdata monitoringdata modelling techniquesPostgreSQLSnowflakeETL processesPython
Soft skills
problem-solvingcritical-thinkingcollaborationcommunication
Certifications
BS/BA DegreeMS Degree