Senior Manager, Data Quality

Senior Manager, Data Quality

The Senior Manager, Data Quality is responsible for designing and implementing comprehensive frameworks to ensure the accuracy, consistency, and reliability of organizational data across systems. This role involves proactively identifying and resolving data discrepancies, establishing robust policies and standards for data validation, cleansing, and monitoring, and collaborating with cross-functional teams to align data quality efforts with business objectives. By leveraging advanced tools, machine learning algorithms, and innovative methodologies, the Senior Manager drives continuous improvement in data quality governance, delivering actionable insights and optimizing data processes to support organizational growth and decision‑making.

• 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.

• Knowledge of data modelling techniques (e.g., conceptual, logical, physical models).

• Experience with modern database technologies such as Postgre
  
  SQL, 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.

• Ability to leverage AI for anomaly detection, pattern recognition, and automated data correction.

• 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.

• Support cross‑functional teams and influence stakeholders.

• Identify root causes of data quality issues and implement solutions.

• Adapt to fast‑paced, dynamic environments.

• Learn and integrate new tools and technologies for data quality.

• Familiarity with tools for data quality management (e.g., Informatica)

• Understanding of cloud platforms (e.g., AWS, Snowflake,)

• Knowledge of data visualization tools (e.g., Tableau) that communicate insights on DQ issues effectively

• May require 25% travel..

In order to be considered qualified for this role
, a minimum of a BS/BA Degree and 8+years relevant experience. MS degree and 6+ years relevant experience can be considered.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include 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, and paid leaves (e.g., military and parental leave) for eligible employees at all levels!

For additional information about Regeneron benefits in the US, please visit  For other countries’ specific benefits, please speak to your recruiter.
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