Data Quality Manager

110 AgencyParsippany-Troy Hills, NJ
301d

About The Position

Under the leadership of the Head of Data Governance, we are seeking a detail-oriented Data Quality Manager to improve the quality, integrity, and consistency of our data. The Data Quality Manager will be responsible for establishing, implementing, and maintaining a framework of data quality processes and procedures to ensure the data is accurate, complete, and reliable. This role requires a deep understanding of data quality management practices including data profiling, data cleansing, and data remediation.

Requirements

  • Bachelors in information technology, Data Science, or a related field or equivalent is strongly preferred, MBA or advanced degree a plus.
  • 8+ years of work experience in data quality, data governance and data management role(s), with experience in supporting data quality management and technology functions preferred.
  • Hands on experience in data quality process implementation, data management, data analysis, or a related role.
  • Strong understanding of data quality management practices, including data profiling and data cleansing.
  • Experience with data quality tools and software.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills.
  • Ability to work collaboratively with cross-functional teams.

Nice To Haves

  • Experience with tools and technologies used for data governance, data quality and data cataloging.
  • Familiarity with business intelligence tools such as Power BI and Tableau preferred.

Responsibilities

  • Develop and implement data quality management strategies and plans.
  • Design, implement, and support data quality standards and procedures.
  • Ensure all systems, applications, and processes comply with data quality standards.
  • Establish and manage data quality metrics and monitoring processes.
  • Develop KPI's and KRI's for the data quality function.
  • Work closely with IT and data teams to design and implement data quality strategies, standards, and procedures.
  • Perform data quality activities (data quality rule creation and deployment, edit checks, identification of issues, root cause analysis, value case analysis and remediation planning).
  • Manage and resolve data quality issues in a timely manner.
  • Create and maintain documentation of data quality standards and procedures.
  • Provide technical and business expertise in selecting data quality and governance tools.
  • Develop data quality score card and dashboard.
  • Conduct data quality audits and report on the results.
  • Train and mentor stakeholders on data quality procedures and best practices.

Benefits

  • Competitive healthcare and retirement savings benefits.
  • An array of benefits, policies and programs to support employee well-being in every sense, from health and financial wellness to family and lifestyle resources.
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