This is a fully remote position, open to applicants in New Jersey, +2 more states.

📋 Description

• Take charge of the implementation and continual management of the enterprise data quality framework, methodology, and measurement strategy across various data domains.

• Offer an unbiased perspective on data quality performance to assist leaders in understanding business risks and the value of improvements.

• Spearhead the Critical Data Element (CDE) initiative.

• Establish significant quality metrics and thresholds.

• Create executive and Board-level scorecards.

• Write and maintain the enterprise Data Quality Policy, framework, and methodology; promote and drive its adoption.

• Define the CDE methodology and assist Domain Working Groups in identifying CDEs while establishing defensible thresholds.

• Construct and manage Board-level Data Quality scorecards; set baselines and report on trends.

• Supervise remediation by monitoring issues to resolution at the source, escalating systemic defects, and conducting root-cause analysis with process and system owners.

• Independently evaluate master data quality as reported by Enterprise MDM.

• Convert quality performance metrics into business outcomes and cost implications of poor quality.

⛳️ Requirements

• Bachelor’s degree in information systems, Data Management, Business, or a related discipline.

• At least 6+ years of experience in data quality, data management, or analytics, including leadership of an enterprise or multi-domain Data Quality program.

• Proven track record in developing Data Quality frameworks, rules, scorecards, and remediation procedures.

• Strong analytical skills and proficiency in SQL.

• Comfortable profiling and interpreting extensive data sets.

• Experience in presenting quality performance metrics to senior leadership.

• Preference will be given to candidates located in the Eastern or Central time zones.

• Master’s Degree.

• Familiarity with Informatica Data Quality (DQ) or similar DQ tools.

• Experience working in a regulated industry with DQ expertise (ALCOA+, Part 11).

• Skills in quantifying the cost of poor data quality.