Associate Director, Data Quality Lead

Jobtailor; East Hanover (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking a senior data quality leader to set enterprise quality standards and governance in a regulated environment. You will drive data quality controls across the data product lifecycle and lead monitoring for critical assets.

Ideal candidates bring 8+ years in data quality, 3+ years leading teams in regulated industries, and pharma/Life Sciences domain familiarity, with strong SQL and observability skills.

Qualifications

• 8+ years in data quality.
• 3+ years leading teams in a regulated industry.
• Pharma/life sciences experience strongly preferred.
• Strong understanding of data quality dimensions, data profiling, validation, data cleansing, root cause analysis, and remediation.
• Knowledge of data governance frameworks, data stewardship, metadata, lineage, and data product certification.
• Familiarity with data quality tools, data observability platforms, SQL, data catalogs, workflow tools, and reporting dashboards.
• Understanding of data engineering concepts, including data pipelines, ingestion, transformation, controls, monitoring, and production support.
• Ability to define measurable data quality rules and translate business requirements into technical requirements.
• Knowledge of AI-ready data concepts, including trusted datasets, lineage, quality thresholds, and governed usage.
• Must be accessible to the East Hanover, New Jersey site if applying for the preferred location.
• Company will not sponsor visas for this position.

Responsibilities

• Define and advance enterprise data quality standards, frameworks, policies, and measurement practices.
• Establish scalable quality rules, thresholds, scorecards, dashboards, and reusable control frameworks.
• Partner with stakeholders to translate business needs into measurable data quality requirements.
• Embed data quality controls throughout the data product lifecycle and certification process.
• Lead enterprise monitoring, reporting, and performance tracking for critical data assets.
• Drive data quality issue triage, root cause analysis, escalation, and resolution activities.
• Collaborate with engineering teams to automate quality checks and data observability capabilities.
• Support AI-ready data initiatives by ensuring trusted, governed, and high-quality datasets.
• Maintain documentation, remediation plans, operational trackers, and control evidence.
• Foster a culture of accountability, continuous improvement, and confidence in enterprise data.

Skills

Data quality governance

Leadership

Stakeholder collaboration

Automation awareness

Tools

SQL

Data Quality Tools

Data Observability Platforms

Data Catalogs

Workflow Tools

Reporting Dashboards

Job description

• Define and advance enterprise data quality standards, frameworks, policies, and measurement practices


• Establish scalable quality rules, thresholds, scorecards, dashboards, and reusable control frameworks


• Partner with stakeholders to translate business needs into measurable data quality requirements


• Embed data quality controls throughout the data product lifecycle and certification process


• Lead enterprise monitoring, reporting, and performance tracking for critical data assets


• Drive data quality issue triage, root cause analysis, escalation, and resolution activities


• Collaborate with engineering teams to automate quality checks and data observability capabilities


• Support AI-ready data initiatives by ensuring trusted, governed, and high-quality datasets


• Maintain documentation, remediation plans, operational trackers, and control evidence


• Foster a culture of accountability, continuous improvement, and confidence in enterprise data

Requirements

• 8+ years in data quality


• 3+ years leading teams in a regulated industry


• Pharma/life sciences experience strongly preferred


• Strong understanding of data quality dimensions, data profiling, data validation, data cleansing, root cause analysis, and remediation


• Knowledge of data governance frameworks, data stewardship, critical data elements, metadata, lineage, and data product certification


• Familiarity with data quality tools, data observability platforms, SQL, data catalogs, workflow tools, and reporting dashboards


• Understanding of data engineering concepts, including data pipelines, ingestion, transformation, controls, monitoring, and production support


• Ability to define measurable data quality rules and translate business requirements into technical requirements


• Knowledge of AI-ready data concepts, including trusted datasets, lineage, quality thresholds, and governed usage


• Must be accessible to the East Hanover, New Jersey site if applying for the preferred location


• Company will not sponsor visas for this position

Core Competencies

Demonstrates expertise in defining and advancing enterprise data quality standards and frameworks, with a strong focus on data governance, quality measurement, and automation of quality checks. Proven ability to lead teams in regulated industries, particularly in pharma/life sciences, while fostering a culture of continuous improvement and accountability.

Highest-signal resume keywords

• Data Quality Management


• Data Governance Frameworks


• Root Cause Analysis


• Data Quality Tools


• Data Engineering Concepts

ATS Optimization Keywords

Hard Skills

• Data Quality Dimensions


• Data Profiling


• Data Validation


• Data Cleansing


• Data Stewardship


• Metadata Management


• Data Lineage


• Data Product Certification


• Measurable Data Quality Rules


• AI-Ready Data Concepts

Soft Skills

• Collaboration


• Continuous Improvement


• Accountability

Industry Keywords

• Pharma


• Life Sciences


• Regulated Industry


• Data Product Lifecycle


• Data Quality Issue Triage

Tools & Technologies

• SQL


• Data Quality Tools


• Data Observability Platforms
  
• Data Catalogs


• Workflow Tools


• Reporting Dashboards