Enterprise Data Quality Leader — Associate Director

Novartis AG; United States; Hybrid; USD 153,000 - 283,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Job summary

Novartis seeks an Associate Director, Data Quality to lead enterprise data quality initiatives and collaborate with Data Governance, Data Engineering, and business stakeholders. Drive trust and measurable improvements in data assets, enabling analytics, regulatory excellence, and AI-ready data.

You will work across functions to establish quality standards, scalable rules, and automated observability, shaping data-driven decisions at scale.

Qualifications

• 8+ years in data quality, including 3+ years leading teams in a regulated industry (pharma/life sciences 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.

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

Team leadership

Data governance

SQL

Data observability

Data profiling

Stakeholder collaboration

Tools

Data catalogs

Observability platforms

Reporting dashboards

Workflow tools

Job description

Novartis seeks an Associate Director, Data Quality to lead enterprise data quality initiatives and collaborate with Data Governance, Data Engineering, and business stakeholders. Drive trust and measurable improvements in data assets, enabling analytics, regulatory excellence, and AI-ready data.

You will work across functions to establish quality standards, scalable rules, and automated observability, shaping data-driven decisions at scale.