Associate Director, Data Quality & Governance

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation; New Jersey; Hybride; USD 153 000 - 283 000; Plein temps

Avantages offerts par ce poste

Health benefits

401(k) with company match

Generous time off

Résumé du poste

Novartis Pharmaceuticals Corporation is seeking an Associate Director, Data Quality to shape enterprise data quality standards and governance. Based in East Hanover, NJ, with potential remote work, the role drives trust in data used for analytics, regulatory excellence, and AI readiness.

You will lead cross-functional teams and partner with Data Governance, Data Engineering, and business stakeholders to deliver measurable improvements.

Qualifications

• 8+ years in data quality with 3+ years in leadership in a regulated industry.
• Experience with data governance, metadata, lineage, and data product certification.
• Proficiency with SQL and data observability tooling.

Responsabilités

• Define and advance enterprise data quality standards and measurement practices.
• Establish scalable quality rules, dashboards, and control frameworks.
• Collaborate with stakeholders to translate business needs into data quality requirements.
• Lead enterprise monitoring and reporting for critical data assets.
• Automate quality checks with engineering teams.
• Support AI-ready data initiatives with governed datasets.
• Maintain documentation and remediation plans.

Connaissances

Data quality leadership

Regulated industry experience

Data governance

Stakeholder collaboration

Data profiling

Data observability

Team leadership

Outils

SQL

Data catalogs

Workflow tools

Dashboards

Description du poste

Novartis Pharmaceuticals Corporation is seeking an Associate Director, Data Quality to shape enterprise data quality standards and governance. Based in East Hanover, NJ, with potential remote work, the role drives trust in data used for analytics, regulatory excellence, and AI readiness.

You will lead cross-functional teams and partner with Data Governance, Data Engineering, and business stakeholders to deliver measurable improvements.