Data Quality Lead for Enterprise AI-Ready Data

Novartis; United States; On-site; USD 153,000 - 283,000; Full time

Benefits offered by this job

Performance-based incentive

Annual equity awards eligibility

Health, life and disability benefits

401(k) with company contribution and 2

Generous time off

Job summary

Novartis is seeking an Associate Director, Data Quality, to lead enterprise data quality efforts across governance, engineering, and product teams in a regulated healthcare setting. You will drive standards, controls, and measurable improvements to ensure trusted data assets for analytics and AI initiatives.

The role emphasizes scaling data quality programs, partnering with stakeholders, and delivering governance-informed solutions that enable regulatory excellence and data-driven decision

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, 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

Data governance

SQL

Data observability

Data pipelines

Data profiling

Root cause analysis

Data stewardship

Tools

Data catalogs

Workflow tools

Reporting dashboards

Data observability platforms

Job description

Novartis is seeking an Associate Director, Data Quality, to lead enterprise data quality efforts across governance, engineering, and product teams in a regulated healthcare setting. You will drive standards, controls, and measurable improvements to ensure trusted data assets for analytics and AI initiatives.

The role emphasizes scaling data quality programs, partnering with stakeholders, and delivering governance-informed solutions that enable regulatory excellence and data-driven decision