Salesforce Developer

Metadata Dashboard Innovation Scalability Data Quality Life Sciences Observability Accountability Data Cleansing Data Profiling Data Pipelines Pharmaceuticals Data Governance Team Leadership Data Validation Data Engineering Business Decisions Workflow Management Root Cause Analysis Business Requirements Operational Excellence Artificial Intelligence SQL (Programming Language) Product Lifecycle Management Continuous Improvement Process, #LI-Onsite Location: East Hanover, New Jersey Novartis is unable to offer relocation support: please only apply if accessible. Company will not sponsor visas for this position. The preferred location for this role is East Hanover, New Jersey site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, New Jersey site for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. Help shape the foundation of trusted, AI-ready data that powers critical business decisions across Novartis. As Associate Director, Data Quality, you will play a pivotal role in building and advancing enterprise data quality practices that ensure our most important data assets are accurate, reliable, and fit for purpose. Working across Data Governance, Data Engineering, Data Product teams, and business stakeholders, you will drive measurable improvements in data trust, lead enterprise-wide quality initiatives, and help unlock the full value of data for analytics, innovation, regulatory excellence, and artificial intelligence. If you are passionate about data quality, operational excellence, and delivering meaningful impact at scale, this is an opportunity to help transform how data fuels the future of healthcare.

About the Role

Key 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., Veeva DataOps Coaching Metadata Leadership Management Governance Innovation Semantic Web Communication Advertisement Data Modeling Pharmaceuticals Data Governance Data Management Team Leadership Data Engineering Data Architecture Influencing Skills Collibra (Software) Delivery Performance Alation Data Catalog Operational Excellence Software Documentation Artificial Intelligence Product Lifecycle Management Influencing Without Authority Continuous Improvement Process Resource Description Framework (RDF) +0

• 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., Resourcing Construction Data Centers Communication Chilled Water Prioritization Decision Making Data Collection Cooling Systems Building Design Change Management Project Management Mechanical Systems Program Management Industrial Processes Mechanical Engineering Stakeholder Management New Product Development Organizational Leadership Communications Management Stakeholder Communications Stakeholder Identification Continuous Improvement Process Milestones (Project Management) Organizational Change Management Professional Engineer (PE) License +0

Google Project Management, Dashboard Templates Timelines Leadership Governance Innovation Communication Prioritization Data Governance Data Management Business Metrics Agile Methodology Resource Planning Demand Management Capacity Planning Lean Manufacturing Influencing Skills Program Management Performance Metric Business Valuation Portfolio Analysis Information Systems Data Transformation Delivery Performance Portfolio Management Resource Utilization Stakeholder Management Business Administration Scrum (Software Development) Continuous Improvement Process

The salary for this position is expected to range between $152,600 - $283,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a

variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture