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# Associate Director, Data Operations & Issue Management

- **Company:** CareerCircle
- **Location:** East Hanover, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $152,600.0 - $283,400.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Agile Methodology, Data Analysis, Confluence, JIRA, Clinical Data Management, Hospital Information Systems, Information Systems, Data Centers, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Data Mining, Database Development, Electronic Data Capture, Information Management, Interoperability, Metadata, Meta-Data Management, Scrum Methodology, Power BI, DataOps, Tableau (Software), Smartsheet, Data Processing, Information Technology, Health Level Seven International, Data Management, Data Pipelines, Raster Graphics, Servicenow
- **Published:** August 25, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nj/east-hanover/9cd35583-8089-4e13-a8eb-135ebfe9c370

## About the Role

Power BI
Metadata
Dashboard
Operations
Leadership
Automation
Governance
Innovation
ServiceNow
Data Quality
Communication
Prioritization
Data Pipelines
Follow Through
Pharmaceuticals
Detail Oriented
Data Governance
Data Management
Computer Science
Data Engineering
Issue Management
Influencing Skills
Service Management
Workflow Management
Information Systems
Incident Management
Atlassian Confluence
Organizational Skills
Business Technologies
Stakeholder Management
Operational Excellence
Service-Level Agreement
Business Continuity Planning
Influencing Without Authority
Continuous Improvement Process
Operational Performance Management
Tableau (Business Intelligence Software), * Bachelor's degree in Data Management, Information Systems, Business, Computer Science, Engineering, Analytics, or a related field.

 * 5+ years of experience in data operations, issue management, data governance, data quality, data engineering operations, service management, or program operations.
 * Experience managing operational issue logs, incident workflows, SLA tracking, escalation routines, and remediation plans.
 * Strong understanding of data products, data pipelines, data quality controls, metadata, lineage, data governance, and production support processes.
 * Experience working with cross-functional teams across data engineering, governance, analytics, business, vendors, and technology platforms.
 * Familiarity with tools such as Jira, ServiceNow, Confluence, Smartsheet, Excel, Power BI, Tableau, or similar.
 * Ability to analyze issue trends, root causes, SLA performance, operational risks, and recurring gaps.
 * Strong stakeholder management skills with ability to coordinate across teams and influence timely resolution.
 * Strong communication skills, including ability to summarize operational risks and issues for leadership.
 * Excellent organizational skills, attention to detail, follow-through, and comfort managing multiple priorities.

Desirable Requirements

 * Experience with post-go-live support, hypercare, incident management, or service transition.
 * Familiarity with regulated data environments, pharma commercial data, or compliance-driven operations., 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, Management
Mentorship
Governance
Innovation
Psychology
Compassion
Resourcing
Data Types
Negotiation
Forecasting
Coordinating
Data Capture
Disabilities
Communication
Data Modeling
Prioritization
Drug Discovery
Detail Oriented
Clinical Trials
Decision Making
Data Governance
Data Management
Data Collection
Data Processing
Data Extraction
Data Validation
Customer Service
Data Acquisition
Operating Budget
Telephone Skills
Interoperability
People Management
Clinical Research
Case Report Forms
Training Delivery
Employee Relations
Influencing Skills
Industry Standards
Root Cause Analysis
Conflict Resolution
Metadata Management
Data Transformation
Contingent Workforce
Process Optimization
Business Requirements
Clinical Study Design
Stakeholder Management
Operational Excellence
Information Management
Regulatory Requirements
Pre-Clinical Development
Clinical Data Management
Persuasive Communication
Health Level Seven (HL7)
Pharmaceutical Terminology
Hospital Information Systems
Arc Digitized Raster Graphic
Ethical Standards And Conduct
User Acceptance Testing (UAT)
Electronic Data Capture (EDC)
Good Clinical Practices (GCP)
Developing Training Materials
Clinical Database Development
Influencing Without Authority
Continuous Improvement Process
Corrective And Preventive Action (CAPA)
Project Management Professional Certification

## Description

#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. If you're energized by improving systems, solving critical issues, and helping teams succeed through reliable data, this role could be your next opportunity. As the Associate Director, Data Operations & Issue Management, you will lead efforts that ensure enterprise data products remain stable, trusted, and
business-ready. In this highly visible role, you'll drive issue resolution, operational governance, and continuous improvement across critical data products, partnering with data engineering, data quality, analytics, and business teams to maintain operational excellence and deliver trusted data at scale. If you thrive in a fast-paced environment, enjoy solving complex challenges, and are motivated by creating meaningful business impact, you'll find an exciting opportunity to shape the future of data operations at Novartis.

About the Role

Key Responsibilities

 * Lead enterprise data operations and issue management across certified data products and critical data capabilities.
 * Manage issue intake, triage, prioritization, escalation, tracking, and resolution to ensure operational stability.
 * Monitor service level agreements, issue trends, remediation progress, and operational performance metrics.
 * Partner with data engineering teams to resolve pipeline failures, delivery issues, and production incidents.
 * Collaborate with data quality teams to address quality issues, root causes, and corrective actions.
 * Coordinate cross-functional resolution efforts across business, technology, vendor, and data teams.
 * Escalate critical risks, dependencies, and service disruptions to ensure timely leadership visibility.
 * Lead operational reviews, issue governance forums, remediation checkpoints, and post-incident follow-ups.
 * Produce dashboards and reporting that provide insight into risks, service levels, and operational performance.
 * Drive continuous improvement by identifying automation opportunities, reducing recurring issues, and enhancing operational processes.


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