Associate Director, Data Operations and Issue Mangement Lead
Novartis
August 24, 2026
Remote friendly (East Hanover, NJ)
United States
IT
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 (SLAs), issue trends, remediation progress, and operational performance metrics.
- Partner with data engineering 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 across business, technology, vendor, and data teams.
- Escalate critical risks, dependencies, and service disruptions for timely leadership visibility.
- Lead operational reviews, issue governance forums, remediation checkpoints, and post-incident follow-ups.
- Produce dashboards/reporting on risks, service levels, and operational performance.
- Drive continuous improvement via automation, reducing recurring issues, and enhancing operational processes.
Essential Requirements:
- Bachelor’s degree in Data Management, Information Systems, Business, Computer Science, Engineering, Analytics, or related field.
- 5+ years’ experience in data operations, issue management, data governance, data quality, data engineering operations, service management, or program operations.
- Experience managing issue logs, incident workflows, SLA tracking, escalation routines, and remediation plans.
- Strong understanding of data products, pipelines, data quality controls, metadata/lineage, data governance, and production support.
- Cross-functional experience across data engineering, governance, analytics, business, vendors, and technology platforms.
- Tools: 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, communication, and organizational skills.
Desirable Requirements:
- Post-go-live support, hypercare, incident management, or service transition experience.
- Familiarity with regulated data environments and pharma/compliance-driven operations.
- 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 (SLAs), issue trends, remediation progress, and operational performance metrics.
- Partner with data engineering 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 across business, technology, vendor, and data teams.
- Escalate critical risks, dependencies, and service disruptions for timely leadership visibility.
- Lead operational reviews, issue governance forums, remediation checkpoints, and post-incident follow-ups.
- Produce dashboards/reporting on risks, service levels, and operational performance.
- Drive continuous improvement via automation, reducing recurring issues, and enhancing operational processes.
Essential Requirements:
- Bachelor’s degree in Data Management, Information Systems, Business, Computer Science, Engineering, Analytics, or related field.
- 5+ years’ experience in data operations, issue management, data governance, data quality, data engineering operations, service management, or program operations.
- Experience managing issue logs, incident workflows, SLA tracking, escalation routines, and remediation plans.
- Strong understanding of data products, pipelines, data quality controls, metadata/lineage, data governance, and production support.
- Cross-functional experience across data engineering, governance, analytics, business, vendors, and technology platforms.
- Tools: 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, communication, and organizational skills.
Desirable Requirements:
- Post-go-live support, hypercare, incident management, or service transition experience.
- Familiarity with regulated data environments and pharma/compliance-driven operations.