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Service Delivery Manager

Ztek ConsultingIrvine, CA🇺🇸United StatesPosted 21 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Role: Service Delivery Manager

Location: Irvine, CA

Job Description:

Must Have Technical/Functional Skills

Data Bricks, EBT, Airflow, Asset Management exp

Roles & Responsibilities

We are seeking an experienced Service Delivery Manager (SDM) to lead Business-As-Usual (BAU) Operations, Production Support, and L3 Application/Data Platform Support within the Enterprise Data Office (EDO) organization supporting Asset Management business functions.

The SDM will be accountable for end-to-end service delivery, production stability, incident and problem management, service governance, operational excellence, SLA adherence, stakeholder communication, and continuous improvement

initiatives across enterprise data platforms and business-critical applications.

The ideal candidate will possess strong expertise in Asset Management operations, Enterprise Data Platforms, Incident Management, ITIL Service Management,

Data Operations, Cloud Platforms (Azure/AWS), Databricks, and Data Governance.

  • Own end-to-end BAU service delivery for EDO applications, platforms, and data services.
  • Serve as the primary point of contact for Production Support and L3 Service Operations.
  • Ensure compliance with service-level agreements (SLAs), operational KPIs, and governance standards.
  • Lead global support teams across multiple regions and time zones.
  • Drive operational stability and platform reliability for business-critical data services.
  • Establish service management processes aligned with ITIL best practices.
  • Lead L3 support teams responsible for critical production applications and data platforms.
  • Manage Major Incident (P1/P2) resolution and stakeholder communications.
  • Ensure rapid triage and resolution of production issues.
  • Oversee root cause analysis (RCA) and preventive action implementation.
  • Coordinate support activities across Development, Infrastructure, Cloud, Security, and Business teams.
  • Drive reduction in recurring incidents through proactive remediation.
  • Incident, Problem & Change Management
  • Manage:
  • Incident Management
  • Problem Management
  • Change Management
  • Release Management
  • Service Request Management
  • Lead post-incident reviews and lessons learned sessions.
  • Ensure proper change governance and production readiness reviews.
  • Minimize operational risk associated with releases and platform changes.
  • Maintain operational runbooks and knowledge repositories.
  • ________________________________________
  • Data Platform Operations
  • Manage operational support for:
  • Enterprise Data Warehouse
  • Data Lake Platforms
  • Databricks Environments
  • Data Integration Solutions
  • Data Governance Platforms
  • Analytics and Reporting Platforms
  • Key responsibilities include:
  • Monitoring data pipelines
  • Data quality issue management
  • Batch processing oversight
  • Platform health monitoring
  • Data reconciliation and integrity checks
  • Regulatory reporting support
  • ________________________________________
  • Stakeholder Management
  • Collaborate with:
  • Chief Data Office (CDO)
  • Portfolio Management Teams
  • Trading & Investment Operations
  • Data Governance Teams
  • Business Product Owners
  • Enterprise Architecture Teams
  • Infrastructure and Cloud Teams
  • Compliance & Risk Functions
  • Service Performance & Governance
  • Track and report:
  • SLA Compliance
  • Availability Metrics
  • Incident Trends
  • MTTR (Mean Time to Resolve)
  • MTBF (Mean Time Between Failures)
  • Service Reliability Metrics
  • Capacity Utilization
  • Customer Satisfaction Metrics
  • Continuous Improvement & Automation

Skills

AWS
Airflow
Azure
Compliance
Continuous Improvement
Databricks
Portfolio Management
Reconciliation
Regulatory Reporting
Root Cause Analysis
Stakeholder Management
Triage

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