Service Delivery Manager

  • San Jose, CA
  • Posted 4 days ago | Updated 4 days ago

Overview

Hybrid
$50 - $60
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Accountability
Agile
Amazon Web Services
Analytics
Artificial Intelligence
Budget
Business Intelligence
Cloud Computing
Collaboration
Communication
Conflict Resolution
Continuous Improvement
Dashboard
Data Governance
Data Lake
Data Security
Data Warehouse
Delivery Management
Documentation
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
ITIL
Leadership
Machine Learning (ML)
Management
Microsoft Azure
Migration
PMP
Performance Metrics
Presentations
Problem Solving
Project Management
Project Scoping
Python
Regulatory Compliance
Reporting
SQL
Service Delivery
Testing

Job Details

Role Overview

The Service Delivery Manager will lead strategic data and AI-driven programs, overseeing the end-to-end delivery of projects that span data warehouses, BI platforms, cloud migrations, and GenAI-based implementations. This role requires deep expertise in modern cloud data ecosystems, strong leadership in delivery management, and hands-on experience integrating AI technologies beyond standard AI assistants.

Key Responsibilities

Project Planning & Execution

  • Define project scope, goals, deliverables, and success criteria in alignment with stakeholders.

  • Develop and manage detailed project plans, schedules, budgets, and resource allocations.

  • Drive project milestones, ensuring timelines and quality benchmarks are met.

  • Manage dependencies and prioritize tasks to maintain smooth project flow.

Team & Stakeholder Management

  • Lead cross-functional teams including data engineers, BI developers, analysts, and cloud specialists.

  • Collaborate with product and business teams to align technical delivery with strategic objectives.

  • Maintain consistent communication with all stakeholders through reports, updates, and governance sessions.

  • Foster a collaborative and accountable team environment.

Risk & Issue Management

  • Identify, assess, and mitigate project risks proactively.

  • Resolve conflicts and remove roadblocks impacting delivery.

  • Escalate critical issues appropriately while maintaining confidence and control.

Quality & Compliance

  • Enforce adherence to data security, governance, and quality standards.

  • Oversee validation, testing, and sign-off processes for data deliverables.

  • Ensure compliance with internal policies and industry regulations.

Reporting & Documentation

  • Maintain detailed documentation of project plans, risks, decisions, and lessons learned.

  • Generate executive-level dashboards, progress reports, and performance metrics for leadership.

  • Support continuous improvement initiatives through data-driven insights and retrospectives.

Required Skills & Experience

  • 10+ years of experience managing end-to-end data platform or analytics delivery projects.

  • Proven experience in data warehouse or data lake implementations, BI/reporting rollouts, and cloud migrations.

  • Deep understanding of modern data architectures including SQL, Python-based ETL, and cloud ecosystems (AWS, Azure, Google Cloud Platform).

  • Hands-on experience in implementing GenAI-based delivery models, AI Ops, and agentic AI systems beyond standard AI assistant usage.

  • Demonstrated success in managing large-scale, cross-functional project teams.

  • Strong stakeholder communication, presentation, and problem-solving skills.

  • Experience with Agile or hybrid project management methodologies.

Preferred Qualifications

  • Certifications in PMP, ITIL, Agile, or Cloud (AWS/Azure/Google Cloud Platform).

  • Experience in setting up enterprise data governance frameworks.

  • Exposure to cutting-edge AI/ML and automation tools for enterprise operations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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