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Technical Program Manager

West Coast Consulting LLCUnited States🇺🇸United StatesPosted Oct 18, 2026

Why This Role Stands Out

This Technical Program Manager role offers a fantastic opportunity to drive impactful technology initiatives within a reputable consulting firm, perfect for experienced professionals seeking to expand their leadership and technical expertise. You'll thrive in this dynamic, hybrid environment by leveraging your proven ability to manage complex projects and cross-functional teams, ultimately shaping the future of innovative solutions. Apply today to embark on your next career adventure!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
United States
Posted
2 days ago
SAFeScrumAgilePMPStakeholder Management

Job Description

Job Description
Position: Technical Program Manager
Location: Sunnyvale, CA
Onsite.
Summary
Senior Technical Program Manager to lead complex, cross-functional technology initiatives that power large-scale customer experiences and enterprise platforms. The ideal candidate has extensive experience delivering cloud-native, data-driven, and AI-enabled products while partnering with engineering, product, architecture, and business stakeholders to execute strategic programs from concept through production.
Responsibilities
  • Lead end-to-end execution of large-scale technology programs across engineering, product management, architecture, data science, and business teams.
  • Define program strategy, technical roadmaps, milestones, dependencies, and delivery plans for highly complex initiatives.
  • Drive architecture discussions and collaborate with engineering leaders to build scalable, resilient, and cloud-native platforms.
  • Manage multiple concurrent workstreams, identify risks, remove blockers, and ensure predictable delivery across globally distributed teams.
  • Partner with Product Managers to prioritize features, define execution plans, and align engineering deliverables with business objectives.
  • Lead Agile/SAFe planning, quarterly roadmaps, sprint planning, backlog prioritization, and release management.
  • Establish governance models, executive reporting, KPIs, and program metrics to ensure successful execution.
  • Coordinate cross-functional teams spanning Product, Engineering, Architecture, Data Science, Security, Infrastructure, Compliance, Finance, and Operations.
  • Drive cloud modernization, platform migrations, data engineering initiatives, and enterprise digital transformation programs.
  • Collaborate with executive leadership to communicate program status, risks, trade-offs, and strategic recommendations.
  • Ensure high-quality delivery while balancing scalability, reliability, security, and operational excellence.

Required Skills:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 12+ years of experience in Technical Program Management, Software Engineering, or Engineering Leadership.
  • Proven experience leading enterprise-scale technology programs valued at $10M+.
  • Strong understanding of distributed systems, cloud-native architectures, microservices, APIs, and modern software engineering practices.
  • Experience managing multiple engineering teams across global locations.
  • Hands-on knowledge of Agile, Scrum, and SAFe methodologies.
  • Strong stakeholder management and executive communication skills.
  • Experience driving large-scale digital transformation initiatives.
  • Ability to influence engineering and product leadership without direct authority.

Preferred Skills:
  • Experience in Payments, FinTech, Retail, Marketplace, or eCommerce platforms.
  • Strong knowledge of Google Cloud Platform, AWS, Databricks, and modern data platforms.
  • Experience with AI/ML, Generative AI, and data engineering initiatives.
  • Knowledge of fraud detection, customer analytics, and recommendation platforms.
  • Experience leading cloud migration and platform modernization programs.
  • PMP, CSM, or SAFe certifications are a plus.

Technical Skills:
Cloud: Google Cloud Platform, AWS, Databricks, Hadoop
Architecture: Microservices, Distributed Systems, Event-Driven Architecture, API-First Design
AI/ML: Vertex AI, TensorFlow, PyTorch, MLflow, Generative AI, LLMs, Agentic AI
Data Technologies: BigQuery, Dataflow, Dataproc, Airflow, Pub/Sub, Lakehouse
Integration: REST APIs, MuleSoft, Apigee
Programming: Java, Python
Methodologies: Agile, Scrum, SAFe, Program Governance

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