Technical Program Manager
Eliassen Group
Walnut Creek, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 177KJob location
Walnut Creek, United States of America
Tech stack
Artificial Intelligence
Application Lifecycle Management
User Authentication
Data Centers
Digital Technology
RAID
Machine Learning
Release Management
Job description
- Own end-to-end program and project management for large-scale digital initiatives across fraud authentication, AI enablement, application modernization, and data center migration and exit.
- Manage delivery across a distributed Bay Area team of engineers and program managers.
- Drive execution under SOW-based engagements, maintaining scope, milestones, approvals, and deliverables.
- Oversee release planning and coordination to scale from approximately 4 releases per month to 40+ releases per month.
- Partner with architecture, infrastructure, and network teams to coordinate dependencies, manage platform readiness, and enforce release and change management best practices.
- Provide governance including roadmaps, RAID logs, status reporting, and executive-level communication.
- Serve as a trusted partner to business and technology stakeholders within leadership for digital technology initiatives.
Requirements
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 8-12+ years of experience in technical program or project management.
- Financial services background within large enterprise banking environments.
- Prior Wells Fargo experience.
- Track record leading large, cross-functional technology programs.
- Expertise in release management, network dependencies, and infrastructure and application lifecycle.
- Experience with AI, machine learning, or enterprise AI enablement initiatives.
- Ability to operate in high-change and high-scale environments.
- Experience supporting fraud, authentication, or security platforms (preferred).
- Data center migration and application exit strategies experience (preferred).
- Application modernization program experience (preferred).
- Exposure to enterprise-scale AI transformations such as DTI (preferred).
- Strong stakeholder management experience within regulated environments (preferred).
