Technical Project Manager III / Solution Analyst
Role Overview
The Solution Analyst / Technical Project Manager works on the Engineering Tools & Productivity team.
The team aims to simplify work for Consumer and Community Banking engineers.
The role delivers technology programs and capabilities aligned with business and developer outcomes and supports their adoption.
Key Skills for This Role
Full Job Posting
Role overview
The Solution Analyst / Technical Project Manager works on the Engineering Tools & Productivity team.
The team aims to simplify work for Consumer and Community Banking engineers.
The role delivers technology programs and capabilities aligned with business and developer outcomes and supports their adoption.
Program delivery
- Develop program plans covering scope, milestones, dependencies, resourcing, and timelines.
- Partner with engineering and product to define requirements, success metrics or OKRs, and roadmaps.
- Manage risks, roadblocks, contingency plans, and cross-functional execution across engineering, product, architecture, cybersecurity, and operations.
- Establish intake, prioritization, dependency management, release planning, reporting, and governance; promote agile practices and continuous improvement.
Engineering capabilities and measurement
- Drive programs to deliver and improve CI/CD and release capabilities, managing requirements, roadmaps, dependencies, and outcomes.
- Use active usage, DORA metrics, incident trends, lead time, and other data-driven insights to improve adoption and productivity.
- Use enterprise-authorized AI for requirements synthesis, solution optioning, and architecture documentation; validate outputs and follow data sensitivity and security requirements.
Required qualifications
- At least 4 years of technical project management experience, or equivalent expertise, leading complex technology initiatives in large organizations.
- Strong stakeholder influence, systems reasoning, and experience managing dependencies, risks, and delivery in agile environments.
- Able to define metrics and OKRs, measure impact, and drive continuous improvement.
- Technical fluency across CI/CD, SDLC, release engineering, observability, and incident management.
- Experience using enterprise-authorized AI in solutions analysis; able to validate AI-assisted work and follow data-handling expectations.
Preferred qualifications
- Experience partnering with senior engineering and business leaders to drive adoption and measurable outcomes.
- Experience applying AI or automation to reduce engineering toil and improve delivery efficiency, such as test automation, release validation, incident triage, or developer self-service.
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