Solution Analyst / Technical Project Manager

Job responsibilities

• Develop and execute comprehensive program plans (scope, milestones, dependencies, resourcing, timelines) to ensure on-time delivery of ET&P capabilities
• Partner with engineering and product to define requirements, success metrics/OKRs, and roadmaps aligned to business and developer outcomes
• Identify and mitigate risks; proactively address roadblocks and implement contingency plans to maintain momentum
• Drive cross-functional execution across engineering, product, architecture, cybersecurity, and operations to deliver integrated outcomes
• Establish and maintain program operating rhythm (intake, prioritization, dependency management, release planning, status reporting, and governance)
• Champion adoption of agile ways of working and continuous improvement across teams
• Drive programs that deliver and improve CI/CD and release capabilities by partnering with engineering teams; define requirements, manage roadmap/dependencies, and track outcomes
• Leverage data-driven insights to improve adoption and productivity (e.g., active usage, DORA metrics, incident trends, lead time)

Required qualifications, capabilities, and skills

• 4+ years of experience (or equivalent expertise) in technical project management leading complex technology initiatives in large organizations
• Strong stakeholder management skills with ability to influence decisions across engineering, product, and business leaders
• Demonstrated ability to independently reason through system behavior, production issues, and reliability/scalability trade-offs with senior engineers
• Proven track record managing dependencies, risks, and delivery in fast-paced, agile environments
• Strong data-driven approach: ability to define metrics/OKRs, measure impact, and drive continuous improvement
• Technical fluency across modern engineering practices (CI/CD, SDLC, release engineering, observability, incident management)

Preferred qualifications, capabilities, and skills

• Experience partnering with senior engineering and business leaders to drive adoption of new capabilities and demonstrate measurable outcomes
• Experience applying AI/automation to reduce engineering toil and improve delivery efficiency (e.g., test automation, release validation, incident triage, developer self-service)