Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- 5 years of experience in a leadership role with/without direct reports.
- Experience in coding and frameworks including SQL, R, Go or Python.
- Experience defining system or process requirements, building, integrating, or delivering layer 1, layer 2, or layer 3 network systems.
Preferred qualifications:
- 8 years of experience managing cross-functional/team projects.
- 5 years of supervisory experience.
- Understanding the technical and process tests associated with network planning.
- Excellent investigative and problem-solving skills.
- Excellent Financial skills e.g., business/project budget creation and cost-benefit analysis.
Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.
- Lead a team of 10 members who are collectively responsible for the generation of all campus plans for Google’s global production network.
- Evolve the business processes governing the generation of campus plans, throughout their life-cycle (e.g., input gathering, generation, validation, publication, handoff), specifically including the definition of the business policies that govern them (e.g., architectural/topology, hardware life-cycle, capacity/utilization goal, failure policy).
- Drive the software roadmap of all automatable tasks performed by the team, substantially reducing cycle time and improving quality and consistency.
- Define and instrument key business metrics for the team, continuously analyze them to deliver insights and improvements initiatives.
