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Spectraforce

Program Manager II

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What they do

A Technical Program Manager oversees all aspects of technical projects for their organization. They focus on overseeing the development, implementation, and delivery of technical solutions or products, often involving software development, hardware engineering, or IT infrastructure. They may be responsible for initiating programs, monitoring their progress, and providing technical support if issues arise.

$189,166 / year median in California

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Job Description

Position Title:
Program Manager II, Data Science & Machine Learning Work Location:
South San Francisco Assignment Duration:
6 months
Work Schedule:
Monday through Friday, 9 AM to 5 PM (standard 8 hours)
Work Arrangement:
Hybrid (three days onsite, two remote)
Key Responsibilities:
Facilitate Core Ceremonies:
Lead sprint planning, daily standups, backlog refinement, and retrospectives tailored to non-linear Data Science & ML workflows. •
Unblock Technical Teams:
Proactively identify, track, and clear technical and operational roadblocks for data scientists and ML engineers. •
Dependency & Milestone Tracking:
Track internal technical deliverables and cross-functional dependencies across data pipelines, model builds, and engineering integrations. •
Execution Transparency:
Maintain accurate, up-to-date execution status in Jira/Confluence to provide clear visibility into sprint velocity, risks, technical blockers, and completion timelines.
Qualification & Experience:
Experience:
5+ years of combined experience as a Program Manager and Scrum Master. •
Agile Expertise:
Proven track record of applying Agile practices to data-driven software development environments. •
Tooling Mastery:
Advanced proficiency in Jira, Confluence, or equivalent project management tools configured for data workflows. •
Execution Focus:
Strong ability to keep technical teams focused on high-priority deliverables and maintain momentum across complex engineering dependencies. • PMP or Agile certification preferred