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Mid-level, metro-based program role with common title and broad skillset attracts moderate competition.
Core program management skills transfer broadly, though geospatial/annotation ops expertise raises domain specificity.
Explicit 5+ years, required startup experience, vendor management and analytics skills increase screening rigidity.
Lead scaling of AI Data Ops function by implementing automation-first, data-driven operational processes and reducing complexity.
Own program governance, vendor performance management, and cross-functional coordination to ensure efficient delivery of satellite and remote sensing imagery data.
Drive cost reduction initiatives, build automation roadmaps, and develop organizational SOPs and dashboard metrics for throughput, quality, and cost efficiency.
5+ years experience in program/project management, business operations, or management consulting with exposure to automation, vendor management, and cost optimization.
Proven track record of designing and building automation and metrics programs from scratch.
Experience managing external vendors and negotiating SLAs.
Hands-on startup environment experience.
Experienced operating at the intersection of strategy, operations, data science delivery, and vendor management in fast-scaling environments.
Data-savvy, able to construct and defend dashboards and business cases independently.
Proactive in designing and implementing repeatable systems and automation that reduce operational risk and complexity.