Technical Program Manager III, Learning and Development, Google Cloud

Responsibilities

• Lead the programmatic scoping and scaling of technical enablement telemetry and learning evaluation, data footprints, and automated capability analytics.
• Architect and manage robust quantitative engineering validation data pipelines to measure knowledge transfer efficacy across the workforce.
• Define data environment psychological constructs and cognitive load metrics, establishing precise system health goals with engineering leads. Translate proficiency telemetry into concrete feature requests, system schemas, and technical specifications for enablement platform developers.
• Own end-to-end instrumentation design for technical evaluations and automated data collection pipelines. Oversee system experimentation frameworks to evaluate enablement infrastructure efficacy and knowledge transfer models.
• Drive cross-functional alignments with technical leads to implement the AI Competency matrix and proficiency validation models globally. Establish data quality gates and validation models to guarantee the integrity and reliability of technical platform metrics.
• - Lead the programmatic scoping and scaling of technical enablement telemetry and learning evaluation, data footprints, and automated capability analytics. - Architect and manage robust quantitative engineering validation data pipelines to measure knowledge transfer efficacy across the workforce. - Define data environment psychological constructs and cognitive load metrics, establishing precise system health goals with engineering leads. Translate proficiency telemetry into concrete feature requests, system schemas, and technical specifications for enablement platform developers. - Own end-to-end instrumentation design for technical evaluations and automated data collection pipelines. Oversee system experimentation frameworks to evaluate enablement infrastructure efficacy and knowledge transfer models. - Drive cross-functional alignments with technical leads to implement the AI Competency matrix and proficiency validation models globally. Establish data quality gates and validation models to guarantee the integrity and reliability of technical platform metrics.

Minimum qualifications: