Remote Leader, People Analytics Enablement

General Motors; Michigan; Remote; USD 179,000 - 273,000; Full time

Benefits offered by this job

GM vehicle discounts

Tuition assistance programs

Paid vacation & holidays

Job summary

General Motors seeks a Leader of People Analytics Enablement to co‑architect and drive the foundational BI strategy and semantic data foundations that empower enterprise workforce insights. You will partner with PA leadership and IT to build trusted data products, governance, and analytics enablement across HR.

This role works remotely with occasional travel within the U.S. You will lead a team responsible for semantic models, data products, adoption practices, and outcomes, aligning PA/IT to HR

Qualifications

• 12+ years in People Analytics, HR analytics enablement, enterprise analytics, data product, BI, or analytics platform leadership.
• 5+ years leading teams across analytics, enablement, data, product, semantic modeling, BI, or platform functions.
• Proven success scaling governed analytics with the latest technologies, BI strategy, semantic models, data foundations, and insight delivery in complex enterprise environments.

Responsibilities

• Co-architect and execute the PA Enablement and BI Strategy with PA Leadership Team and IT under PA/IT co-accountability.
• Translate strategy into priorities, governed products, semantic foundations, and measurable outcomes.
• Drive adoption so analytics moves from available to used in decisions with clear narratives and data literacy.

Skills

People Analytics

Analytics leadership

Data governance

Job description

General Motors seeks a Leader of People Analytics Enablement to co‑architect and drive the foundational BI strategy and semantic data foundations that empower enterprise workforce insights. You will partner with PA leadership and IT to build trusted data products, governance, and analytics enablement across HR.

This role works remotely with occasional travel within the U.S. You will lead a team responsible for semantic models, data products, adoption practices, and outcomes, aligning PA/IT to HR