People Analytics Enablement Leader

General Motors•Work From Home - Michigan, MI

1d•$178,800 - $273,200•Remote

About The Position

We are seeking a Leader of People Analytics (PA) Enablement to lead the team responsible for the semantic, governance, data, and adoption foundations that make workforce insights trusted, scalable, and decision-ready across the enterprise. Reporting to the People Analytics Leader, this role carries high accountability for co-architecting and executing the People Analytics Enablement and BI Strategy in partnership with PA leadership, Strategy & Enablement peers, and IT. People Analytics and IT are co-accountable for BI Strategy & Enablement; this role turns that direction into scalable semantic models, metric definitions, certified data products, advanced analytics enablement, and insight delivery that are pivotal to the broader HR Strategy & Enablement organization’s success.

Requirements

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
Strong understanding of employee lifecycle, HR journeys, workforce planning, talent strategy, and HR decision-making moments
Deep familiarity with analytics operating models, data-as-a-product, semantic governance, BI strategy execution, insight delivery foundations, and platform-enabled analytics
Knowledge of data governance, integration, metric certification, data quality, business validation, workforce data models, and consumption-ready data products
Enterprise and systems thinking
Portfolio, prioritization, and capacity leadership
BI strategy execution, semantic enablement, metric governance, and analytics adoption
Executive communication, influence, and change leadership
Ability to translate complex analytics ecosystems into clear, trusted, usable decision support

Responsibilities

Lead Strategy Execution and Prioritization: Co-architect and execute the People Analytics Enablement and BI Strategy with the PA Leadership Team and IT under PA/IT co-accountability, aligning to business priorities, HR transformation, the PA-IT operating model, and the broader HR Strategy & Enablement agenda. Translate strategy into priorities, business requirements, governed products, semantic foundations, adoption practices, standards, reusable assets, and measurable outcomes. Enable People Analytics as a core tenet of HR Strategy & Enablement by ensuring data, insights, semantic foundations, and analytics enablement are embedded into how HR strategies are designed, prioritized, deployed, and measured.
Enable Data, Semantic, and Analytics Foundations: Lead the PA BI team accountable for trusted workforce meaning, semantic models, certified data products, BI assets, and advanced analytics capabilities. Translate workforce data into PA-ready logic, joins, point-in-time logic, derived attributes, analytical features, and domain validation. Enable consultants, analysts, and advanced analytics teams with analysis-ready data models, certified datasets, semantic definitions, and analytical features. Govern common business vocabulary, KPIs, dimensions, hierarchies, ontology, certification, and versioning to create a trusted source of truth.
Manage Demand, Governance, Adoption, and Semantic Enablement: Adopt and improve the People Analytics operating model for intake, prioritization, portfolio and capacity management, governance, decision rights, and success measures. Move approved PA demand through a disciplined backlog and governance process that balances sponsorship, capacity, decision rights, standards, and readiness. Drive adoption so analytics moves from available to used in decisions, supported by clear narratives, embedded guidance, and practical data literacy. Enable the semantic layer so agents, workflows, BI tools, and decision processes can leverage common language, trusted workforce data, and consistent metric definitions curated by this team. Translate business definitions, journey context, and moments that matter into reusable semantic assets and patterns that scale across BI tools, AI-enabled workflows, and embedded decision processes.
Strengthen Data Foundations and Partnership: Partner with IT, PA, and Strategy & Enablement to strengthen governance, quality, definitions, handoffs, and operating routines across the data pipeline. Represent PA ownership for PA Silver prototyping, semantic governance, Gold products, BI model enablement, AI/agent access, ML features, APIs, self-service data foundations, and advanced analytics data model enablement. Connect workforce, experience, operational, journey, and organizational data to support lifecycle, journey-level, and enterprise decision-making.