Cross Program Data Lead

General Motors • Warren, MI

2d • Hybrid

About The Position

The Role The Cross Program Data Lead is a hands‑on analytics expert who turns GMNA Design program and studio data into clear, actionable insights. This role owns core Design Operations data and reporting systems, partners with IT on enhancements, and builds reports, scorecards, dashboards, and visualizations that inform decisions across Program & Studio Management and Cross Vehicle Program Management (CVPM) within the Design organization. This position mines data across various Design program sources such as on‑time program deliverables and execution, Design Workload Model (WLM), Design Change Requests (DCR/eMERGE), and other program health indicators to create metrics and tools that help the Senior Manager, Program & Studio Management and the Cross Vehicle Program Manager (CVPM) run the Design enterprise more effectively. The ideal candidate is detail‑oriented, data‑savvy, drives change, and thrives in a dynamic environment. What You’ll Do 1. Data Ownership & Systems Stewardship Own and curate core Design Operations data sets across workload, program execution, program readiness, DCRs, and related program management systems (e.g., WLM, GRDS, eMERGE, PM tools, finance views) with a future expectation of integrating with events and facilities data. Act as business owner for key reporting and analytics solutions, partnering with IT, Data, and tool owners to define requirements, prioritize enhancements, test changes, and ensure data quality and availability. Maintain a “single source of truth” for Design program and workload data, including documentation, data dictionaries, and governance standards. 2. Reporting, Scorecards, Dashboards & Visualizations Design, build, and maintain standard reports, scorecards, and dashboards that support Program & Studio Management, CVPM, Design leadership forums, and studio teams (e.g., on‑time performance, late change, rework, workload balance, DCR metrics). Develop high‑impact data visualizations (Power BI or similar) that make complex data easy to understand and use in discussions, reviews, and decision forums. Create executive‑ready views (slides, one‑pagers, visuals) that synthesize key messages for senior stakeholders. 3. Analytics & Insights Mine program data across studios and vehicle lines to identify patterns, risks, and opportunities related to workload, on‑time execution, late changes, and design churn. Generate insights and narratives, not just numbers—translating data into clear stories and recommendations to guide decisions by the Senior Manager, Program & Studio Management and the CVPM. Support ad‑hoc analysis requests (e.g., “what‑if” scenarios, deep dives on specific programs, portfolio cuts) while working to standardize and automate recurring needs where possible. 4. Metrics & Performance Management Define, refine, and maintain key metrics that measure the performance of the Program & Studio Management team and studio operations, including but not limited to: On‑time deliverables and gate readiness Late change / DCR volume, timing, and rework Workload balance and capacity vs. demand (by studio/brand/team) Execution quality indicators for program and studio management Partner with leaders to set targets, track progress, and highlight trends; ensure metrics are consistently defined and used across forums. 5. Decision Support for Program & Studio Management and CVPM Serve as a dedicated data partner to the Senior Manager, Program & Studio Management and the Cross Vehicle Program Manager, ensuring they have timely, reliable information for planning, escalations, and performance reviews. Provide the data foundation for cross‑program views (e.g., portfolio health, studio comparisons, advanced/concept work vs. production, resource trade‑offs). Support preparation for key forums (e.g., GDLT, NADR, DPR, X‑EDoD, GSO, MRR, internal Design Ops reviews, etc) by assembling and packaging the right data for the right audience. 6. Cross‑Functional Partnership Partner closely with cross‑functional Design teams, Finance, and Global Design partners to align data sources, reconcile discrepancies, and ensure common definitions of metrics and performance. Collaborate with Finance to connect operational metrics to financial views (e.g., FTEH/FTEG, budget vs. workload) and support planning discussions. Align with Design GVDP/Process & Governance and CVPM on how data supports GVDP deliverables, DCR process improvements, and forum standards. May require occasional support outside standard business hours during key reviews, portfolio discussions, or critical decision points. 7. Continuous Improvement & Change Enablement Identify opportunities to reduce manual reporting and rework by automating data pipelines, standard reports, and self‑service dashboards. Contribute to process and tool roadmaps for Design data and reporting (e.g., GRDS, WLM, eMERGE, Power BI), providing input based on user needs and analytic gaps. Help drive adoption of new metrics, dashboards, and reporting standards through clear documentation, demos, and one‑on‑one support.

Requirements

• Bachelor’s degree in Business, Data Analytics, Engineering, Information Systems, or equivalent relevant experience.
• Typically 3+ years of experience in data analysis, business intelligence, or program analytics; experience in product development or portfolio planning.
• Typically 3+ years of experience in operations reporting with insight development.
• Strong proficiency with data analytics and visualization tools (e.g., Power BI, Tableau, Maxis, Excel, SQL, PowerApps/Power Automate, or similar), and comfort working across multiple systems.
• Demonstrated ability to translate complex data into clear, concise insights and visual stories for non‑technical audiences.
• Experience defining and tracking operational KPIs, building dashboards, scorecards, and supporting leadership decision‑making.
• Proven track record of being detail‑oriented, organized, and capable of managing multiple concurrent requests and deadlines.
• Comfort working in a dynamic, fast-changing environment, with a bias for action and continuous improvement.
• Familiarity with AI‑enabled analytics or automation to streamline reporting and analysis.

Nice To Haves

• Experience working with Design Program Management, GVDP, DCR/eMERGE, WLM/GRDS, Purchasing, Resource Balancing tools, or similar automotive development processes and systems.
• Prior exposure to Design Operations, Program & Studio Management, Portfolio Planning, Product Programs, and/or Cross Vehicle Program related work.
• Experience partnering with Finance on workload and budget, FTE, or budget analyses.
• Key Competencies Data & Analytical Rigor – Able to structure problems, validate data, and derive meaningful insights.
• Visualization & Storytelling – Presents data in compelling, easy‑to‑use formats that guide decisions.
• Vision Development – Able to define and translate emerging trends in the discipline into aspirational objectives and goals.
• Detail Orientation & Quality – High bar for data accuracy, documentation, and clarity.
• Data Judgement - Reviews data and uses inductive and deductive reasoning to make meaningful inferences and/or recommend further investigative steps.
• Change Agility – Comfortable iterating quickly, adapting to new priorities, and helping others through change.
• Collaboration & Influence – Works effectively across Design, Finance, IT, and global partners; can influence without formal authority.
• Ownership & Follow‑Through – Takes end-to-end ownership of data products, from requirements to deployment and maintenance.

Responsibilities

• Data Ownership & Systems Stewardship
• Reporting, Scorecards, Dashboards & Visualizations
• Analytics & Insights
• Metrics & Performance Management
• Decision Support for Program & Studio Management and CVPM
• Cross‑Functional Partnership
• Continuous Improvement & Change Enablement

Benefits

• From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
• Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees