Descripción

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.

Your Skill and Abilities (Required Qualifications)

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.

What Will Give You A Competitive Edge (Preferred Qualifications)

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.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

El candidato seleccionado deberá viajar menos del 25 % del tiempo para este puesto.

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