Senior Program Intelligence Analyst

GM•Warren, MI

14h•Hybrid

About The Position

General Motors is seeking a strategic, hands-on individual contributor to help define and deliver the future of Program Intelligence, analytics, and AI across the Program Management organization. This role sits at the intersection of data strategy, storytelling, and portfolio execution, enabling senior leadership to make faster, smarter decisions through high-quality, actionable insights. The analyst will be a key contributor to the Program Intelligence strategy, building scalable data products (dashboards, AI Agents, and analytics pipelines) and ensuring that information is consistent, trusted, and decision-ready. They will work directly with PMO leaders and cross-functional partners to design and deliver high-impact customer-facing tools (AI Agents, Webapps, etc.) and narratives that connect data to business outcomes. This role is crucial as GM’s vehicle portfolio evolves, demanding sharper insight and tighter alignment across the enterprise, helping to define how GM measures what matters and turning data into the connective tissue between strategy, capacity, and execution.

Requirements

Bachelor’s degree in Business, Data Science, Information Systems, Engineering, or related field.
5+ years of experience in business intelligence, analytics, or management reporting roles.
Experience with SQL, Python, Cloud Analytics tools (Databricks, AWS, etc) and development of AI driven solutions.
Demonstrated experience building dashboards and reporting using modern BI tools (e.g., Power BI, Tableau, Looker) and designing data pipelines.
Strong ability to connect metrics to business context — translating operational data into executive-level insights and recommendations.
Excellent communication, visualization, and data storytelling skills, especially for senior audiences.
Highly collaborative and influential across technical, product, and business stakeholders, with the ability to align diverse perspectives around shared metrics and insights.

Nice To Haves

MBA or advanced degree in a business or quantitative discipline.
Background in tech, product, or engineering environments with a focus on scaling data-driven decision frameworks.
Knowledge of Data Science and Machine learning principles.
Demonstrated ability to turn ambiguous business needs into structured, insightful reporting systems and dashboards.

Responsibilities

Contribute to the Program Intelligence & Reporting Strategy: Help shape the long-term vision, principles, and architecture for how management information, reporting, and dashboards support portfolio and capacity decision-making.
Build decision-grade data products: Design, prototype, and deliver dashboards and reports that serve as the single source of truth for program health, capacity, and delivery performance.
Own end-to-end analytics workflows: Translate business questions into metrics, data models, and visualizations that drive clear, actionable decisions.
Drive integration and automation: Partner with data engineering and IT to integrate data from Jira, Sharepoint, and enterprise systems — enabling seamless, near real-time visibility across the PMO.
Elevate how insights are communicated: Transform complex data into simple, compelling stories that drive alignment and action at the leadership level.
Advance a data-driven culture: Help teams move from reporting to true insight — clarifying what the data means, why it matters, and how to act on it.