Senior Program Intelligence Analyst

Job Description

Senior Program Intelligence Analyst

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to our Engineering Technical Center in Warren (MI) or Austin (TX) three times per week at minimum. This position can be located at either of these locations.

At General Motors our product teams are redefining mobility. Through a human-centered design process we create vehicles and experiences that are designed not just to be seen but to be felt. Were turning todays impossible into tomorrows standard from breakthrough hardware and battery systems to intuitive design intelligent software and next-generation safety and entertainment features.

Every day our products move millions of people as we aim to make driving safer smarter and more connected shaping the future of transportation on a global scale.

The Role

Were 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.

You 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. Youll 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.

Why This Role Matters

GMs vehicle portfolio is evolving faster than ever and demands sharper insight and tighter alignment across the enterprise. This role helps define how we measure what matters turning data into the connective tissue between strategy capacity and execution.

What Youll Do

• 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.

Your Skills & Abilities (Required Qualifications)

• Bachelors 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.

What Will Give You a Competitive Edge (Preferred Qualifications)

• 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.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

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