[Remote] Staff Program Intelligence Analyst

Note: The job is a remote job and is open to candidates in USA. General Motors is redefining mobility through human-centered vehicles, intelligent software, advanced hardware, and next-generation safety and entertainment features. The Staff Program Intelligence Analyst will define and advance Program Intelligence, analytics, and AI strategy across the Program Management organization, delivering governed data products, dashboards, AI solutions, and executive insights. The role will also establish metrics and data governance, influence senior leadership decisions, and drive adoption of intelligence capabilities.

Responsibilities

• Set the Program Intelligence & Reporting Strategy: Define and evolve the long-term vision, principles, operating model, and architecture for management information, reporting, analytics, and dashboards that support portfolio, capacity, and delivery decision-making
• Lead portfolio-scale data products: Direct the design and delivery of trusted, decision-grade dashboards, AI Agents, web applications, and reports that establish a durable source of truth for program health, capacity, and delivery performance
• Establish metrics and data governance: Create common definitions, measurement frameworks, data quality expectations, and governance practices that improve consistency, comparability, and confidence in enterprise decisions
• Architect analytics and AI solutions: Translate ambiguous, high-impact business needs into scalable data models, analytical products, AI-driven solutions, and reusable technical patterns in partnership with data engineering, IT, and product teams
• Influence executive decisions: Synthesize complex data and competing perspectives into clear narratives, recommendations, and decision frameworks that drive alignment and action at the senior leadership level
• Drive adoption and measurable value: Champion the use of Program Intelligence capabilities, assess adoption and business impact, and continuously improve products and practices based on customer feedback and evolving portfolio needs

Skills

• * Bachelor's degree in Business, Data Science, Information Systems, Engineering, or a related field
• * 5+ years of progressive experience in business intelligence, analytics, data products, management reporting, or a related discipline, including experience leading complex, enterprise-level initiatives
• * Advanced experience with SQL, Python, cloud analytics platforms (e.g., Databricks, AWS), and the development or application of AI-driven solutions in an enterprise environment
• * Demonstrated success defining strategy and delivering scalable dashboards, reporting products, data pipelines, analytics platforms, or AI-enabled experiences using modern tools such as Power BI, Tableau, Looker, Databricks, or equivalent technologies
• * Proven ability to connect metrics to business strategy and portfolio outcomes, translating operational data into executive-level insights, recommendations, and decision frameworks
• * Exceptional communication, visualization, facilitation, and data storytelling skills, with the ability to influence senior audiences and align stakeholders around complex decisions
• * Recognized as a trusted advisor and thought leader who collaborates and influences across technical, product, and business stakeholders, aligns diverse perspectives around shared metrics and insights, and delivers results without direct authority

Hybrid or Remote:

This role is categorized as hybrid for those within commutable distance. 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 otherwise open to virtual

• 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)
• * MBA or advanced degree in business, data science, computer science, engineering, or another quantitative discipline
• * Background in large-scale technology, product, engineering, or enterprise transformation environments, with experience scaling data-driven decision frameworks and operating models
• * Deep knowledge of data science, machine learning, generative AI, responsible AI, and the practical application of these capabilities to enterprise decision-making
• * Demonstrated ability to turn ambiguous, enterprise-wide business needs into structured intelligence strategies, governed metrics, scalable reporting systems, and insight-driven products with measurable adoption and impact

Benefits

• An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Medical benefits
• Dental benefits
• Vision benefits
• Health Savings Account
• Flexible Spending Accounts
• Retirement savings plan
• Sickness and accident benefits
• Life insurance
• Paid vacation & holidays
• Tuition assistance programs
• Employee assistance program
• GM vehicle discounts
• Hybrid or remote work arrangement: hybrid for those within commutable distance, with reporting to the Engineering Technical Center in Warren (MI) or Austin (TX) three times per week at minimum; otherwise open to virtual.
• Upon successful completion of a motor vehicle report review, eligibility to participate in a company vehicle evaluation program, through which the participant will be assigned a General Motors vehicle to drive and evaluate. Program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Company Overview

• General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is https://www.gm.com.