We made history and now we work to transform the future – for our customers, our communities and our families. Youll see your work on the road every day, helping people move freely and pursue their
Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to either Warren, MI or Milford, MI three times per week, at minimum. The Role GM Defense is
Job Description The Performance Marketing Strategy & Business Intelligence team serves as a group of “data detectives” for GM Marketing. The team combines complex, disparate business, marketing, media, website, audience, funnel, inventory, pricing, incentive, demand, competitive,
Job Description GM is undergoing a massive transformation to continue its automotive leadership with industry‑leading products, strong brands, and a commitment to innovation, quality, and safety. As we continue to evolve and expand our market presence,
We are seeking a RAR Catalog Governance & Validation Lead to join the Integrated Services Business Office. In this critical role, you will bridge the gap between business and technical system configurations. You will work with
DTE is one of the nation’s largest diversified energy companies. Our electric and gas companies have fueled our customer’s homes and Michigan’s progress for more than a century. And as Michigan’s largest source of renewable energy,
We are seeking a highly skilled Senior Workday Security Analyst (can be REMOTE) to support, maintain, and enhance our enterprise Workday ecosystem. This role will be responsible for supporting both Human Resources (HCM) and Finance business
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side