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Sr Product Manager, Enterprise Data & Analytics
Neiman Marcus Group Inc | |
United States, Texas, Irving | |
July 31, 2022 | |
NEIMAN MARCUS GROUP Neiman Marcus Group (NMG) has been the premier destination for luxury fashion and goods, superior service, and an elevated retail experience for more than a century. Today, 9,000 associates contribute to the success of NMG's brands: Neiman Marcus, Bergdorf Goodman, Last Call, and Horchow. There are 38 full-line Neiman Marcus stores in cosmopolitan markets across the United States and a sophisticated digital platform that attracts shoppers worldwide. Bergdorf Goodman operates two stores in landmark locations on Fifth Avenue in New York City and BergdorfGoodman.com, catering to loyal luxury customers globally. NMG also owns five Last Call stores and Horchow.com, an e-commerce site that offers premium furniture and home decor. As an organization, NMG is on a transformational journey to become the preeminent luxury customer platform. NMG continues to deliver the best integrated customer experience and has evolved the business to succeed in the ever-changing retail landscape. NMG is a relationship business. What differentiates the organization from other luxury retailers are its unique assets: a strong store footprint, the most knowledgeable associates, an engaging online experience, solid brand partnerships, innovative digital and in-store experiences, the most loyal luxury customer base, and a strong balance sheet. Job Summary: The Neiman Marcus Product Management Team is looking for a skilled Senior Product Manager, Enterprise Data & Analytics who is passionate about building Data products and lives, breathes data. The position will collaborate with business partners, subject matter experts, data scientist and product team partners to understand their goals and objectives, who can then establish product roadmap, features & stories ensuring delivery of features and functionality for Data products. You will be responsible for providing analytical solutions to Digital Marketing, Merchandising, Data Science, Supply Chain, eCommerce, Finance and Store teams. You will be successful by building the right data tools and capabilities to empower internal teams to effectively collect and analyze data to measure success. This position is for someone who has previously or currently is working heavily with data who would like to transition to a more business-related role and act as a liaison between the Data Engineering team and Business Stakeholders. ***Position eligible to be remote from select city and states. Corporate office based in Dallas, TX*** Duties & Responsibilities:
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