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Senior Product Manager, Commercial Analytics (SIPO)

Data & Analytics
00520800 Requisition #

Data fuels Nike’s digital transformation. The Commercial Analytics organization is at the forefront of that transformation, delivering data-driven innovation and insights to support critical Nike initiatives. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and evolve the business to serve consumers more directly and personally. We are innovative, diverse, multidisciplinary and collaborative, taking analytics into the future and bringing the world with it.

We need an experienced Senior Product Manager to join this team! We're looking for candidates with a technical background who have experience as a Product Manager with analytics, insight and reporting based products. Candidates should enjoy crafting and selling a vision, gathering requirements from business process owners and customers, creating and managing a roadmap, and working with the analytics and engineering team to break down and prioritize the work. We're looking for someone with a proven track record demonstrating measurable business impact/metrics, who can understand and influence technology decisions, and someone who can thrive in ambiguous situations while being a true teammate. We value a culture that is synergetic, academic, intellectually curious, fun, open, and diverse!

You will drive the strategy, roadmap, and priorities supporting our business partners in Supply and Inventory Planning (S&IP), helping drive initial analytics solutions support supply plan-integrated multi-node fulfillment, multi echelon inventory planning, performance management metric, and other business priorities. You will gather requirements from multi-functional partners within Nike. You will define and prioritize stories that allow us to build world-class solutions. You will work closely with analytics, engineering, data foundation teams to deliver on program and sprint objectives and commitments. You will build assets that sell the vision, enable others, and build excitement.

You will work within the Commercial Analytics team as a leader for Supply and Multi Node Inventory Optimization (S&MN) squad, as well as collaborate across the broader organization including working closely with Demand & Supply Management (DSM) Product Management, Advanced Analytics / Machine Learning and Supply & Inventory Planning (S&IP) business partnersto deliver solutions that solve critical business problems as Nike accelerates its Consumer Direct and Supply Chain of the Future strategies.

Bachelor’s degree (B.S.) in supply chain management, operations research, industrial engineering, data science, computer science, mathematics, statistics, economics, engineering or related field.

4+ year of experience in data product management, or leading reporting and analytics solutions

Practical knowledge and experience in supply chain management, supply planning, demand forecasting, inventory management, logistics or related field.

Comprehensive understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and XP Programming, and how they’re applied in workplace culture

Demonstrated experience in leading teams of data analysts, engineers, and scrum masters in the delivery of data analytic products.

Relevant experience in data warehousing, dimensional modeling and the ability to bring standard methodologies with regard to data management, ETL, API integrations, and data governance

Demonstrable ability to respond to and prioritize changing business demands effectively

Experience using interpersonal, presentation, and communication skills in communicating progress on near term and mid-term plans to users and partners

Expertise in design and implementation standard methodologies in data visualization tools such as Tableau, IBM Cognos, MicroStrategy, PowerBI or QlikView

Solid understanding of various database management systems like Oracle, MySQL, Teradata, Netezza, SQL Server, or DB2, as well as proficiency in working with large data sets.

Experience with cloud environments such as Microsoft Azure, Google Cloud, and AWS. Experience with Big Data and NoSQL technologies like Hadoop, HBase, Spark, Impala, Cassandra, Storm, Flume, Pig, or Hive.

In-depth knowledge of the relationship between business process and data products.

Demonstrated complex critical thinking and ability to creatively solve problems with measurable business impact

Experience addressing current and future customer needs through innovative solutions

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