DICK'S Sporting Goods is looking to define the strategic vision for innovation and automation of end-to-end Data Science and Machine Learning capabilities, including translation of business needs into technical delivery across Data Science, ML Engineering, and ML Ops.
Requirements
- Define vision, goals and objectives for Data Science and Machine Learning portfolio, establishing jointly with business and technical and Data Science leaders, the outcomes related to Data Science models, production of those assets and incorporation across various groups (Athlete analytics, Data Science & ML, Data Engineering)
- Senior product leader in DS who delivers value around the overall output of various DS models that cross business domains including omni-channel marketing, media, enterprise supply chain, product and merchandising and other core business needs
- Designs, pilots and scales functionality in support of execution across various domains including DS model output to activating productional models in support of enhancing Athlete and Teammate experience while continuously innovating across enterprise teams
- Establishes orchestration alongside DS leaders to develop and scale operational DS models in service of enterprise needs, including advanced audience support for DICK’s media, enhancement of personalization and various requirements that raise Teammate output
- Develops and leads a DS and ML roadmap with release planning, technology and data platform enhancement informing establishing a backlog and dependencies while deploying agile best practices
- Ensure product delivery in accordance with targets and OKRs, including impact, costs, and timelines
- Inspires, develops and grow distinctive talent in data and ML engineering, analytics and AI across multiple teams
Responsibilities
- Define vision, goals and objectives for Data Science and Machine Learning portfolio, establishing jointly with business and technical and Data Science leaders, the outcomes related to Data Science models, production of those assets and incorporation across various groups (Athlete analytics, Data Science & ML, Data Engineering)
- Senior product leader in DS who delivers value around the overall output of various DS models that cross business domains including omni-channel marketing, media, enterprise supply chain, product and merchandising and other core business needs
- Designs, pilots and scales functionality in support of execution across various domains including DS model output to activating productional models in support of enhancing Athlete and Teammate experience while continuously innovating across enterprise teams
- Establishes orchestration alongside DS leaders to develop and scale operational DS models in service of enterprise needs, including advanced audience support for DICK’s media, enhancement of personalization and various requirements that raise Teammate output
- Develops and leads a DS and ML roadmap with release planning, technology and data platform enhancement informing establishing a backlog and dependencies while deploying agile best practices
- Ensure product delivery in accordance with targets and OKRs, including impact, costs, and timelines
- Inspires, develops and grow distinctive talent in data and ML engineering, analytics and AI across multiple teams
Other
- The DS&ML Group Product Manager orchestrates integrated DS and ML roadmaps and is responsible for execution of DS models in production pipelines.
- They have a deep understanding of the enterprise and work hand-in-hand as a strategic partner for leadership across Marketing, eCommerce, App, Media and Store teams.
- The DS&ML Group Product Manager is a coach, mentor and manages a team of DS Product Managers
- Build relationships and communicate with leadership teams & stakeholders (e.g., Marketing, E-comm, Media, Stores, Customer success) to ensure alignment of vision, goals
- Bachelor's Degree
- 10-15 years of experience, including 10 - 12 years of ecommerce or relevant experience, prefer product management or digital strategy with retail, mobile or enterprise commerce platforms.
- Cameras must be on during all virtual interviews.
- AI tools are not permitted to be used by the candidate during any part of the interview process.
- Offers are contingent upon a satisfactory background check which may include ID verification.
