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Senior Product Data Manager, AI/ML Pricing Strategy

Framingham, Massachusetts, États-Unis

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Senior Product Data Manager, AI/ML Pricing Strategy

Framingham, Massachusetts, États-Unis

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Remote/On-site On-site Numéro de l’emploi 41873 Type d’emploi Technology, E-Commerce & Data Science Date d’affichage 05/16/2025

Senior Product Data Manager, AI/ML Pricing Strategy

Staples is business to business. You’re what binds us together. 

Our digital solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners and deliver reliable, customer-centric technology services.

Lead transformative AI/ML-driven pricing strategies and revenue optimization as Senior Product Data Manager, AI/ML Pricing Strategy within Staples Enterprise Data and AI group. In this pivotal role, you'll harness cutting-edge data solutions to shape business success, enhance pricing models, and drive measurable impact across the organization. By leveraging analytics and AI-powered insights, you'll enable dynamic decision-making, maximize profitability, and advance a data-driven culture that fosters innovation and growth.

What you’ll be doing:

  • Develop and communicate a clear vision and strategic roadmap for leveraging AI/ML-driven pricing models to enhance business success and profitability.
  • Lead initiatives to transform the organization into a data-driven culture, promoting AI-powered decision-making and pricing strategies across all levels.
  • Oversee the delivery of internal analytical products, including AI-enhanced dynamic pricing models, self-service analytics, and ad-hoc reporting tools to support data-driven revenue optimization.
  • Develop strategies to optimize customer data through AI-powered segmentation, creating a seamless omnichannel customer experience while maximizing pricing effectiveness.
  • Engage with executives and cross-functional teams to align AI/ML pricing strategies with broader business growth objectives.
  • Stay current with industry trends and implement new AI/ML-driven pricing optimization technologies, including Generative AI, predictive analytics, and real-time pricing adjustments.
  • Spend time with customers to identify patterns and trends, driving the design and development of innovative AI-powered pricing models and data products.
  • Assist with sprint planning and backlog management to align AI/ML pricing insights with business objectives.
  • Act as the primary link between business stakeholders and technical teams, ensuring clear communication and project alignment on AI/ML-driven pricing strategies.

What you bring to the table:

  • Solid understanding and experience of data functions and business operations in the following areas: AI/ML-powered pricing optimization, Data Engineering, Data Analytics & Insights, Application and deployment of AI/ML products, Operational Excellence, Performance Metrics & KPI’s, Stakeholder Collaboration & Communication.
  • Proven experience in a leadership role focused on data strategy, AI, ML, and dynamic pricing models.
  • Hands-on experience in developing and leading data science organizations focused on AI-driven pricing and profitability strategies.
  • In-depth knowledge of AI-enhanced pricing frameworks, data governance, and analytics methodologies.
  • Proficiency in SQL, machine learning-driven data exploration, and BI Tools (e.g., Power BI) for pricing analytics and revenue forecasting.
  • Demonstrated ability to lead and inspire high-performing teams in AI-driven product pricing strategy.
  • Exceptional strategic planning and communication skills with a focus on leveraging AI/ML to drive pricing efficiency and competitive advantage.

What’s needed—Basic Qualifications:

  • Bachelor’s Degree or equivalent work experience in Data Science, Machine Learning, AI, Computer Science, Business Analytics, or a related field.
  • 10+ years in leading data & analytics, machine learning, and AI initiatives, with a track record of successful project delivery.

What’s needed—Preferred Qualifications:

  • Previous retail and AI-enhanced eCommerce industry experience is a plus.

We Offer: 

  • Inclusive culture with associate-led Business Resource Groups
  • Flexible PTO (22 days) and Holiday Schedule
  • Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

#LI-AF1

Chez Staples, « inclusion » est un mot d'action. Il représente ce que nous faisons pour garantir que tous les employés se sentent valorisés et soutenus afin de contribuer à leur plein potentiel. Lorsque nous opérons de manière inclusive, la diversité suit naturellement. C'est pourquoi nous travaillons dur pour favoriser une culture inclusive, car nous recherchons des employés ayant des perspectives uniques et variées et des domaines d'expertise divers. Le résultat est un meilleur environnement de travail et une réflexion innovante qui nous aide à dépasser les attentes de nos clients – grâce à la force des personnes derrière notre marque emblématique.

Staples est un employeur garantissant l'égalité des chances. Tous les candidats qualifiés seront pris en considération pour un emploi sans distinction de race, couleur, religion, âge, sexe, orientation sexuelle, identité de genre, origine nationale, statut de vétéran protégé, handicap ou toute autre base protégée par la loi fédérale, étatique ou locale.

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