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.

What you’ll be doing:

• Develop and communicate a clear vision and strategic roadmap for leveraging data to drive business success.
• Lead initiatives to transform the organization into a data-driven culture, promoting data literacy and adoption across all levels.
• Oversee the delivery of internal analytical products, including self-service and ad-hoc analytics, to support data-driven decision-making.
• Develop strategies to optimize the use of customer data, creating a seamless omnichannel customer experience and driving sales and revenue growth.
• Engage with executives and cross-functional teams to understand and align with their data needs and strategic goals.
• Stay current with industry trends and implement new technologies, including AI, ML, and Generative AI, to enhance data capabilities.
• Spend time with customers to identify patterns and trends, driving the design and development of innovative data products.
• Assist with sprint planning and backlog management to align with business objectives.
• Act as the primary link between business stakeholders and technical teams, ensuring clear communication and project alignment.

What you bring to the table:

• Solid understanding and experience of data functions and business operations in the following areas: 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, and ML practices.
• Hands on experience in developing and leading data and data science organizations across multiple business domains such as Marketing, Sales, Customer Experience.
• In-depth knowledge of data governance, analytics frameworks, and emerging technologies.
• Proficiency in SQL, data exploration and BI Tools (e.g. Power BI).
• Demonstrated ability to lead and inspire high-performing teams.
• Exceptional strategic planning and communication skills.

What’s needed- Basic Qualifications:

• Bachelor’s Degree or equivalent work experience in Data Science, Computer Science, Business Analytics, or 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 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!

At Staples, “inclusion” is an action word. It represents what we do to ensure that all employees feel valued and supported to contribute to their fullest potential. When we operate inclusively, diversity naturally follows. This is why we work hard to foster an inclusive culture, as we seek employees with unique and varied perspectives and areas of expertise. The result is a better workplace and innovative thinking that helps us exceed our customers’ expectations -- through the power of the people behind our iconic brand.

Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.