VP Marketing & Analytics

Role Summary

The Marketing organization at Staples plays a critical role in driving growth across our B2B, retail, and services businesses. As Staples continues to evolve into a leading workplace solutions platform, our team leverages data, insights, and innovation to create exceptional customer experiences, optimize marketing performance, and support strategic business decisions. We partner closely with leaders across marketing, product, engineering, merchandising, and operations to unlock growth opportunities and deliver measurable business impact.

What you’ll be doing

• Build and lead the customer and marketing analytics and data science function across Retail and Staples Inc.
• Develop a unified strategy that ensures data is reliable, accessible, and actionable across the organization.
• Partner with engineering and technology teams to enhance data infrastructure, pipelines, and reporting capabilities.
• Build and scale data science capabilities including marketing measurement and attribution, UX/creative/offer testing, incrementality, causal inference, lead scoring, personalization, and more.
• Establish scalable reporting frameworks that provide real-time visibility into marketing performance and business outcomes.
• Transform reporting from simple metrics delivery into actionable business insights and strategic decision making and recommendations.
• Lead advanced analytics initiatives, including hypothesis-driven analyses that uncover growth opportunities and performance drivers.
• Collaborate cross-functionally with product, engineering, sales, and business leaders to embed analytics into decision-making processes.
• Translate complex data findings into compelling narratives and executive-level recommendations.
• Develop and execute an analytics roadmap that supports business priorities and long-term growth objectives.
• Drive continuous improvement in marketing ROI, customer engagement, and overall business performance.
• Serve as a trusted advisor and thought partner to senior leadership on customer, marketing, and growth strategies.

What you bring to the table

• Intellectual curiosity, and passion for solving complex business challenges through data, continuous improvement mindset, and winning attitude.
• Proven experience leading analytics and/or data science functions within complex, data-rich organizations.
• Demonstrated success building, scaling, or transforming analytics and data science teams and capabilities.
• Strong knowledge of modern data ecosystems and how data supports marketing strategy and customer growth.
• Proven ability to translate complex data into clear, actionable insights that influence business strategy and results.
• Experience partnering effectively with engineering, product, marketing, and business stakeholders.
• Familiarity with digital technology platforms and customer data environments.
• Experience operating in digitally native or digitally transformed organizations.
• Exceptional communication and executive presentation skills with the ability to engage both technical and non-technical audiences.
• Collaborative leadership style with a low-ego, team-oriented approach.
• Able to balance strategic thinking with operational execution in a fast-paced environment.

Basic Qualifications

• Bachelor’s degree in analytical or technical field.
• 15+ years of progressive experience in analytics, data science, or related disciplines.
• Experience leading analytics transformations and modernizing data science capabilities.
• Demonstrated success leveraging data and analytics to improve business outcomes.
• Exceptional communication, stakeholder management, and executive presentation skills.

Preferred Qualifications

• Advanced degree (MBA, MS, PhD, or equivalent) in a relevant discipline.
• Experience supporting both B2B and B2C business models.
• Experience within retail, eCommerce, distribution, marketplace, or multi-channel businesses.
• Background in organizations that combine digital and physical customer journeys.
• Experience with customer segmentation, attribution, personalization, and marketing optimization models.
• Familiarity with AI-enabled marketing analytics and advanced customer intelligence solutions.
• Passion for building high-performing teams and fostering a data-driven culture.