Vice President, Analytics

Company description

Mars United  Commerce is a global commerce marketing practice that aligns people, technology, and intelligence to make the business of our clients better today than it was yesterday. Our worldwide capabilities coalesce into four key disciplines — Strategy & Analytics, Content & Experiences, Digital Commerce, and Retail Consultancy — that individually deliver unmatched results for clients and collectively give them an unparalleled network of seamlessly integrated functions across the entire commerce marketing ecosystem.

These disciplines are powered by our industry-leading technology platform, Marilyn®, which helps marketers understand the total business impact of their commerce marketing activation, enabling them to make better decisions, create connected experiences, and drive stronger, measurable results. Learn more at

We are seeking a VP, Analytics.

This role provides leadership to the Analytics function at Mars United Commerce, across Business Analytics, Media Analytics, Analytics Engineering, and Data Science, partnering Strategic Planning, and other cross-functional teams.

Candidates must reside within a commutable distance to our New York or Chicago office for a hybrid work schedule.

• Ensure team delivery of all client requirements, ensure team meets assigned goals, and drive innovation in the analytics arena, drive continued improvements in the team’s storytelling capabilities.
• Ensure the continued elevation of Business Analytics and Media Analytics with our teams and clients, ensuring we are delivering strong analytical work and insight-driven storytelling.

• Establish a culture of excellence and quality output.
• Lead by example and foster an environment of subject matter expertise, collaboration, and teamwork.
• Embrace Mars United’s entrepreneurial vision and commitment to a positive work environment.
• Mentor direct reports and act as a leader within the organization.
• Partner with other leaders in the team to develop all facets of our analytic capabilities.

• Lead and manage a multidisciplinary team of Analysts, Data Scientists and Engineers to innovate in measurement, reporting, score carding, and dashboarding solutions.
• Lead the elevation of the storytelling and insight capability of the team to ensure the team delivers strong narratives and decision support to clients.
• Oversee the execution of data analysis projects, ensuring timely and accurate delivery of insights.
• Develop and lead high‑stakes client presentations.
• Lead efforts to derive deeper customer insights and market intelligence from data, providing strategic guidance to enhance customer experience, product development, and personalized marketing strategies.
• Lead closed-loop measurement and clean room analytics initiatives, including retailer and platform environments, ensuring privacy‑safe activation, measurement, and insight generation.
• Uphold and implement the strategic vision for the analytics function.
• Collaborate with senior cross‑functional leaders to identify areas of opportunity for Analytics growth within clients and new business prospects.
• Support new business RFP and pitching efforts, as required.
• Prior experience managing and mentoring a team, with a proven track record of leadership and employee development.
• Show up - be accountable, take responsibility, and help others get back up when they are down.
• Make stuff.

• Master’s Degree in Computer Science, and/or 10+ years related work experience, particularly in a Retailer and/or Marketing setting
• Experience working within a global agency holdco environment, with a strong understanding of operating models, cross-agency collaboration, and client governance structures, is a plus.
• Exhibit a dynamic personality to effectively engage and influence senior stakeholders.
• Commerce and retail media experience preferred, including familiarity with retailer measurement systems, retail media networks, closed‑loop measurement, and the integration of media, sales, and shopper data across commerce ecosystems.
• Experience with Databricks for large‑scale data processing and analytics,…