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 https://www.marsunited.com/.

Overview 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 from one of these Mars locations for a hybrid work schedule: Detroit, Chicago, Toronto, New York, Dallas, Bentonville or Denver.

Core Responsibilities

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.

Leadership & Team Management

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.

Duties & Responsibilities

Lead and manage a multidisciplinary team of Analysts, Data Scientists and Engineers to innovate in measurement, reporting, scorecarding, 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.

Skills & Experience

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, including Spark‑based workflows, and MLflow for experiment tracking, model management, and deployment.

Deep experience with industry sales data from Circana, Nielsen, Numerator, and others.

Deep experience in working with retailer‑based sales reporting platforms such as Scintilla, 8541, CVS Extracare, and others

Expert level proficiency in SQL and Python, with hands‑on experience building scalable data pipelines, analytics workflows, and advanced analytical models.

Ability to translate technical concepts to non‑technical audiences, as well as to distill business needs to be clearly defined and technically‑soluble.

High comfort level presenting to clients and large groups.

A self‑starter with ability to thrive in an ambiguous, fast‑paced, results‑oriented environment.

Ability and track record of cultivating strong relationships both internally and externally.

Critical thinker with the ability to make decisions by considering the needs, capabilities, and impact across multiple business units and clients.

Additional information The Power of One starts with our people! To do powerful things, we offer powerful resources.

Mars United℠ Commerce is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

Compensation Range: $150,000‑$250,000 CAD annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. The Company anticipates the application deadline for this job posting will be May 31, 2026.

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