Responsibilities

• Continuously build a roadmap of highest-impact analytical product areas with a focus on value-generation for our Marketing function.
• Understand current state process, pain points, user personas, and existing tooling to synthesize many different viewpoints of the problem that each analytical product addresses into a clearly defined vision.
• Architect the backlog of Epics that iteratively address the problem using the agile framework.
• Prioritize Epics into Product releases and advocate for resourcing to achieve analytical product goals.
• Oversee a squad of technical resources (including data engineers, data scientists, contractors and/or vendors) that will be deployed to the Product through release execution.
• Evaluate solution’s ability to solve the problem through adoption and other value creation indicators.

Requirements

• Education: Bachelor’s degree in Data Science, Statistics, Marketing Analytics, Business, Computer Science, or a related quantitative field. A Master’s degree is preferred.
• Core Experience: 7+ years of progressive experience in data & analytics, with a focus on marketing analytics and media mix modeling within a complex, multi-channel environment.
• MMM Expertise: Strong background in Marketing product delivery for Data & Analytics with a particular focus on Marketing Mix Management. Expertise in the theory and application of modern Marketing Mix Modeling (MMM), including an understanding of its evolution from traditional time-series methods to contemporary causal and AI-based approaches (e.g., Bayesian methods, hierarchical models, agent-based models).
• Stakeholder Leadership: Track record of customer-facing success and business acumen in working with teams to identify problems to solve, ideating on the art of the possible, and bringing possibilities to life.
• Business-to-Science Translation: Strength in business-to-science translation to enable partnering with business teams and technology teams in bringing analytics product ideas to life.
• Analytics Foundation: Strong analytics foundation, with experience in areas such as causal inference, advanced statistical modeling, and machine learning as they apply to marketing effectiveness.
• Delivery Management: Experience in delivery management of analytical products, or awareness of the drivers of complexity within delivery.

Preferred

• Master’s degree preferred.

Benefits

• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry competitive salary and benefits package, including company bonus.