Senior Data & Analytics Product Manager - North America
Mars · Creve Coeur, MO · 5 days ago
MarketingFull-time
Key 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.
Qualifications
- 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.
Benefits
The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.
The pay range shown is applicable to all US locations listed within the job posting:USD 134,400.00 - USD 184,800.00