Strategic Product Manager

Job Overview

As a Product Manager for Measurement Data Science products, you will lead strategic initiatives from creation to execution. Your focus will be on managing the product development life-cycle of the Multi-Touch Attribution framework that uses customer touch points and enables accurate attribution of new product acquisition and cross-sell events. You will also guide the development of other strategic data science/ML products like Marketing Mix Models and Enterprise Value Measurement Models.

You will have multiple teams as your core customers (Global Marketing, Finance & Strategy, Product, Product Marketing, Sales, Account Management). You will collaborate with an accomplished Data Science team and an experienced Machine Learning Engineering Manager to ensure remarkable experience and accuracy to internal teams and help foundational planning and investment decisions. To succeed, you will need strategic thinking, methodical execution, and superb stakeholder management in addition to expertise in Marketing Attribution, Digital Marketing, and Data Science. If you are looking for the opportunity to make foundational impact on go-to-market strategy and develop strategic data science products, this role will be compelling and rewarding.

Key Responsibilities
• Set the vision, roadmap, and direction for Data Science products in collaboration with Global Marketing and teams
• Lead project planning, scoping, prioritization, and requirements gathering to achieve goals
• Determine features, write product specs, refine feedback, manage backlogs, and ship quickly
• Represent the team with cross-functional partners and senior company leaders to align resources and prioritization
• Drive accuracy of Data Science products leading to enterprise-wide adoption
• Educate others on Data Science products and capabilities
• Foster an environment that enables the Data Science team to execute quickly while maintaining high standards for quality

Qualifications
• Bachelor's Degree in a technical discipline or equivalent work experience
• Experience as a Product Manager
• Deep knowledge of Multi-Touch Attribution and Marketing Mix Models
• 3+ Years of experience building Data Science Products
• Experience with Marketing Analytics and Data Science approaches
• Experience with Go-to-market capabilities and channels for reaching out to customers
• Understanding of industry trends in digital marketing and increased data regulation and privacy laws
• Knowledge of data infrastructure and processes
• Knowledge of experimentation and incrementality measurement
• Navigated difficult situations with competing stakeholder needs and across multiple audiences (individual contributors, managers, executives)
• Deep understanding of customer empathy and experience shaping product direction and execution based on customer needs
Even better:
• Background in FinTech or financial services B2B
• Experience building Machine Learning Model-based Multi-Touch Attribution
• Deep knowledge of Enterprise Value Measurement models (LTV).
• Understanding of modern data science and machine learning approaches.

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