Acquiring Data & Analytics Platform Product Manager - Payment - Vice President

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.

As a Product Manager in Data & Analytics Platform, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.

• Develop and plan required analytic projects in response to Merchant Services - Product Platform strategy and roadmap
• Focus on delivering actionable recommendations to merchants on how to optimize their payment performance (authorizations, charge backs, cost of payments)
• Work on cross LOB projects to provide insights on new product offerings that can maximize growth opportunities
• Deliver deep, actionable consumer insights that support merchant's growth agenda
• Develop visualizations of analytics insights in Tableau (for consumption of relevant stakeholders)
• Contribute to "productization" analytical insights in collaboration with cross-functional teams
• Develop new analytical modeling methods and/or tools as required
• Work with business domain experts and application developers to identify data relevant for analysis
• Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis
• Collaborate conjunction with data owners and department managers, contribute to the development of data models for analytics
• Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems
• Execute analytical projects as an individual contributor; Apply quality assurance best practices for analytics services; Adhere to change control and testing processes for modifications to analytical models

• 6+ years of working in large and medium project teams, as a contributing member in self-directed roles
• Bachelor's Degree in Business Analytics, Finance, Computer Science, Mathematics or related field of study; Advanced Degree
• Expertise in data mining, quantitative research techniques, theories, principles, and practices
• Experience in the payments industry and/or technology-enabled industries
• In-depth understanding of the payments value chain (merchants, brands, acquirers, networks, issuers) and associated data assets - or in-depth understanding of consumer insights
• Deep experience across the full range of database and business intelligence tools (especially SQL on Snowflake, Alteryx, Tableau); publishing and presenting information in an engaging way
• Ability for rapid prototyping in Tableau
• Data Science experience in R, Python
• Intensive, recent experience in assessing and sourcing data needs
• Strong familiarity and experience with data preparation and processing - such as assessment of data quality, new variable creation, variable selection, etc.
• Detailed orientation and a commitment to innovationent

• Demonstrated prior experience working in a highly matrixed, complex organization
• Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
• Ability to build trust-based relationships; Strong aptitude for technical concepts and ideas; Ability to work well within deadlines
• Executive presence and presentation skills
• Strong written and oral communication skills
• Understanding "deep data" environments, ideally with a Merchant mindset
• High achievement orientation with ability to lead and motivate others around results