Sr. Data Product Manager

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose 
The Sr. Data Product Manager is a key role within the Data & Analytics team either reporting to the CDO or assigned business unit charged with transforming Early Warning’s data management and data contribution capabilities. This role will dive deeply into customer pain points, technology and security constraints, and market trends to develop a vision and requirements to scale second- and third-party data focusing on quality, usability, and risk management. They will translate stakeholder (internal/external) needs into technical data, reporting and analytics requirements, and partner across technology teams to facilitate the development of data products and capabilities. 

Essential Functions: 

• Articulate vision, roadmap and technical requirements for data and analytics capabilities, processes and tools to enable prioritized use cases across the enterprise or business unit   

• Develop and maintain the data product roadmap; scopes and prioritizes activities based on the CDO, business, and user impact which defines product enhancements for both short-term and long-term.   

• Gain a deep understanding of end-user needs and experience (internal data consumers), identify and fill product gaps and generate new ideas that grow adoption and improve user experience 

• Define requirements for the Data Technology team on data processing and storage to facilitate a variety of analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection 

• Set and achieve success metrics to meaningfully improve business results, focusing on what success looks like for our internal data consumers and how accessible data and insights could help them deliver enterprise value 

• Act as a product evangelist to build awareness, understanding, adoption, and buy-in 

• Support the company’s commitment to risk management and protect the integrity and confidentiality of systems and data. Oversee the integration of strong data governance, risk and security controls.   

Minimum Qualifications 

• Education and/or experience typically obtained through completion of a bachelor’s degree in STEM or related field 

• 9+ years' experience or related experience in product management, data management, or consulting with a proven record of high performance, preferably with experience building data and analytics products 

• 5+ years' experience with direct hands-on responsibility working with data or data teams (data engineers, data scientists, software developers, data analysts, etc.), business stakeholders and end-users 

• Strong business intuition and the technical ability to understand, design, and explain complex product and data strategies to both business and technical audiences 

• Proficiency with software development methodologies such as Agile and experience working with Scrum teams and working with Agile tools such as Jira 

• Strong project and stakeholder management with the ability to work effectively with cross functional teams with diverse skill sets across all levels of the organization 

• Excellent communications skills, both oral and written 

• Hands-on experience writing and tuning SQL 

• Comfort with product analytics and data visualization tools (e.g. Tableau and Mixpanel)  

• Background and drug screen 

 Preferred Qualifications 

• Master’s degree in STEM or related field 

• Deep understanding of foundational data and analytics concepts 

• Proven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products 

• Strong understanding of data management requirements in a regulated industry 

• Experience working with terabyte size datasets