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.

Overall Purpose

The Data Product Manager for Data Science Platforms is a key role on our Analytics Data Platform team charged with developing the next generation of analytical technology for Early Warning Systems. This role will focus on our Data Science capabilities to improve both R&D and productionalization of predictive models.

The Data Product Manager collaborates closely with Analytics team members and other business stakeholders to translate enterprise-wide stakeholder needs into technical data, reporting and analytics requirements, and works across technology teams to facilitate the development of internal-facing data platforms, products or capabilities (including building basic reporting, diving into strategic analyses, or iterating on complex data science models).

Essential Functions

• Define and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools to enable prioritized use cases across the enterprise.
• Scope and prioritize activities based on 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.
• Gather 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.
• Enforce data quality standards and processes and ensure that data governance policies, data lineage and metadata management are integral components of data product development.
• Support the implementation, measurement, and activation of data-driven use cases.
• Support the integration of strong data governance, risk, and security controls.
• Support the company's commitment to risk management and protect the integrity and confidentiality of systems and data.

Minimum Qualifications

• Education and/or experience typically obtained through completion of a bachelor's degreein STEM or related field.
• 5+ 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.
• 3+ 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.
• Experience with change management and moving from on-prem to cloud.
• Hands-on experience with Python or R as a data scientist
• Understanding of data science tools and concepts and experience directly enabling data science teams or delivering data science use cases.
• Experience with: AWS, Salesforce, Google Analytics, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka.
• Deep understanding of best practices and unique data and analytics requirements across functional areas such Product, Marketing, Data Science, Finance, Operations.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.

The pay scale for this position in:

Phoenix, AZ and Chicago, IL in USD per year is: $115,000 - $135,000.

San Francisco, CA and New York, NY in USD per year is: $130,000 - $155,000.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Additionally, candidates are eligible for a discretionary bonus, and benefits.

Some of the Ways We Prioritize Your Health and Happiness

* Healthcare Coverage-Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

* 401(k) Retirement Plan-Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

* Paid Time Off -Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

* 12 weeks of Paid Parental Leave

* Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

AndSOmuch more! We continue to enhance our program, so be sure tofor the latest. Ourteamcan share more during the interview process!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Early Warning Services, LLC ("Early Warning") considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.