Sr. Director Data Sciences

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 Summary

The Sr Director of Data Sciences is responsible for building and developing a high performing team while supporting product delivery with insights and innovation. 

Essential Functions

• Lead, grow and inspire a team of skilled analysts and data scientists ensuring they are successfully executing projects with the highest business impact

• Lead the design, development, deployment, and maintenance of analytically derived models

• Provide thought leadership internally within the enterprise and externally with financial institutions, partners, and industry associations by assessing industry trends and analytic technologies.

• Drive collaboration and exercise influence cross-functionally across analytics teams, product management, engineering, and technology organizations to deliver high-quality products and capabilities

• Lead budgeting and planning for team and resources as required

• Present clear and actionable insights to stakeholders across varying levels, areas of expertise, and degrees of technical knowledge

• Establish and maintain industry standard best practices and processes through all phases of the analytic development life cycle

• Oversee documentation of analytic solutions, standard analytical procedures, and methodologies

• Develop and present recommendations and POV on analytic environments and data strategy

• Protect the integrity and confidentiality of systems and data

• Convey responsiveness and competence when dealing with internal and external stakeholders

• Partner with various functional areas to develop an understanding of fields to which statistical techniques can be applied effectively

• Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data

Minimum Qualifications

• Bachelor’s Degree in Mathematics, Statistics, Computer Science, or related field

• 15 or more years data analytics experience (or equivalent combination of education and experience)

• 10 or more years efficient programming enabling manipulation and analysis of large data sets ideally with SQL, Python, R, or Scala

• 10 or more years of professional experience, including the development of large-scale analytic solutions, leading high-performing analytics, or data science project teams

• Demonstrated leadership experience and cross functional collaboration experience

• Excellent interpersonal, oral, and written communication skills.

• Excellent listening and execution skills

• Background and drug screen

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/Chicago, IL in USD per year is: $220,000 - $240,000

New York, NY in USD per year is: $240,000 - $270,000

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 decisi