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 isresponsible 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 ofanalytic 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.

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.

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

The pay scale for this position in:

Phoenix, AZ in USD per year is: $220,000 - $240,000

San Francisco, CA and New York, NY in USD per year is: $250,000 - $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 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 tocheck our Benefits page here for 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.