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 Senior Director, Analytics leads a high-performance team of analysts that is focused on generating actionable insights to drive long-term growth through product strategy, optimizing user experience, managing fraud and informing key business decisions.
Essential Functions:
Leads the development and execution of the business and fraud analytics strategy in alignment with company goals and product roadmaps.
Partners closely with product, engineering, design, and executive leadership to define key metrics and ensure data informs decisions at all stages.
Supports resource allocation, business case building and prioritization of new initiatives leveraging a wide variety of internal data sources and market intelligence.
Develops tailored A/B testing frameworks and experimentation strategies that inform product decisions from initial concept through launch, enabling data backed iteration and optimization across the product lifecycle. Guides the development and maintenance of scalable data models, dashboards, and reporting tools that enable self-service analytics and real-time decision-making.
Translates complex data into compelling stories and insights that drive action for stakeholders from multiple functions and across all parts of product lifecycle.
Fosters a culture of hypothesis testing and data-driven thinking across the organization and promote best practices in experimentation, metric design, and user behavior analysis.
Ensures data integrity, governance, and privacy standards are upheld in all analytics work.
Identifies opportunities for automation and process improvement in analytics workflows.
Stays current with analytics tools, industry trends, and emerging technologies that could enhance the organization’s analytical capabilities.
Minimum Qualifications
Education and/or experience typically obtained through completion of a bachelor's degree in business Analytics, Management, Marketing or related fields.
A minimum of 15 years of experience in product or fraud analytics, data science, or business intelligence.
5 years' experience in leadership.
Strong written / verbal communication – able to clearly present to Functional Business Leads, Internal Leadership and External Stakeholders.
Demonstrated ability to communicate across all levels of the organization is necessary; must be able to clearly articulate technical ideas to a non-technical audience both verbally and in writing.
Ability to identify complex problems, review information to develop and evaluate options then implement solutions is essential.
Ability to multi-task and adapt to rapid change, manage multiple projects and/or changing priorities to meet various deadlines simultaneously is required.
Demonstrated success or ability to retain highly engaged, high performing teams.
Background and drug screen.
Preferred Qualifications
Understanding of the ecommerce, fraud, and digital payments landscape.
Demonstrated Leadership and initiative regarding process redesign and / or analytics transformation.
Master’s degree in Business Administration, Analytics, or related field.
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 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.
#LI-AV
#Dice
The base pay scale for this position in:
Phoenix, AZ/ Chicago, IL in USD per year is: $188,000 - $235,000.
New York, NY/ San Francisco, CA in USD per year is: $226,000 - $282,000.
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
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.
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 – Flexible 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.
And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!
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.
Early Warning Services LLC is a proud participant in E-Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify. For more information on your rights and responsibilities under E-Verify please visit Home | E-Verify.
Skills Required
- Authorized to work in the United States at date of hire (no visa sponsorship)
- Bachelor's degree in Business Analytics, Management, Marketing, or related field (education and/or equivalent experience)
- Minimum 15 years experience in product or fraud analytics, data science, or business intelligence
- Minimum 5 years of leadership/people management experience
- Strong written and verbal communication; able to present to business leads, leadership, and external stakeholders
- Ability to translate complex data into actionable insights and communicate technical ideas to non-technical audiences
- Experience designing and implementing A/B testing and experimentation strategies
- Ability to identify complex problems, evaluate options, and implement solutions; manage multiple projects and changing priorities
- Demonstrated success or ability to retain highly engaged, high-performing teams
- Background check and drug screen
- Understanding of ecommerce, fraud, and digital payments landscape
- Experience leading analytics transformation or process redesign initiatives
- Master's degree in Business Administration, Analytics, or related field
Early Warning Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Early Warning and has not been reviewed or approved by Early Warning.
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Retirement Support — A 401(k) with a 100% company match on the first 6% of pay and automatic enrollment strengthens long‑term savings. This robust employer match is a notable pillar of the total‑rewards package.
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Leave & Time Off Breadth — Flexible/unlimited PTO for exempt staff, tiered accruals for non‑exempt employees, 11 paid holidays, a paid volunteer day, and generous civic/military leaves indicate wide coverage. These provisions offer substantial flexibility for time away from work.
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Parental & Family Support — Twelve weeks of 100% paid parental leave are provided, complemented by company‑covered Maven support for family planning and caregiving. These benefits expand support for birth, adoption, and ongoing family needs.
Early Warning Insights
What We Do
For almost 3 decades, our identity, authentication and payment solutions have empowered financial institutions to make decisions, make payments & prevent fraud. Early Warning has been a leader in technology that helps protect and advance the financial system. We serve a diverse network of approximately 2,500 financial institutions, government entities and payment companies. Our product solutions enable real-time funds availability for a variety of payment types through our payments network.
