Education and experience typically obtained through completion of a bachelor's degree in business, Program Management and/or Computer Science, or related field.
Minimum of 10 or more years of experience in program or project management roles, ideally within data, analytics, AI/ML, or technology transformation initiatives.
Proven experience working in a highly regulated industry.
Demonstrated program management excellence in business and technical environments, ability to manage enterprise-scale programs with technical, legal, and organizational complexity.
Strong familiarity with Generative AI or broader data/ML lifecycle management
Proven track record of delivering high-visibility initiatives with the ability to thrive in ambiguity and scale programs from 0 to 1.
Possess excellent analytical and problem-solving abilities, able to deal effectively with ambiguity and change.
Highly engaged, self-starter with excellent written/verbal communication skills and the ability to balance achieving business results, fostering collaboration, and influencing business strategies.
Drug screen and background check.
PMP, PgMP, or similar certification preferred; experience with Agile/Hybrid delivery methodologies.
Passion for AI innovation with a pragmatic approach to compliance and risk.
Bias for action with strong analytical and problem-solving skills.
Physical Requirements
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
The base pay scale for this position in:
New York, NY/ San Francisco, CA in USD per year is: $173,000 - $200,000.
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
Additional Information
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 Program Manager, Generative AI is responsible for driving Early Warning's rollout and adoption of Generative AI tools. Creates a seamless flow from design, launch, and manages a strategic GenAI enablement program tailored for the needs of a highly regulated industry. This role is responsible for coordinating cross-functional efforts, ensuring governance and compliance, and delivering measurable outcomes aligned with business value. .
Essential Functions
Deeply understands how GenAI tools are used and successfully implements while applying program management excellence to create realistic, integrated, and comprehensive plans.
Implements and manages the GenAI Program Management, including defining KPI's, milestones, and reporting cadences.
Coordinates across legal, compliance, IT, data governance, and business teams to ensure responsible AI deployment.
Oversees vendor evaluation, procurement, and onboarding of GenAI technologies.
Drives cross-functional collaboration and communication to ensure alignment and adoption of GenAI technologies.
Develops training plans, communications, and enablement materials to support enterprise literacy and usage.
Owns the communication of program progress updates with executive leadership and department heads for reporting and feedback loops.
Builds and maintains dashboards and status reports for executive and operational audiences.
Manages budgets, resourcing, and vendor deliverables across program workstreams.
Supports the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.
Early Warning (zelle) · San Francisco