below marketmost similar roles pay hereabove market
This role pays less than
92%
of similar roles. Most pay
$160,475–$216,216
— the blue band above.
At the midpoint, this role pays about
$145k
versus about
$188k
for comparable roles.
Based on 240 similar postings.
Employer
About Ally Financial
Ally Financial is a US-based digital financial services company offering online banking, auto financing, mortgage, and investment products. It is one of the largest all-digital banks in the United States.
Ally Financial currently has
31 open roles
on FindRole.
Listed pay typically runs
$110,000–$180,000
across 30 roles with salary data.
The Manager, Fraud Data Product Management will support the strategy, roadmap, and end-to-end delivery of the Fraud Data Plane, a governed operational data platform. This role involves translating fraud business needs into prioritized platform capabilities, managing a complex portfolio of initiatives, and connecting use cases to required data. You will lead intake, discovery, and prioritization while partnering with cross-functional teams to deliver capabilities from concept through launch. Key responsibilities include advancing reusable fraud data, real-time and batch integration, data quality, lineage, and governed access. Required skills include experience with data platforms, real-time streaming, batch integration, data modeling, APIs, and cloud-based services. The role solves the technical challenge of centralizing fraud data to improve detection, decisioning, and investigations within a financial services context.
Shape and execute the product vision, strategy, roadmap, and prioritized backlog for the Fraud Data Plane.
Translate fraud business needs into clear product requirements, user stories, acceptance criteria, and implementation plans.
Lead intake, discovery, and prioritization for new capabilities, platform enhancements, and emerging business demands.
Partner with cross-functional teams to deliver fraud data capabilities from initial concept through launch and operation.
Advance reusable fraud data, real-time and batch integration, data quality, lineage, and governed access.
Manage cross-functional dependencies, delivery risks, testing, release readiness, and user adoption.
Establish success measures to demonstrate improvements in fraud risk, decision accuracy, and operational efficiency.
Communicate strategy, progress, risks, and decisions clearly to senior leaders and delivery teams.
What we're looking for
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
7+ years of relevant experience.
5+ years of experience in product management, product ownership, program delivery, data products, financial services, fraud, risk, or a related discipline.
Demonstrated experience leading complex, cross-functional initiatives from strategy and discovery through implementation and production support.
Strong understanding of modern product-management practices, Agile delivery, backlog management, requirements development, prioritization, and value measurement.
Working knowledge of data platforms, including real-time streaming, batch integration, data modeling, APIs, lineage, data quality, and cloud-based services.
Ability to influence senior stakeholders, resolve ambiguity, and manage competing priorities in a highly matrixed environment.
Experience with fraud, identity, authentication, payments, decisioning, investigations, or financial-crime platforms (preferred).
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