below marketmost similar roles pay hereabove market
This role pays more than
59%
of similar roles. Most pay
$180,275–$267,035
— the blue band above.
At the midpoint, this role pays about
$235k
versus about
$224k
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
23 open roles
on FindRole.
Listed pay typically runs
$110,000–$180,000
across 23 roles with salary data.
The Senior Director - Applied Data & AI will lead a multidisciplinary engineering organization responsible for delivering business-facing data, analytics, AI, and intelligent automation solutions across the enterprise. This leader will partner with business and technology executives to identify high-value opportunities, translating them into scalable, production-ready capabilities that drive measurable outcomes. Key responsibilities include shaping technology roadmaps, overseeing the delivery of AI-powered products, and fostering deep partnerships across product, risk, and operations teams. The role requires expertise in cloud platforms, data engineering, machine learning, generative AI, APIs, and automation technologies. Candidates must champion modern engineering practices including cloud-native architectures, platform engineering, API-first development, AI-enabled software engineering, and DevSecOps. This position solves critical business challenges by bridging platform capabilities with operational efficiencies in a highly regulated environment.
Lead the Applied Data & AI engineering organization to deliver business-facing data, analytics, and automation solutions.
Partner with business and technology leaders to translate high-value opportunities into scalable, production-ready capabilities.
Collaborate with the Data & AI Platforms team to align core platform investments with emerging business needs.
Deliver AI-powered products that enhance customer experience, improve operational efficiency, and reduce enterprise risk.
Serve as a strategic advisor to senior leaders on technology roadmaps, investment priorities, and adoption strategies.
Champion modern engineering practices including cloud-native architectures, API-first development, and DevSecOps.
Build and develop a high-performing organization of engineers, architects, and technical leaders.
Influence enterprise technology strategy to define the future direction of the company's Data & AI capabilities.
What we're looking for
High school Diploma or GED equivalent.
12+ years of relevant experience or an equivalent combination of education and experience.
Significant technical experience leading data, AI, and software engineering organizations in complex enterprise environments.
Deep expertise in cloud platforms, data engineering, analytics, APIs, machine learning, generative AI, and automation technologies.
Proven success partnering with business leaders to deliver technology solutions that drive revenue, efficiency, customer satisfaction, or risk reduction.
Experience leading organizational transformation and driving enterprise adoption of emerging technologies in highly regulated environments.
Exceptional collaboration, communication, and influence skills to align diverse stakeholders around a shared vision.
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