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Director - Tech Delivery Mgmt

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Ally
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

General information

# 21811

Remote? No

Ally and Your Career

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion.

From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?

The Opportunity

At Ally, you get a startup feel, but experience the benefits of a company that has worked out the kinks and is fulfilling its purpose. We are always evolving and see that as a good thing. From owning our work to seeing its impact in the real world, our team is relentless in finding new ways technology can help make experiences better and help people.

We are problem solvers, we value diverse thinking, we support one another, and we challenge ourselves to think bigger in the journey to deliver customer-obsessed solutions. To read more about what our tech team does, be sure to visit our tech blog h

We are seeking a Director, Head of Innovation Labs to establish and lead Ally’s next-generation innovation engine. This role will define and evolve a portfolio of innovation labs focused on rapid experimentation, emerging technologies, and new business models that drive material impact across the enterprise.

Operating at the intersection of strategy, technology, and venture-style execution, this role emphasizes disciplined experimentation, scalable incubation, and strong governance. You will set the vision and operating model for how ideas move from concept to pilot to scaled product, while partnering closely with business leaders, product, engineering, design, data, security, compliance, and legal teams to ensure innovations are bold, responsible, and commercially viable.

As a senior technical and innovation leader, you will identify external trends, build strategic partnerships, and cultivate internal talent to continuously expand Ally’s innovation capacity. You will balance speed with rigor, creativity with accountability, and exploration with measurable business outcomes.

At this time, Ally will not sponsor a new applicant for employment authorization for this position.

The Work Itself
  • Own and evolve the technical vision and architecture for Innovation Labs, establishing a scalable ecosystem for rapid experimentation, prototyping, and incubation across emerging technologies.
  • Continuously evaluate and pilot emerging technologies and architectural patterns, including generative AI, autonomous agents, machine learning platforms, advanced analytics, cloud-native, and automation, and drive strategic adoption where they create material business value.
  • Define technical standards, patterns, and reference architectures for building AI-enabled MVPs, proofs of concept, and pilots that can transition efficiently into enterprise-grade products.
  • Design and oversee shared innovation tooling, sandbox environments, and cloud-based experimentation platforms for model development, agent orchestration, data access, and rapid application delivery.
  • Establish lab-level approaches for data architecture, model lifecycle management (MLOps/LLMOps), integration, security, identity, and observability to support fast, safe experimentation.
  • Ensure innovation solutions meet enterprise requirements for security, privacy, reliability, accessibility, responsible AI, and regulatory compliance.
  • Partner with product, engineering, data, and infrastructure teams to modernize core platforms and introduce AI-first and automation-first capabilities.
  • Drive technical due diligence for innovation investments, build-vs-buy decisions, and external partnerships related to AI platforms, tooling, and emerging ecosystems.
  • Identify systemic technical risks and scalability constraints (e.g., data quality, model drift, cost, latency) and lead cross-team…
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