Senior Director - Applied Data & AI

Ally Bank•Charlotte, NC

About The Position

Ally Financial is seeking a technology executive to lead its Applied Data & AI engineering organization. The role transforms Ally’s data, analytics, AI, and automation capabilities into measurable business outcomes by connecting platform capabilities with business needs. The leader partners with business executives, technology leaders, and the Data & AI Platforms organization to deliver scalable solutions, innovative products, intelligent applications, and operational efficiencies across the enterprise. The Senior Director leads a multidisciplinary organization and advises senior leaders on technology roadmaps, investment priorities, and enterprise adoption strategies. The role also influences the future direction of Ally’s Data & AI capabilities and champions modern engineering practices, while building and developing an inclusive, high-performing team of engineers, architects, and technical leaders.

Requirements

  • 12+ years of relevant experience or an equivalent combination of education and experience.
  • High school diploma or GED equivalent.
  • Significant technical experience leading data, AI, and software engineering organizations in complex enterprise environments.
  • Demonstrated success partnering with business leaders to deliver technology solutions that drive revenue growth, operational efficiency, customer satisfaction, or risk reduction.
  • Deep expertise across modern Data & AI ecosystems, including cloud platforms, data engineering, analytics, APIs, machine learning, generative AI, intelligent applications, and automation technologies.
  • Ability to connect business strategy, data assets, AI capabilities, and engineering execution into cohesive solutions with measurable outcomes.
  • Exceptional collaboration, communication, and influence skills, including the ability to align diverse stakeholders around a shared vision, strategy, and roadmap.
  • Strategic, future-oriented mindset with the ability to challenge the status quo, anticipate opportunities, and work backward from long-term business goals.
  • People-first leadership approach that balances ambition, accountability, curiosity, and humility.
  • Proven success developing technical leaders and creating inclusive, high-performing organizations that attract and retain talent.
  • Experience leading organizational transformation and driving enterprise adoption of emerging technologies, including AI and automation.
  • Experience operating in highly regulated, complex environments, balancing technology innovation with risk management, security, and governance.

Nice To Haves

  • Advanced degree.

Responsibilities

  • Lead the Applied Data & AI engineering organization delivering business-facing data, analytics, AI, and intelligent automation solutions across the enterprise.
  • Partner with business and technology leaders to identify high-value opportunities and translate them into scalable, production-ready capabilities with measurable outcomes.
  • Work with the Senior Director of Data & AI Platforms to leverage, extend, and influence Ally’s core data and AI platforms and align platform investments with business needs.
  • Lead delivery of AI-powered products and intelligent solutions that enhance customer experiences, improve operational efficiency, reduce risk, and accelerate growth.
  • Advise senior leaders on technology roadmaps, investment priorities, and enterprise Data & AI adoption strategies.
  • Influence enterprise technology strategy and help define the future direction of Ally’s Data & AI capabilities.
  • Champion cloud-native architectures, platform engineering, API-first development, AI-enabled software engineering, automation, and DevSecOps.
  • Build partnerships across product, engineering, data science, analytics, risk, operations, and business teams.
  • Build, inspire, and develop an organization of engineers, architects, and technical leaders, fostering an inclusive, high-performance culture.
  • Drive organizational transformation and enterprise adoption of emerging technologies, including AI and automation.

Benefits

  • Market-competitive base pay and performance-based annual incentive plan.
  • Paid time off starting at 20 days, 11 paid holidays, and 8 hours of annual volunteer time off.
  • 401(k) retirement savings plan with matching and company contributions.
  • Student loan pay-down and 529 educational savings assistance programs.
  • Tuition reimbursement.
  • Employee stock purchase plan.
  • Financial learning center and financial coach access.
  • Medical, dental, and vision insurance options.
  • Employee, spouse, and child life insurance.
  • Short- and long-term disability insurance.
  • Health Savings Account with employer contributions and Healthcare FSA.
  • Critical illness, accident, and hospital indemnity insurance.
  • Total well-being program.
  • Adoption, surrogacy, and fertility assistance.
  • Paid parental and caregiver leave.
  • Dependent Day Care FSA, backup child and adult/elder care days, and childcare discounts.
  • Employee Assistance Program.
  • Subsidized and discounted Weight Watchers program and other employee discount programs.
  • Depending on the role, travel allowances, relocation assistance, signing bonus, and/or equity may be available.
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