Senior Director, AI and Data Platform

Expect more. Connect more. Be more at Diebold Nixdorf. Our teams automate, digitize, and transform the way more than 75 million peoplearound the globebank and shop in thishyper-connected, consumer-centric world. Join us inconnecting people to commerce in this vital, rewardingrole.

The Senior Director, AI and Data Platform will be responsible for shaping and leading IT's enterprise capability in artificial intelligence, data platforms, and analytics. This is a new leadership position created to accelerate the organization's ability to deploy AI responsibly and at scale, while also transforming the underlying data and analytics environment needed to support future business growth.

The role will provide IT leadership for AI, partnering with key stakeholders to identify, assess, prioritize, and deliver AI use cases that create measurable business value. This includes establishing the technical, architectural, engineering, and operational capabilities required to move from experimentation to production-grade AI solutions. The role will lead the AI engineering effort, ensuring that AI solutions are robust, secure, scalable, maintainable, and aligned with technology standards.

The role will develop and operate the organization's AI guardrails and governance model. The Senior Director will work across IT (including information security), legal, compliance, data privacy, risk, procurement, and business leadership to ensure AI is adopted safely, ethically, and in line with company policies. This will include defining decision rights, review processes, platform standards, reusable patterns, approved tools, data controls, and lifecycle management for AI solutions.

The role will also lead Data and Analytics for IT. This includes transforming the current data infrastructure, data operating model, analytics capabilities, and ways of working. The Senior Director will be accountable for developing a modern, scalable data platform strategy; improving data quality, accessibility, governance, and integration; and enabling stronger analytics, reporting, and self-service insight capabilities across the organization.

The successful candidate will be a strategic technology leader with strong execution discipline. They will combine enterprise IT leadership experience with deep understanding of AI, data platforms, analytics, cloud technologies, governance, and engineering delivery. They must be able to operate at executive level while also providing practical direction to teams responsible for platforms, products, data pipelines, AI engineering, governance, and analytics enablement.