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Senior Director, AI and Data Platform

Eeug Fa Us6 Oraclecloud Com Cx · Remote, United States · Remote · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

Field	Value
Company	Eeug Fa Us6 Oraclecloud Com Cx
Title	Senior Director, AI and Data Platform
Normalized title	-
Department / team	Information Technology
Location	United States
Work model	Remote / Remote
Employment type	Full Time
Salary	-
Status	active
ATS provider	Oracle Recruiting Cloud / Fusion HCM
Posted / first seen	2026-06-04 / 2026-06-06
Changed / last seen	2026-06-06 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Eeug Fa Us6 Oraclecloud Com Cx.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Oracle Recruiting Cloud / Fusion HCM.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
Department jobs	Active postings in Information Technology.	Open
Work model jobs	Active Remote postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Eeug Fa Us6 Oraclecloud Com Cx
Source	f2cb2725-5825-434a-8fb8-fcc4f4ae7ddb
ATS provider	Oracle Recruiting Cloud / Fusion HCM

Description

Description Expect more. Connect more. Be more at Diebold Nixdorf.  Our teams automate, digitize, and transform the way more than 75 million people around the globe bank and shop in this hyper-connected, consumer-centric world. Join us in connecting people to commerce in this vital, rewarding role. 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. Responsibilities Lead the Diebold Nixdorf IT strategy and roadmap for AI, data platforms, and analytics, aligned to business priorities and the CIO’s technology agenda. Partner with senior business and functional stakeholders to identify, evaluate, prioritize, and sequence AI use cases based on value, feasibility, risk, readiness, and strategic alignment. Establish and lead the IT capabilities required to deliver AI at scale, including AI engineering, solution architecture, platform enablement, model lifecycle practices, integration patterns, testing, monitoring, support, and continuous improvement. Lead the AI engineering function, ensuring AI solutions are designed and delivered using robust software engineering, data engineering, security, architecture, and operational practices. Develop, implement, and continuously improve Diebold Nixdorf AI guardrails, including standards for responsible AI use, data protection, security, human oversight, transparency, vendor use, model management, and production deployment. Lead AI governance across IT, working closely with cybersecurity, legal, compliance, risk, privacy, procurement, enterprise architecture, and business stakeholders to establish clear decision rights, review processes, and control points. Define and manage the approved AI technology ecosystem, including enterprise AI platforms, development tools, reusable components, integration patterns, and vendor solutions. Build and mature the organization’s AI delivery model, balancing experimentation, proof of concept activity, production delivery, reuse, risk management, and measurable business outcomes. Lead Data and Analytics for IT, including the transformation of existing data infrastructure, reporting platforms, analytics capabilities, and data ways of working. Develop and execute a modern data platform strategy that supports analytics, AI, automation, reporting, operational insight, and future digital capabilities. Improve enterprise data quality, accessibility, integration, lineage, metadata, governance, and lifecycle management in partnership with business data owners and technology teams. Establish stronger analytics capabilities across IT and the wider business, including self-service analytics, executive dashboards, operational reporting, advanced analytics, and data product practices. Lead the transition from legacy or fragmented data environments toward more scalable, governed, cloud-enabled, and product-oriented data capabilities. Build, lead, coach, and develop a high-performing multidisciplinary team across AI engineering, data engineering, platform management, analytics, and governance. Manage team priorities, capacity, performance, budget, vendor relationships, delivery plans, and operating metrics. Work closely with Enterprise Architecture to ensure AI, data, and analytics solutions align with enterprise architecture principles, technology standards, integration strategy, and long-term platform direction. Partner with information security and infrastructure teams to ensure AI and data platforms are secure, resilient, compliant, observable, and operationally sustainable. Establish KPIs and value measures for AI, data, and analytics initiatives, including adoption, productivity, cost, quality, risk reduction, speed to delivery, and business impact. Communicate progress, risks, decisions, and recommendations clearly to the CIO, executive stakeholders, governance bodies, and cross-functional leadership teams. Stay current with developments in AI, data platforms, analytics, cloud, automation, and responsible AI, translating relevant trends into practical enterprise opportunities. Qualifications Required Qualifications Significant experience in senior IT, data, analytics, AI, digital, or technology leadership roles within a complex enterprise environment. Demonstrated ability to lead enterprise-scale AI, data platform, analytics, cloud, or digital transformation initiatives. Strong understanding of generative AI, machine learning, AI engineering, data engineering, analytics platforms, cloud data architectures, integration patterns, and enterprise technology delivery. Proven experience developing technology strategy, roadmaps, operating models, governance processes, and scalable delivery capabilities. Experience leading AI use case prioritization, AI delivery, responsible AI practices, or AI governance in an enterprise context. Strong understanding of data governance, data quality, metadata, data lineage, master data concepts, data integration, reporting, analytics, and self-service business intelligence. Experience modernizing data infrastructure, including cloud-based data platforms, data lakes, data warehouses, lakehouse architectures, or equivalent enterprise data environments. Strong people leadership experience, including building, managing, and developing multidisciplinary technical teams. Ability to influence and align senior stakeholders across business functions, IT, cybersecurity, legal, compliance, procurement, privacy, risk, and enterprise architecture. Strong commercial and vendor management capability, including experience assessing, selecting, implementing, and governing third-party technology solutions. Excellent judgment in balancing innovation, speed, risk, governance, security, cost, and operational reliability. Strong executive communication skills, with the ability to explain complex AI, data, and technology topics in clear business terms. Experience operating in a global or matrixed organization is preferred. Experience in manufacturing, services, supply chain, or similarly complex operational environments is advantageous. Bachelor’s degree in computer science, engineering, data science, information systems, business, or a related discipline preferred; advanced degree or relevant certifications are advantageous. Based in the United States and able to work effectively in a remote leadership role, with periodic travel as required. Company Why should you join Diebold Nixdorf? Brightest minds + technology and innovation + business transformation The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce. Our culture is fueled by our values of collaboration, decisiveness, urgency, willingness to change, and accountability. –Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. ** To all recruitment agencies: Diebold Nixdorf does not accept agency resumes. Please do not forward resumes to our jobs alias, Diebold Nixdorf employees or any other organization location. Diebold Nixdorf is not responsible for any fees related to unsolicited resumes** We are a global Company operating in multiple Locations and Entities. As we are keen to find the best solution for our candidates several legal entities might be applicable for a Job offer. A List of our operating entities can be found here - https://www.dieboldnixdorf.com/en-us/about-us/global-locations

Full job record

Job ID	aa2b5f82d379e61623337194ec089c7a403811d5
Org ID	0f20b242-79bf-4643-aba0-39cf302b12a9
Source ID	f2cb2725-5825-434a-8fb8-fcc4f4ae7ddb
Board ID	f2cb2725-5825-434a-8fb8-fcc4f4ae7ddb
Provider	oracle_hcm
Provider Job Key	19241
Title	Senior Director, AI and Data Platform
Normalized Title	—
Status	active
Active	yes
Location Text	Remote, United States
Department	Information Technology
Team	—
Employment Type	full_time
Workplace Type	remote
Remote Policy	remote
Country	United States
Region	—
City	—
Salary Raw	Description Expect more. Connect more. Be more at Diebold Nixdorf.  Our teams automate, digitize, and transform the way more than 75 million people around the globe bank and shop in this hyper-connected, consumer-centric world. Join us in connecting people to commerce in this vital, rewarding role. 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. Responsibilities Lead the Diebold Nixdorf IT strategy and roadmap for AI, data platforms, and analytics, aligned to business priorities and the CIO’s technology agenda. Partner with senior business and functional stakeholders to identify, evaluate, prioritize, and sequence AI use cases based on value, feasibility, risk, readiness, and strategic alignment. Establish and lead the IT capabilities required to deliver AI at scale, including AI engineering, solution architecture, platform enablement, model lifecycle practices, integration patterns, testing, monitoring, support, and continuous improvement. Lead the AI engineering function, ensuring AI solutions are designed and delivered using robust software engineering, data engineering, security, architecture, and operational practices. Develop, implement, and continuously improve Diebold Nixdorf AI guardrails, including standards for responsible AI use, data protection, security, human oversight, transparency, vendor use, model management, and production deployment. Lead AI governance across IT, working closely with cybersecurity, legal, compliance, risk, privacy, procurement, enterprise architecture, and business stakeholders to establish clear decision rights, review processes, and control points. Define and manage the approved AI technology ecosystem, including enterprise AI platforms, development tools, reusable components, integration patterns, and vendor solutions. Build and mature the organization’s AI delivery model, balancing experimentation, proof of concept activity, production delivery, reuse, risk management, and measurable business outcomes. Lead Data and Analytics for IT, including the transformation of existing data infrastructure, reporting platforms, analytics capabilities, and data ways of working. Develop and execute a modern data platform strategy that supports analytics, AI, automation, reporting, operational insight, and future digital capabilities. Improve enterprise data quality, accessibility, integration, lineage, metadata, governance, and lifecycle management in partnership with business data owners and technology teams. Establish stronger analytics capabilities across IT and the wider business, including self-service analytics, executive dashboards, operational reporting, advanced analytics, and data product practices. Lead the transition from legacy or fragmented data environments toward more scalable, governed, cloud-enabled, and product-oriented data capabilities. Build, lead, coach, and develop a high-performing multidisciplinary team across AI engineering, data engineering, platform management, analytics, and governance. Manage team priorities, capacity, performance, budget, vendor relationships, delivery plans, and operating metrics. Work closely with Enterprise Architecture to ensure AI, data, and analytics solutions align with enterprise architecture principles, technology standards, integration strategy, and long-term platform direction. Partner with information security and infrastructure teams to ensure AI and data platforms are secure, resilient, compliant, observable, and operationally sustainable. Establish KPIs and value measures for AI, data, and analytics initiatives, including adoption, productivity, cost, quality, risk reduction, speed to delivery, and business impact. Communicate progress, risks, decisions, and recommendations clearly to the CIO, executive stakeholders, governance bodies, and cross-functional leadership teams. Stay current with developments in AI, data platforms, analytics, cloud, automation, and responsible AI, translating relevant trends into practical enterprise opportunities. Qualifications Required Qualifications Significant experience in senior IT, data, analytics, AI, digital, or technology leadership roles within a complex enterprise environment. Demonstrated ability to lead enterprise-scale AI, data platform, analytics, cloud, or digital transformation initiatives. Strong understanding of generative AI, machine learning, AI engineering, data engineering, analytics platforms, cloud data architectures, integration patterns, and enterprise technology delivery. Proven experience developing technology strategy, roadmaps, operating models, governance processes, and scalable delivery capabilities. Experience leading AI use case prioritization, AI delivery, responsible AI practices, or AI governance in an enterprise context. Strong understanding of data governance, data quality, metadata, data lineage, master data concepts, data integration, reporting, analytics, and self-service business intelligence. Experience modernizing data infrastructure, including cloud-based data platforms, data lakes, data warehouses, lakehouse architectures, or equivalent enterprise data environments. Strong people leadership experience, including building, managing, and developing multidisciplinary technical teams. Ability to influence and align senior stakeholders across business functions, IT, cybersecurity, legal, compliance, procurement, privacy, risk, and enterprise architecture. Strong commercial and vendor management capability, including experience assessing, selecting, implementing, and governing third-party technology solutions. Excellent judgment in balancing innovation, speed, risk, governance, security, cost, and operational reliability. Strong executive communication skills, with the ability to explain complex AI, data, and technology topics in clear business terms. Experience operating in a global or matrixed organization is preferred. Experience in manufacturing, services, supply chain, or similarly complex operational environments is advantageous. Bachelor’s degree in computer science, engineering, data science, information systems, business, or a related discipline preferred; advanced degree or relevant certifications are advantageous. Based in the United States and able to work effectively in a remote leadership role, with periodic travel as required. Company Why should you join Diebold Nixdorf? Brightest minds + technology and innovation + business transformation The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce. Our culture is fueled by our values of collaboration, decisiveness, urgency, willingness to change, and accountability. –Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. To all recruitment agencies: Diebold Nixdorf does not accept agency resumes. Please do not forward resumes to our jobs alias, Diebold Nixdorf employees or any other organization location. Diebold Nixdorf is not responsible for any fees related to unsolicited resumes We are a global Company operating in multiple Locations and Entities. As we are keen to find the best solution for our candidates several legal entities might be applicable for a Job offer. A List of our operating entities can be found here - https://www.dieboldnixdorf.com/en-us/about-us/global-locations
Salary Min	—
Salary Max	—
Salary Currency	—
Salary Period	—
Source URL	https://eeug.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx/job/19241
Apply URL	https://eeug.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx/job/19241
First Seen At	2026-06-06 11:50:37Z
Last Seen At	2026-06-06 11:50:37Z
Last Checked At	2026-06-06 11:50:37Z
Last Changed At	2026-06-06 11:50:37Z
Inactive At	—
Source Posted At	2026-06-04 20:01:42Z
Source Updated At	—
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margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Proven experience developing technology strategy, roadmaps, operating models, governance processes, and scalable delivery capabilities.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Experience leading AI use case prioritization, AI delivery, responsible AI practices, or AI governance in an enterprise context.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong understanding of data governance, data quality, metadata, data lineage, master data concepts, data integration, reporting, analytics, and self-service business intelligence.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Experience modernizing data infrastructure, including cloud-based data platforms, data lakes, data warehouses, lakehouse architectures, or equivalent enterprise data environments.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong people leadership experience, including building, managing, and developing multidisciplinary technical teams.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Ability to influence and align senior stakeholders across business functions, IT, cybersecurity, legal, compliance, procurement, privacy, risk, and enterprise architecture.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong commercial and vendor management capability, including experience assessing, selecting, implementing, and governing third-party technology solutions.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Excellent judgment in balancing innovation, speed, risk, governance, security, cost, and operational reliability.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong executive communication skills, with the ability to explain complex AI, data, and technology topics in clear business terms.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Experience operating in a global or matrixed organization is preferred.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Experience in manufacturing, services, supply chain, or similarly complex operational environments is advantageous.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Bachelor’s degree in computer science, engineering, data science, information systems, business, or a related discipline preferred; advanced degree or relevant certifications are advantageous.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Based in the United States and able to work effectively in a remote leadership role, with periodic travel as required.</span></span></p></li></ul>",
    "InternalQualificationsStr": "<p><strong>Required Qualifications</strong></p><ul style=\"list-style-type: disc; padding-left: 18.93px;\"><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Significant experience in senior IT, data, analytics, AI, digital, or technology leadership roles within a complex enterprise environment.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Demonstrated ability to lead enterprise-scale AI, data platform, analytics, cloud, or digital transformation initiatives.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong understanding of generative AI, machine learning, AI engineering, data engineering, analytics platforms, cloud data architectures, integration patterns, and enterprise technology delivery.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Proven experience developing technology strategy, roadmaps, operating models, governance processes, and scalable delivery capabilities.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Experience leading AI use case prioritization, AI delivery, responsible AI practices, or AI governance in an enterprise context.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong understanding of data governance, data quality, metadata, data lineage, master data concepts, data integration, reporting, analytics, and self-service business intelligence.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Experience modernizing data infrastructure, including cloud-based data platforms, data lakes, data warehouses, lakehouse architectures, or equivalent enterprise data environments.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong people leadership experience, including building, managing, and developing multidisciplinary technical teams.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Ability to influence and align senior stakeholders across business functions, IT, cybersecurity, legal, compliance, procurement, privacy, risk, and enterprise architecture.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong commercial and vendor management capability, including experience assessing, selecting, implementing, and governing third-party technology solutions.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Excellent judgment in balancing innovation, speed, risk, governance, security, cost, and operational reliability.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Strong executive communication skills, with the ability to explain complex AI, data, and technology topics in clear business terms.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Experience operating in a global or matrixed organization is preferred.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Experience in manufacturing, services, supply chain, or similarly complex operational environments is advantageous.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Bachelor’s degree in computer science, engineering, data science, information systems, business, or a related discipline preferred; advanced degree or relevant certifications are advantageous.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Based in the United States and able to work effectively in a remote leadership role, with periodic travel as required.</span></span></p></li></ul>",
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    "ExternalResponsibilitiesStr": "<ul style=\"list-style-type: disc; padding-left: 18.93px;\"><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead the Diebold Nixdorf IT strategy and roadmap for AI, data platforms, and analytics, aligned to business priorities and the CIO’s technology agenda.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Partner with senior business and functional stakeholders to identify, evaluate, prioritize, and sequence AI use cases based on value, feasibility, risk, readiness, and strategic alignment.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Establish and lead the IT capabilities required to deliver AI at scale, including AI engineering, solution architecture, platform enablement, model lifecycle practices, integration patterns, testing, monitoring, support, and continuous improvement.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead the AI engineering function, ensuring AI solutions are designed and delivered using robust software engineering, data engineering, security, architecture, and operational practices.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Develop, implement, and continuously improve Diebold Nixdorf AI guardrails, including standards for responsible AI use, data protection, security, human oversight, transparency, vendor use, model management, and production deployment.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead AI governance across IT, working closely with cybersecurity, legal, compliance, risk, privacy, procurement, enterprise architecture, and business stakeholders to establish clear decision rights, review processes, and control points.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Define and manage the approved AI technology ecosystem, including enterprise AI platforms, development tools, reusable components, integration patterns, and vendor solutions.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Build and mature the organization’s AI delivery model, balancing experimentation, proof of concept activity, production delivery, reuse, risk management, and measurable business outcomes.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead Data and Analytics for IT, including the transformation of existing data infrastructure, reporting platforms, analytics capabilities, and data ways of working.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Develop and execute a modern data platform strategy that supports analytics, AI, automation, reporting, operational insight, and future digital capabilities.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Improve enterprise data quality, accessibility, integration, lineage, metadata, governance, and lifecycle management in partnership with business data owners and technology teams.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Establish stronger analytics capabilities across IT and the wider business, including self-service analytics, executive dashboards, operational reporting, advanced analytics, and data product practices.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead the transition from legacy or fragmented data environments toward more scalable, governed, cloud-enabled, and product-oriented data capabilities.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Build, lead, coach, and develop a high-performing multidisciplinary team across AI engineering, data engineering, platform management, analytics, and governance.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Manage team priorities, capacity, performance, budget, vendor relationships, delivery plans, and operating metrics.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Work closely with Enterprise Architecture to ensure AI, data, and analytics solutions align with enterprise architecture principles, technology standards, integration strategy, and long-term platform direction.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Partner with information security and infrastructure teams to ensure AI and data platforms are secure, resilient, compliant, observable, and operationally sustainable.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Establish KPIs and value measures for AI, data, and analytics initiatives, including adoption, productivity, cost, quality, risk reduction, speed to delivery, and business impact.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Communicate progress, risks, decisions, and recommendations clearly to the CIO, executive stakeholders, governance bodies, and cross-functional leadership teams.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Stay current with developments in AI, data platforms, analytics, cloud, automation, and responsible AI, translating relevant trends into practical enterprise opportunities.</span></span></p></li></ul>",
    "InternalResponsibilitiesStr": "<ul style=\"list-style-type: disc; padding-left: 18.93px;\"><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead the Diebold Nixdorf IT strategy and roadmap for AI, data platforms, and analytics, aligned to business priorities and the CIO’s technology agenda.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Partner with senior business and functional stakeholders to identify, evaluate, prioritize, and sequence AI use cases based on value, feasibility, risk, readiness, and strategic alignment.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Establish and lead the IT capabilities required to deliver AI at scale, including AI engineering, solution architecture, platform enablement, model lifecycle practices, integration patterns, testing, monitoring, support, and continuous improvement.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead the AI engineering function, ensuring AI solutions are designed and delivered using robust software engineering, data engineering, security, architecture, and operational practices.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Develop, implement, and continuously improve Diebold Nixdorf AI guardrails, including standards for responsible AI use, data protection, security, human oversight, transparency, vendor use, model management, and production deployment.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead AI governance across IT, working closely with cybersecurity, legal, compliance, risk, privacy, procurement, enterprise architecture, and business stakeholders to establish clear decision rights, review processes, and control points.</span></span></p></li><li><p style=\"line-height: normal; 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margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Lead the transition from legacy or fragmented data environments toward more scalable, governed, cloud-enabled, and product-oriented data capabilities.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Build, lead, coach, and develop a high-performing multidisciplinary team across AI engineering, data engineering, platform management, analytics, and governance.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 10pt;\">Manage team priorities, capacity, performance, budget, vendor relationships, delivery plans, and operating metrics.</span></span></p></li><li><p style=\"line-height: normal; 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    "ShortDescriptionStr": "Diebold Nixdorf automates, digitizes and transforms the way people bank and shop. As a partner to the majority of the World's top 100 financial institutions and top 25 global retailers, our integrated solutions connect digital and physical channels conveniently, securely and efficiently for millions of consumers each day. \n\nWe are seeking a Senior Director, AI and Data Platform to lead the next stage of our enterprise AI, data, and analytics agenda. Reporting directly to the CIO, this senior IT leadership role will be accountable for building the technology capabilities, engineering practices, governance model, and data foundations needed to accelerate safe, scalable, and value-driven adoption of AI and analytics across the business.\n\nThe successful candidate will lead a multidisciplinary team spanning AI enablement, AI engineering, data platforms, analytics, and governance. This a critical IT leadership role which will enable a transformational, company-wide impact.\n",
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Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/aa2b5f82d379e61623337194ec089c7a403811d5?include=descriptionJSON

GET https://api.bluedoor.sh/job-postings/v1/orgs/0f20b242-79bf-4643-aba0-39cf302b12a9JSON

GET https://api.bluedoor.sh/job-postings/v1/sources/f2cb2725-5825-434a-8fb8-fcc4f4ae7ddbJSON

GET https://api.bluedoor.sh/job-postings/v1/jobs/aa2b5f82d379e61623337194ec089c7a403811d5/eventsJSON

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