Mazda Motor Corporation logo
Mazda Motor Corporation

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Senior Director, Enterprise Data, Analytics, AI & Automation

Data EntryData EntryFull TimeRemoteLeadTeam 10,001

Location

United States

Posted

11 days ago

Salary

$228.6K - $348.6K / year

Seniority

Lead

No structured requirement data.

Job Description

Senior Director, Enterprise Data, Analytics, AI & Automation

Mazda Motor Corporation

Role Description The Senior Director of Enterprise Data, Analytics, AI and automation is responsible for defining and executing the enterprise strategy for data, analytics, artificial intelligence, and intelligent automation. This leader will build the foundational capabilities, governance, platforms and operating models required to transform the data into a strategic asset, enable AI-powered business outcomes across the organization. Reporting to the Chief Information Officer, the role will partner closely with business leaders, technology teams, and external partners to modernize decision-making, automate business processes, accelerate innovation, and deliver measurable business value through data-driven intelligence. The successful candidate will lead the organization's Data & AI transformation agenda, ensuring that analytics, automation, machine learning, generative AI, and agentic AI capabilities are implemented responsibly, securely, and at scale. Qualifications - 10+ years progressive leadership experience in enterprise Data, Analytics, AI, Automation, or Digital Transformation, with accountability for enterprise strategy, delivery, and business outcomes required. - 7+ years experience leading enterprise data platforms, cloud data architectures, analytics engineering, or data management organizations in a complex, matrixed enterprise required. - 5+ years experience leading enterprise AI, machine learning, advanced analytics, or intelligent automation initiatives, including operating model design, governance, and enterprise adoption required. - 5+ years experience with people leadership, organizational development, financial management, and strategic vendor management, including oversight of consulting partners, managed services, and technology providers required. - Demonstrated success developing and executing multi-year technology roadmaps, investment strategies, and enterprise transformation programs preferred. - Experience establishing enterprise data governance, AI governance, information management, and regulatory compliance programs preferred. - Experience leading modern cloud data platforms and analytics ecosystems (e.g., Azure, Databricks, Microsoft Fabric, AWS, or Google Cloud) preferred. - Experience leading enterprise ERP, CRM, and business intelligence ecosystems to support enterprise reporting, analytics, and operational decision-making preferred. - Experience working within global or multinational organizations; experience in a Japanese-affiliated organization preferred. - Automotive, manufacturing, retail, or other complex multi-channel enterprise experience preferred. Requirements - Bachelor of Science (BS) Computer and Information Science or related discipline is Required. - Master of Science (MS) Computer and Information Science Preferred. - Master of Business Administration (MBA) Preferred. Licenses and Certifications - Microsoft Certified: Azure Data Fundamentals - Microsoft Corporation Preferred Upon Hire. - AWS Certified Data Analytics – Specialty - Scrum Alliance Preferred Upon Hire. - Databricks Certified Data Engineer Associate - Databricks Preferred Upon Hire. - Google Cloud Professional Cloud Architect - Google Cloud Preferred Upon Hire. - Certified Data Management Professional (CDMP) - Data Management Association International (DAMA) Preferred Upon Hire. - Agile Certified Practitioner (PMI-ACP) - Project Management Institute (PMI) Preferred Upon Hire. - Project Management Professional (PMP) - Project Management Institute (PMI) Preferred Upon Hire. Knowledge, Skills, Abilities - Deep expertise in enterprise data governance, data quality management, metadata management, and modern data architecture (Advanced-Authority). - Demonstrated ability to develop, operationalize, and scale enterprise AI enablement programs, including use case identification, governance, change management, and cross-functional adoption (Advanced-Authority). - Strong understanding of advanced analytics, statistical modeling, machine learning, and AI technologies, with the ability to lead highly technical teams and guide architectural and technology decisions (Advanced-Authority). - Working knowledge of programming and query languages commonly used in modern data environments (e.g., Python, SQL, R; Java and C++) (Advanced-Authority). - Comprehensive knowledge of data privacy, cybersecurity, regulatory compliance, and emerging AI governance and Responsible AI frameworks (Advanced-Authority). - Proven experience managing strategic technology vendors, negotiating complex contracts, and overseeing large-scale data and AI platform partnerships (Advanced-Authority). - Executive presence with exceptional written and verbal communication skills; able to translate complex technical concepts into clear business insights for executive leadership and board-level audiences (Advanced-Authority). - Demonstrated ability to lead and influence across a complex, matrixed organization while building trusted relationships with business and technology stakeholders (Advanced-Authority). - Strong portfolio, program, and project management capabilities, with the ability to prioritize competing initiatives and deliver measurable business outcomes in a fast-paced environment (Advanced-Authority). - Collaborative and inclusive leadership style with the ability to coach teams, influence peers, and build alignment across executive and cross-functional stakeholders (Advanced-Authority). - Proficiency with Microsoft 365, Power BI, Copilot, and other enterprise AI productivity and collaboration platforms (Advanced-Authority). - Consistently demonstrates MNAO's Leadership Competencies and Pride Point behaviors while fostering a culture of innovation, accountability, collaboration, and continuous improvement (Advanced-Authority). Physical Demands - Stationary Position/Seated: Constantly. - Communicate/Talking: Constantly. - Communicate/Hearing: Constantly. - Seeing/Observing: Constantly. Travel Requirements - 10% Flying Domestic: Essential. Pay Range $228,600.00 - $348,600.00. Salary to be determined by education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data.

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