Senior Director, Enterprise Data, Analytics, AI & Automation

Mazda North American Operations

Senior Director leading the enterprise data, analytics, AI, and automation strategy at Mazda. Responsible for modernization, governance, and delivering business value through data-driven intelligence.

Posted 7/1/2026full-timeRemote • Alabama, Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Hawaii, Idaho, Illinois, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin • 🇺🇸 United StatesSenior💰 $228,600 - $348,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in defining and executing enterprise Data, Analytics, AI, and Automation strategies, with a strong focus on data governance, cloud data architectures, and intelligent automation initiatives. Proven leadership in developing high-performing organizations and driving enterprise transformation programs.

Highest-signal resume keywords

Enterprise Data StrategyCloud Data ArchitectureAI GovernanceData GovernanceAnalytics Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModernizationEnterprise Data WarehouseAzure Data LakeMachine LearningAdvanced AnalyticsData ManagementIntelligent AutomationMulti-Year Technology RoadmapsFinancial ManagementRegulatory Compliance

Soft Skills

People LeadershipOrganizational DevelopmentStrategic Vendor Management

Tools & Technologies

ERP SystemsCRM SystemsBusiness Intelligence Ecosystems

Industry Keywords

AutomotiveManufacturingRetailDigital TransformationMulti-Channel Enterprise

Tech Stack

Tools & technologies

AzureCloudERP

About the role

Key responsibilities & impact

Define and execute the enterprise Data, Analytics, AI, and Automation strategy
Develop and maintain a multi-year roadmap for data modernization
Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
Establish enterprise data governance, data quality, and master data management capabilities
Develop enterprise analytics capabilities that improve decision-making
Drive adoption of intelligent automation and AI capabilities to improve productivity
Build, lead, and develop a high-performing organization

Requirements

What you’ll need

10+ years progressive leadership experience in enterprise Data, Analytics, AI, Automation, or Digital Transformation
7+ years experience leading enterprise data platforms, cloud data architectures, analytics engineering, or data management organizations
5+ years experience leading enterprise AI, machine learning, advanced analytics, or intelligent automation initiatives
5+ years experience with people leadership, organizational development, financial management, and strategic vendor management
Demonstrated success developing and executing multi-year technology roadmaps, investment strategies, and enterprise transformation programs
Experience establishing enterprise data governance, AI governance, information management, and regulatory compliance programs
Experience leading modern cloud data platforms and analytics ecosystems
Experience leading enterprise ERP, CRM, and business intelligence ecosystems
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

Benefits

Comp & perks

Learn more about MNAO’s comprehensive benefits package here
Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development