Enterprise Analytics AI Manager

Daimler Truck North America

. Define and own the DTFS North America AI analytics vision, strategy and roadmap .

Posted 9/24/2026full-timeCharlotte • North Carolina • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-Enabled Analytics, Data Management, and Business Intelligence, with a strong focus on developing product roadmaps and analytics solutions that drive measurable outcomes. Proven ability to lead teams, manage vendor relationships, and implement data governance practices in a collaborative environment.

Highest-signal resume keywords

AI-Enabled AnalyticsData GovernanceData WarehousingSQLStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Business IntelligenceData ManagementData IntegrationData ModellingAnalytical ReportingPredictive AnalyticsNatural-Language InteractionAutomated Insight GenerationOperational Data StoresData Pipelines

Soft Skills

Excellent CommunicationConsulting SkillsTeam LeadershipStakeholder EngagementChange Management

Tools & Technologies

AI PlatformsIntelligent DashboardsAnalytics ProductsData Visualization ToolsData Governance Tools

Industry Keywords

Data QualityMetadataAccess ManagementPrivacy ComplianceEnterprise Technology

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Define and own the DTFS North America AI analytics vision, strategy and roadmap
Lead the shift from legacy reporting and visualization to AI-platform-enabled analytics, intelligent dashboards, conversational insight experiences and decision-support capabilities
Translate business questions into a prioritized portfolio of analytics products, use cases and measurable outcomes
Partner with IT DSS on architecture, data integration, platform enablement, security, application dependencies, release planning, support and operational sustainability
Lead the Data Management Domain, including operational data stores, data warehouses, semantic and analytical data models, data pipelines and enterprise reporting foundations
Ensure analytics products use governed, accurate, timely and well-documented data
Mature data governance practices with Data Stewards, including standards, metadata, documentation, privacy, retention, access and compliance
Build and maintain the AI analytics product roadmap and backlog
Enable diagnostic, predictive and prescriptive analytics
Adapt analytics capabilities and data foundations to support transformation programs and business-process changes
Establish product performance measures and adoption feedback loops
Drive an AI- and data-driven culture through consulting, communication, training, self-service enablement and change management
Lead, coach and develop the AI Analytics team; allocate talent and capacity
Manage vendor and partner relationships and ensure cost-effective, supportable solutions
Represent AI analytics and data-management priorities in leadership, governance and cross-functional forums

Requirements

What you’ll need

BS/BA and at least 8 years of progressive experience in business intelligence, analytics, data management, data products, enterprise technology or a related field, including people or program leadership experience
Experience leading enterprise analytics or data capabilities, including data warehouses, operational data stores, data modelling, data integration, SQL and analytical reporting
Ability to translate business strategy and executive information needs into product roadmaps, analytics solutions and measurable outcomes
Experience partnering across business, data governance and IT teams to deliver secure, scalable and supportable enterprise solutions
Knowledge of data governance, data quality, metadata, lineage, access management, privacy and compliance practices
Working knowledge of AI-enabled analytics approaches, including natural-language interaction with data, automated insight generation, intelligent dashboards and predictive analytics
Excellent communication, consulting and stakeholder-management skills, including explaining analytical and technical concepts to non-technical audiences
Ability to lead, coach and develop teams in a matrixed environment
Bachelor’s degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Finance, Business Administration or a related field
Final candidate must successfully complete a criminal background check
Visa sponsorship is only open to current Daimler Truck Financial Services employees working under an existing company visa

Benefits

Comp & perks

Competitive compensation
Opportunities for career growth
Supportive culture
Employee programs and benefits designed to promote growth, balance and wellness
Hybrid schedule: 4 days per week in-office / 1 day remote