Inside the Role

Lead the evolution of business intelligence into AI-enabled analytics, using the enterprise AI platform to create trusted analytics, intelligent dashboards and decision-support capabilities while sustaining strong data management, governance, quality and partnership with IT and AI Engineering.

About Daimler Truck Financial Services
Daimler Truck Financial Services is the financial arm supporting the mission of Daimler Truck’s global transportation business. We deliver innovative financing, leasing, fleet-management and digital services to help our customers operate efficiently, sustainably and competitively. As DTFS North America expands the use of artificial intelligence across business processes and decision-making, we are strengthening the capabilities that turn trusted data into actionable insights.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

What You Drive at DTFS

As the Enterprise Analytics AI Manager you will define and lead the vision, roadmap and execution of AI-enabled analytics and dashboard capabilities for DTFS North America. You will guide the transition from traditional business-intelligence delivery to an AI-platform-based analytics model that improves how leaders and business teams access, understand and act on information.

This role retains end-to-end leadership for data management, enterprise analytics, operational data stores and data-warehouse capabilities, data governance, data quality and privacy-aligned access. You will partner closely with business leaders, Data Steward community, IT DSS team and AI Engineering team to develop secure, scalable and well-governed solutions that support diagnostic, predictive and prescriptive decision-making.

 

• Define and own the DTFS North America AI analytics vision, strategy and roadmap, aligned with business priorities and the broader Data and AI strategy.
• Lead the shift from legacy reporting and visualization approaches to AI-platform-enabled analytics, intelligent dashboards, conversational insight experiences and decision-support capabilities.
• Partner with executive and functional leaders to translate business questions into a prioritized portfolio of analytics products, use cases and measurable outcomes.
• Work in close partnership with the IT DSS team on architecture, data integration, platform enablement, security, application dependencies, release planning, support and operational sustainability.
• Provide business and technology leadership for 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, with clear ownership, lineage, definitions, quality controls and appropriate access.
• Lead and mature data governance practices in partnership with Data Stewards, including standards, metadata, documentation, privacy, retention, access and compliance requirements.
• Build and maintain an AI analytics product roadmap and backlog; prioritize work based on business value, risk, urgency, feasibility and strategic alignment.
• Enable diagnostic, predictive and prescriptive analytics by combining strong business context, trusted data and appropriate AI and analytical methods.
• Adapt analytics capabilities and data foundations to support transformation programs, portfolio initiatives and changes to business processes or operating models.
• Establish product performance measures and adoption feedback loops for analytics and dashboard solutions, and use them to improve usability, trust and business value.
• Drive an AI- and data-driven culture through stakeholder consulting, communication, training, self-service enablement and change-management activities.
• Lead, coach and develop the AI Analytics team; allocate talent and capacity to maximize business outcomes while building expertise in AI-enabled analytics, data preparation, dashboard design and data management.
• Manage relevant vendor and partner relationships and ensure solutions remain cost-effective, supportable and aligned with enterprise standards.
• Represent AI analytics and data-management priorities in leadership, governance and cross-functional forums.

 

Knowledge You Should Bring

• 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.
• Demonstrated 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.
• Strong 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 the ability to explain analytical and technical concepts to non-technical audiences.
• Proven 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.

Exceptional Candidates Might Have

• Experience modernizing a traditional BI or reporting organization toward AI-enabled analytics and product-oriented delivery. Experience with enterprise AI, cloud data or modern analytics platforms and their integration with governed enterprise data.
• Experience in financial services, commercial vehicle finance, leasing, credit, risk, operations, sales or fleet services.
• Knowledge of statistical, mathematical, predictive and prescriptive modelling techniques.
• Experience with agile delivery, human-centered design, product management and experimentation methods.
• Experience supporting organizational transformation, enterprise portfolio initiatives or large-scale change programs.
• Advanced degree in a relevant discipline.
• A strategic mindset with strong execution discipline, able to set a future-state vision while delivering practical near-term value.
• A product and customer orientation that starts with business decisions and user needs, not with tools or reports.
• A governance-first mindset that treats data quality, privacy, security, documentation and trust as essential product requirements.
• Curiosity about emerging AI analytics capabilities and sound judgment about where they create meaningful business value.
• Strong business acumen and the ability to connect analytics investments to growth, efficiency, risk management, customer experience and decision quality.
• Inclusive, accountable leadership that builds capability, encourages collaboration and develops talent.

 

Why Join Us

At Daimler Truck Financial Services, you’ll be at the intersection of commercial vehicle mobility, asset finance and advanced technology. You’ll help shape and deliver the intelligent future of fleet financing—making operations smarter, customers more empowered, assets more efficient—and helping drive sustainability and performance in a global transportation ecosystem. We offer competitive compensation, opportunities for career growth, supportive culture and the chance to make a transformational impact.

Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)- 

Charlotte, NC US. Relocation assistance is not available for this position.

Schedule Type: 

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.

Daimler Truck Financial is the captive financial services provider for the Daimler Trucks North America family of commercial vehicle products, including Freightliner Trucks, Western Star, SelecTrucks, Sprinter Vans, Thomas Built Buses and Fuso. We have specialized in financing commercial vehicles for more than 40 years. This proven experience gives us critical insights into helping businesses overcome challenges unique to the trucking industry. Additionally, we offer a range of financing solutions that can be customized to meet each individual business's needs, from owner-operators to large fleet managers and nearly every venture in-between.

To achieve our goal of being the first-choice provider of vehicle financial products and services that support our brands, dealers and customers, we are looking for talented, diverse and inspired people with the skills, experience and innovative spirit to provide a first-class experience at every turn. We are committed to providing a great workplace environment that fosters a culture of openness, support and camaraderie. Our employee programs and benefits are reflective of our values and are designed to promote growth, balance and wellness in many aspects of your career and life.

Additional Information

• Visa sponsorship will only be open to current Daimler Truck Financial Services employees working under an existing company visa

• Final candidate must successfully complete a criminal background check

• Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions

• EEO - Disabled/Veterans

Daimler Truck Financial Services is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.