Detroit is a leading powertrain and technology brand within Daimler Truck North America. Our products and services help keep commercial vehicles and the businesses that depend on them moving. In this role, you will work at the intersection of manufacturing, research and development, information technology, and business operations, helping teams use data and technology more effectively to improve performance, strengthen compliance, accelerate innovation, and make better decisions.
Inside the Role
The Manager of Data Science & Business Intelligence leads a cross-functional team of data scientists, data engineers, data analysts, business analysts and developers responsible for delivering scalable data products, analytics, custom applications, automations and cross-functional technology solutions for Detroit. This leader sets direction for data strategy, digitalization, and custom solution delivery, translates business priorities into a practical roadmap and portfolio, and partners across IT and business functions to deliver secure, reliable, reusable, and sustainable solutions. The role combines people leadership, strategic planning, technical judgment, project and product delivery, and operational accountability. The successful candidate can connect complex data and technology choices to measurable business outcomes while building a high-performing, customer-focused team.
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
Typical Minimum Education & Experience
Typically requires a Bachelors Degree
Typically requires 8 years of relevant experience
What You Will Drive
Provide forward-thinking leadership to a global team of data and business intelligence professionals, developers, and cross-functional technology personnel; establish an innovation-driven vision, clear priorities, delivery standards, and development plans.
Recruit, train, coach, mentor, and manage the data analytics and custom solutions development team; assign projects and tasks, provide guidance and support, evaluate performance, and build a high-performing, inclusive, and accountable environment.
Define and execute a multi-year data, business intelligence, and custom-solutions strategy and roadmap aligned with Detroit and enterprise objectives, including the availability, governance, consumption, and lifecycle of data-driven solutions.
Assist in defining and maintaining the organization's data architecture vision, strategy, and roadmap; oversee data integration efforts that consolidate and transform information from multiple sources into governed repositories and reusable data products.
Data Science and Business Intelligence Manager at Daimler Truck (Detroit, MI US) — aijobsearch
Optimize data and information flow, reliability, scalability, performance, accessibility, and storage by reducing redundancy, improving reuse, and enabling appropriate access within security, privacy, and compliance boundaries.
Partner with leaders in manufacturing, research and development, service, quality, finance, and other functions to identify business requirements and translate them into analytics products, dashboards, custom applications, integrations, automation, and decision-support solutions.
Oversee the full solution lifecycle from discovery and requirements gathering through architecture, design, development, validation, deployment, adoption, support, maintenance, and retirement; ensure work is delivered on time, within budget, and in accordance with project portfolio and execution standards.
Establish governance for data quality, definitions, lineage, access, security, privacy, documentation, model use, and lifecycle management in partnership with enterprise teams.
Define key performance indicators and measurement frameworks; ensure dashboards and reports provide consistent, trusted, and decision-ready information.
Identify and prioritize high-value opportunities for predictive analytics, machine learning, optimization, and responsible generative AI.
Collaborate with global teams to define standards and processes that support strategic growth, technology standardization, and consistent IT service operations and service delivery; promote reusable solutions and knowledge sharing across the organization.
Communicate analytical findings, business value, technical trade-offs, risks, and recommendations clearly to technical teams, business partners, and senior leaders; act as an advisor on data, analytics, application, and cross-functional technology initiatives.
Manage the team portfolio, vendors, budgets, capacity, dependencies, operational support, technical debt, and delivery risks; balance incoming demand, strategic initiatives, and the reliability of business-critical services.
Promote reusable solutions, self-service analytics, technical standards, continuous improvement, and knowledge sharing across the organization.
Challenge the status quo with relevant industry, commercial, and technology insights while maintaining reliable day-to-day services.
Knowledge and Experience You Should Bring
Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, information systems, business analytics, or a related field, or an equivalent combination of education and relevant experience.
8 or more years of progressive experience in data science, business intelligence, advanced analytics, data engineering, or related information technology disciplines.
2 or more years of formal people leadership or demonstrated experience leading and developing analytics or data teams.
Experience translating ambiguous business needs into prioritized roadmaps, requirements, analytical approaches, and scalable production solutions.
Strong working knowledge of data architecture, dimensional and semantic modeling, data warehouses or lakehouses, integration patterns, ETL/ELT, APIs, metadata, data quality, and governance.
Proficiency with SQL and experience with Python, R, or a comparable analytical programming language.
Experience with business intelligence and visualization platforms such as Microsoft Power BI, or comparable tools, including dashboard design and governed self-service analytics.
Experience with cloud-based data and analytics platforms such as Microsoft Azure, Amazon Web Services, Google Cloud, Databricks, or Snowflake.
Understanding of statistical analysis, forecasting, experimentation, machine learning, model evaluation, and controls needed to deploy and monitor analytical and AI solutions responsibly.
Demonstrated ability to lead cross-functional initiatives, influence without direct authority, manage competing priorities, and communicate effectively with technical and non-technical stakeholders.
Experience managing projects, products, vendors, budgets, and operational support in a complex enterprise environment.
Exceptional Candidates Might Have
Master’s degree in a quantitative, technical, or business discipline.
Experience applying analytics in commercial-vehicle, automotive, manufacturing, supply chain, quality, connected-product, service, or research and development environments.
Hands-on experience with Microsoft Fabric, Azure Data Factory, Databricks, Snowflake, Github, CI/CD, or related modern data-stack capabilities.
Experience establishing data products, semantic models, master data, data catalogs, data lineage, data observability practices, and data and application governance.
Experience with MLOps, model monitoring, responsible AI, generative AI, or natural-language solutions in an enterprise setting.
Knowledge of manufacturing data environments, including manufacturing execution systems, industrial data, telemetry, or product-development data.
Relevant certifications in cloud, data engineering, analytics, project management, agile delivery, or data governance.
Experience leading organizational change, building data literacy, and increasing adoption of standardized products and services.
Leadership Capabilities
Strategic thinker who connects data investments to business value and practical execution.
Inclusive people leader who sets clear expectations, develops talent, and creates accountability and psychological safety.
Customer-focused partner who listens, simplifies complexity, and builds trust through reliable delivery.
Pragmatic technical leader who balances innovation, speed, cost, security, quality, and maintainability.
Compelling communicator who turns analysis into a clear story, recommendation, and call to action.
Enterprise collaborator who aligns local needs with global standards while preserving responsiveness to Detroit business priorities.
What Success Looks Like
Business partners consistently use trusted data products, analytics, custom applications, and automation to make faster, better-informed decisions and operate more effectively.
The portfolio is prioritized against measurable value, adoption, risk, compliance, customer impact, and strategic alignment.
Data definitions, quality, access, governance, and architecture improve while duplicated reports, manual effort, disconnected solutions, and technical debt decline.
The team delivers reliably, grows its technical and business capability, and is recognized as a valued partner across Detroit and the organization.
Advanced analytics, AI, automation, and custom solutions move to responsible production capabilities with clear ownership and outcomes.
Where We Work
This position is open to applicants who can work in (or relocate to) the following location(s)-
Detroit, MI 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.
At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all.
That is what we are working toward - for all who keep the world moving.
U.S. Visa sponsorship available if you qualify under the following:
Hold a valid existing Visa (L1A, L1B, L2, TN, H1B, H4 EAD, OPT EAD, CPT)
Daimler Truck North America employees working under an existing U.S. Daimler Truck North America Visa
Those eligible for a TN Visa (Canadian or Mexican National working in an Engineering, Accounting or Scientific Technologist capacity with an aligning degree)
Those eligible for an L-1 (inter-company) Daimler Truck visa under the Corporate Blanket L-1 program would require at least one-year of qualifying experience in the last three years
Additional Information
Final candidate must successfully complete a criminal background check
Final candidate may be required to successfully complete a pre-employment drug screen
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 North America 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.