Data Science and Business Intelligence Manager

Daimler Truck North America; Detroit (MI); Presencial; USD 140 000 - 190 000; Tempo integral

Resumo da oferta

Daimler Truck North America is seeking a seasoned Manager of Data Science & Business Intelligence in Detroit to lead a global team delivering scalable data products, analytics, dashboards and custom solutions.

The role defines data strategy, governance, and roadmaps aligned with enterprise priorities, translating business needs into practical data initiatives while ensuring secure, reliable, and high-impact outcomes.

Qualificações

• Bachelor's degree typically required.
• 8 years of relevant experience typically required.
• Leadership of data analytics and BI teams across functions.

Responsabilidades

• Provide forward-thinking leadership to a global team of data and BI professionals.
• Recruit, coach, and manage the data analytics and custom solutions team.
• Define and execute a multi-year data, BI, and solutions strategy and roadmap.
• Oversee data architecture vision, governance, and lifecycle management.
• Collaborate with manufacturing, R&D, service, and finance to translate requirements into analytics products.

Conhecimentos

Leadership

Data analytics

Business intelligence

Data governance

Strategic planning

Formação académica

Bachelor's degree

Descrição da oferta de emprego

Inside the Role

Why Detroit

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.

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.

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.
• 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 sharin

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.