Data Science and Business Intelligence Generalist IV
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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Inside the Role
The Data Scientist and AI Lead is responsible for shaping and advancing the adoption of data, analytics, artificial intelligence, and automation capabilities across OPT. This role serves as both a strategic advisor and technical leader, partnering with senior stakeholders to define priorities, identify opportunities, and enable solutions that drive business transformation, operational excellence, and data-driven decision making.Combining deep expertise in data analytics, business intelligence, AI/ML technologies, and enterprise data governance, this position provides leadership for OPT's AI and analytics strategy while fostering a culture of innovation, continuous learning, and responsible technology adoption.
As the functional lead for AI, automation, and analytics within OPT, this role influences technology direction, mentors and develops organizational capability, and drives cross-functional initiatives that accelerate the transformation of how HR leverages data and intelligent technologies to achieve strategic objectives.
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 DTNA
AI Enablement & Consulting
- Deploy tailored strategies to enable AI and automation in alignment with the OPT long term strategy.
- Collaborate with IT and the Data Intelligence Hub (DIH) to ensure infrastructure readiness and alignment with enterprise architecture.
- Serve as the technical lead for AI platforms and technologies used within OPT, including Microsoft Copilot, Copilot Studio, Snowflake Cortex, and other approved enterprise AI tools.
- Identify opportunities to leverage AI, machine learning, analytics, automation, and business intelligence to enhance productivity, operational efficiency, and decision-making.
- Serve as a trusted advisor to OPT leadership and business teams by translating business needs into practical technology solutions.
Data Analytics
- Lead and grow the OPT team expertise in AI and data analytics tools.
- Foster a culture of curiosity, continuous learning, and innovation within the team and broader organization.
- Establish scalable and sustainable data solutions that enhance data quality, accessibility, and business value.
Community & Culture Activation
- Champion data best practices through facilitating forums, events and knowledge-sharing initiatives.
- Act as a connector across silos, promoting collaboration and shared best practices across departments
- Evangelize the value of data, analytics, and AI through storytelling, training, and executive engagement.
Governance & Best Practices
- Establish, maintain, and communicate standards for self-service analytics, including tool usage, data quality, and solution lifecycle management.
- Guide departments in aligning with governance frameworks and ethical AI practices.
- Partner with the CDO and Legal & Compliance to ensure responsible data use and policy adherence.
- Partner with data engineers, platform owners, application teams, and business stakeholders to integrate AI capabilities within existing technology ecosystems.
Innovation & Thought Leadership
- Stay ahead of emerging trends in data science, CI, AI, and automation to inform strategy and tooling decisions.
- Lead experimentation with advanced analytics, predictive modeling, and AI/ML (GenAI and Agentic) use cases in partnership with the AI/ML Advisory Board.
- Evaluate emerging technologies and guide investment decisions that align innovation with business priorities.
- Stay current on advancements in artificial intelligence, machine learning, generative AI, intelligent agents, automation, cloud technologies, and data platforms.
Project & Program Leadership
- Manage project scope, priorities, dependencies, risks, stakeholder communications, and delivery milestones to ensure successful AI execution.
- Provide technical leadership and direction throughout the solution lifecycle, from concept through implementation and operational support.
Knowledge You Should Bring
- Bachelor’s Degree and 5-7 years of relevant experience, or 8 years of relevant experience in lieu of degree, is required.
- Familiarity with AI/ML concepts, ethical data use, and enterprise data architecture.
Proven experience in problem solving and a constant quest for improvement. - Proven experience leading data analytics and strong understanding of self-service analytics platforms (e.g., Power BI, Tableau, Alteryx, Power Platform, Snowflake) and data governance principles.
- Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business value.
- Strong interpersonal and communication skills; able to build trust, connect people, and inspire action across all levels of the organization.
- An attached resume is required.
Exceptional Candidates Might Have
- Demonstrated ability to coach and upskill others in data literacy, visualization, automation, data engineering, business intelligence and AI/ML.
- Experience with strategic planning, portfolio management, and cross-functional program delivery.
- Acts as an advisor to management and key external stakeholders on broad ranging projects
- PM certification or previous experience leading cross functional projects
Where We Work
This position is open to applicants who can work in (or relocate to) the following location(s)-
Portland, OR 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.
Additional Information
- This position is not open for Visa sponsorship or to existing Visa holders
- Applicants must be legally authorized to work permanently in the country the position is located in at the time of application
- 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.
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