Senior Pricing Manager - Data Science & Market Intelligence

Inside the Role

Pricing Manager - Data Science & Market Intelligence leads the development of data-driven pricing strategies, and market insights for Daimler Truck North America’s Aftermarket Parts. This role manages a team responsible for pricing optimization, statistical analysis to management portfolio performance, developing predictive parts price modeling, leveraging agentic AI agents and machine learning, competitive intelligence including 3rd party trends, and the creation of analytics tools that support profitability, customer value, and operational excellence. The manager partners across Sales, Pricing, Marketing, Product Management, IT, Engineering, Finance, and Supply Chain to deliver actionable insights and ensure alignment with business priorities.

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

Position offers a starting salary range of $144,000 - $184,000 USD 

Pay offered dependent on knowledge, skills, and experience​. Benefits include annual variable pay bonus program; eligible for the use of a company vehicle; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age.; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive health care plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans. 

What You Drive at DTNA

• Own the development, enhancement, and governance of pricing strategy across aftermarket parts, and customer segments.
• Analyze competitive pricing data, market trends, cost structures, and customer behavior to identify pricing risks, opportunities, and white-space growth.
• Lead scenario modeling and pricing simulations to evaluate trade-offs between margin, volume, customer lifetime value, and competitive positioning.
• Drive continuous improvement in pricing logic, governance, tools, and target price optimization.
• Leverage 3rd-party datasets (ITC, MacKay, etc.) as strategic inputs into competitive and market pricing models.
• Translate complex findings into clear, compelling recommendations for senior leadership.
• Develop and deploy machine learning models, optimization algorithms, and agentic AI solutions to improve price position and portfolio profitability.
• Build new predictive models, statistical frameworks, and analytical methodologies for pricing elasticity, for product and customer segmentation.
• Manage development of data pipelines, data governance standards, and integration of structured/unstructured datasets.
• Oversee creation of dashboards, visualizations, and BI tools that simplify complex relationships and enable data-driven decision making for non-technical audiences.
• Build reporting infrastructure that connects cross-functional datasets, improves insight availability, and enhances pricing transparency.
• Partner with Analytics and IT teams on prioritizing Snowflake, Tableau, and visualization enhancements.
• Lead, coach, hire, and develop a team of data scientists, analysts, and pricing professionals.
• Partner with Sales, Marketing, Product, IT, Engineering, Finance, Supply Chain, and executive stakeholders to align insights with business priorities.
• Proactively manage project risks, unblock issues, and ensure high-quality delivery across multiple concurrent initiatives.
• Foster a culture of analytical rigor, collaboration, innovation, and continuous improvement.

Knowledge You Should Bring

• Bachelor’s degree in Data Science, Business, Economics, Finance, Engineering, Mathematics, Computer Science, Statistics, or related field; Master’s degree or MBA preferred.
• 4+ years of experience in pricing, market intelligence, commercial analytics, data science, or revenue management; aftermarket or automotive industry experience strongly preferred.
• 2+ years of people-leadership experience managing data scientists, analysts, or pricing professionals.
• Proven experience developing predictive models using Python, R, or similar languages.
• Hands-on experience with machine learning libraries (e.g., scikit-learn, MLlib), statistical modeling, and large-scale data environments (SQL, HANA, Hadoop, Snowflake).
• Strong quantitative and analytical skills with ability to manipulate complex, high-volume datasets.
• Advanced proficiency in Excel and Tableau; experience with BI and visualization best practices.
• Strong communication and storytelling skills; capable of explaining technical insights to senior leaders in a clear and actionable manner.
• Demonstrated ability to lead cross-functional projects, influence without authority, and drive strategic impact.

Exceptional Candidates Might Have

The ideal candidate is a strategic, analytically minded professional who thrives in cross-functional environments. They are comfortable navigating ambiguity, influencing without authority, and leading teams to deliver measurable business impact.

#LI-TN1 #LI-Hybrid

Where We Work

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

Fort Mill, SC US. Relocation assistance for this position is available when the selected candidate meets eligibility criteria.

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.