Senior Pricing Manager - Data Science & Market Intelligence

Daimler Truck AG•Fort Mill, SC

5d•$144,000 - $184,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.

Benefits

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