Manager, Pricing Ops & Transformation

Volvo Group•Greensboro, NC

1d•$111,100 - $137,200

About The Position

The Manager, Pricing Operations & Transformation is a hands-on working leader responsible for improving current aftermarket-parts pricing execution and building a future pricing operating model. The role combines pricing and business expertise with analytical problem-solving, pricing technology implementation, systems integration, and practical adoption of AI-assisted workflows. The manager works directly with pricing problems, data, systems, processes, and tools while leading Pricing Analysts supporting Dealers and Fleets in North America and other markets, including Mexico and Latin America. The role serves as the pricing-business lead for an aftermarket-parts pricing tool implementation and related integrations. It partners across Pricing, Product Management, Sales, Supply Chain, Finance, IT, and implementation teams to define requirements, design processes, test and validate data, prepare users, deploy workflows, and improve the platform. It also provides hands-on support for complex pricing questions and exceptions, develops analysts, and contributes directly to fleet and export pricing, deal analysis, margin and concession analysis, and root-cause resolution. The manager builds analytical models and turns pricing outcomes into commercial recommendations, while guiding the responsible use of AI assistants in pricing workflows. The role develops repeatable AI use cases and training, establishes appropriate review and decision controls, and helps shift team capacity from repetitive execution toward strategic pricing, analytics, customer segmentation, and decision support. Success is measured through implementation and adoption, pricing-support effectiveness, fleet pricing outcomes, price realization and margin impact, AI use-case value, and increased capacity for strategic work.

Requirements

Bachelor’s degree in Business, Engineering, Economics, Finance, Data/Analytics, or a related field.
At least 5 years of experience in pricing, revenue management, commercial analytics, business analytics, product management, or related commercial roles.
Ability to perform hands-on pricing and business analysis and turn findings into decisions with measurable commercial impact.
Experience participating in or leading a pricing, ERP, CRM, analytics, or other enterprise-system implementation, including requirements, testing, deployment, adoption, or training.
Experience leading people, projects, or cross-functional workstreams.
Demonstrated practical use of AI tools in business workflows, with examples of improving analysis, decision support, productivity, training, or process quality.
Strong business acumen and ability to connect pricing decisions to customer value, growth, revenue, margin, and competitive position.
Advanced analytical and problem-solving skills, including the ability to structure recommendations from raw data and ambiguous issues.
Working knowledge of pricing methods including segmentation, price architecture, price realization, elasticity, discount/concession analysis, margin waterfalls, and scenario modeling.
Experience with pricing or analytics platforms, BI tools, ERP systems, and advanced Excel.
Practical AI fluency: ability to identify valuable use cases, test AI-assisted approaches, critically evaluate outputs, and teach responsible use in business decisions.
Change-leadership and training capability, including user adoption, facilitation, coaching, job aids, and post-launch reinforcement.
Clear communication and stakeholder-management skills across commercial, technical, and leadership audiences.
Curiosity, thoughtful questioning, openness to new ideas, and willingness to learn and grow as the role evolves.

Nice To Haves

MBA or a relevant advanced degree.
Aftermarket or B2B experience.
Experience in the trucking, automotive, or a related industry, with understanding of dealer and fleet channels.
Export or multi-market pricing experience.
Experience with pricing platforms such as Vendavo, PROS, or Zilliant; BI tools such as Power BI or Tableau; ERP such as SAP; and advanced Excel.
Conversational Spanish.
Experience applying Volvo Performance System (VPS), Operational Excellence (OpEx), or another process-improvement methodology.

Responsibilities

Serve as the pricing-business lead for a pricing-tool implementation, translating pricing requirements into workflows, rules, decision logic, and user needs.
Partner with Pricing, Product Management, Sales, Supply Chain, Finance, IT, and implementation partners on requirements, process design, testing, data validation, integration readiness, deployment, stabilization, and continuous improvement.
Identify data, workflow, ownership, and control gaps between the pricing platform and adjacent business processes and systems.
Lead user-readiness activities, including role-based training, job aids, use-case demonstrations, adoption routines, and post-launch coaching.
Ensure technology changes simplify work and improve decision quality rather than reproducing inefficient manual processes.
Provide hands-on support and act as a senior escalation point for complex pricing questions and exceptions.
Guide and develop Pricing Analysts while personally contributing to problem-solving, root-cause analysis, issue resolution, and process improvement.
Partner with Pricing Analysts on fleet pricing architecture, deal analysis, concessions, margin impact, competitive positioning, and scalable approaches for strategic accounts.
Provide leadership and analytical support for the Export Pricing Analyst covering Latin America, developing consistent pricing logic while accounting for market and channel differences.
Escalate systemic pricing issues and convert recurring problems into process, data, governance, training, or system improvements.
Build business cases and analytical models connecting price actions to revenue, gross margin, volume, mix, customer behavior, and competitive position.
Analyze price realization, margin leakage, concessions, elasticity, fleet performance, exceptions, and other outcomes to identify actions.
Translate complex data into clear commercial recommendations for Product Management, Sales, Finance, and leadership.
Balance commercial growth, customer value, profitability, and operational feasibility when recommending pricing actions.
Use BI, pricing, ERP, and other analytical tools to investigate issues and support evidence-based decisions.
Identify, demonstrate, and scale practical AI-enabled pricing use cases.
Guide the pricing team and adjacent teams in using AI assistants embedded in the future pricing platform to accelerate analysis, surface insights, support recommendations, and reduce repetitive work.
Define human review, decision controls, data-quality expectations, and escalation paths for AI-assisted recommendations.
Create reusable AI use cases, examples, prompts or workflows where applicable, and training content to support repeatable business value.
Help redesign roles and routines as automation and AI reduce transactional work, increasing capacity for strategic pricing, analytics, customer segmentation, and commercial decision support.
Set priorities and develop people while contributing directly to analysis, implementation, issue resolution, and strategic pricing work.
Build analytical, commercial, systems, and AI fluency across the pricing team through coaching and practical application.
Partner with Product Management, Sales, Finance, IT, and adjacent teams to align pricing decisions, processes, and technology.
Influence senior stakeholders with concise, data-backed recommendations and clear trade-offs.