Manager - Strategic Pricing
Accountabilities Strategic Pricing and Margin Optimization: Refine pricing models, margin guardrails, and pricing corridors across key accounts to protect profitability and strengthen market positioning.
AI and LLM Integration: Lead the evaluation, prototyping, and implementation of Generative AI, LLMs, and Agentic AI workflows using tools such as Gemini, ChatGPT, and Claude to improve pricing analytics and automate repetitive tasks.
Automated Reporting and Insights: Develop AI-powered reporting solutions that draw on QLIK Analytics and Oracle data sources to generate monthly insights, identify revenue leakage and margin anomalies, and uncover growth opportunities across regions and business units.
Value-Based Pricing Solutions: Partner with AI and analytics specialists to develop AI-enabled Price vs. Value Calculators that translate qualitative market intelligence into measurable commercial value and return-on-investment insights.
Commercial and Growth Analytics: Conduct market, cost, and price-realization analyses to support negotiations, strategic planning, and evidence-based commercial decisions.
Pricing Governance and Compliance: Maintain pricing standard operating procedures, enforce approval matrices, conduct periodic compliance audits, and implement controls that ensure consistent execution while managing risk.
Workflow Automation and Digitization: Automate approval documentation, CPQ data validation, compliance checks, and cross-functional approval workflows. Improve pricing master data management and end-to-end price visibility.
Advanced Analytics and Predictive Modeling: Collaborate with technology and analytics teams to develop automated reporting tools, predictive models, and AI-driven solutions that improve efficiency and pricing accuracy.
Documentation and Training: Create and maintain process maps, detailed standard operating procedures, and governance documentation. Deliver training to sales, commercial, and regional pricing teams on new tools, processes, and approval requirements.
Cross-Functional Collaboration: Work closely with IT, regional commercial leaders, factory sales, commercial excellence, and AI Center of Excellence teams to implement pricing initiatives and drive continuous improvement.
Requirements
Education: Bachelor’s or Master’s degree in Data Analytics, Finance, Business Administration, or a related field.
Professional Experience: 8–10 years of relevant experience in strategic pricing, commercial finance, data analytics, or AI-enabled analytics, ideally within global manufacturing, apparel, packaging, or B2B environments.
AI and LLM Expertise: Hands-on experience with Large Language Models, including Gemini API, ChatGPT, and Claude, as well as Agentic AI architectures and prompt engineering.
Business Intelligence Skills: Strong proficiency in BI and analytics platforms such as QLIK Analytics, Power BI, Tableau, and Oracle Analytics Cloud.
Technical and Analytical Capabilities: Advanced Microsoft Excel skills, including financial modeling and scenario analysis, alongside experience with database query languages, Python, or API integrations.
Strategic Pricing Knowledge: Strong understanding of price-volume dynamics, cost-plus and value-based pricing approaches, RFP processes, margin analysis, and root-cause analysis.
Commercial Acumen: Ability to translate complex financial, market, and operational data into practical recommendations that support profitability and commercial growth.
Governance and Process Management: Experience developing pricing controls, standard operating procedures, approval frameworks, and scalable workflows.
Communication and Stakeholder Management: Excellent written and verbal communication skills, with the ability to collaborate effectively across technical, commercial, and regional teams.
Leadership and Continuous Improvement: Ability to drive cross-functional initiatives, support the adoption of new technologies, and train stakeholders on evolving pricing processes and tools.
Benefits
Opportunity to lead strategic pricing initiatives with a strong focus on AI, automation, and advanced analytics.
Exposure to global commercial operations and collaboration with cross-functional and regional stakeholders.
Opportunity to influence pricing strategy, margin performance, governance, and digital transformation.
Professional development through hands-on work with emerging AI technologies and business intelligence platforms.
Salary, healthcare coverage, paid leave, flexible working arrangements, and other benefits were not specified in the available job description and should be confirmed during the recruitment process.
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