Manager - Strategic Pricing

Avery Dennison

About The Position

The Pricing Analyst plays a critical role in driving strategic pricing execution, margin optimization, governance, and pricing automation across the Avery Dennison Apparel Solutions Group. Reporting to the Senior Pricing Manager in India, this role combines strong strategic pricing expertise with advanced competencies in Large Language Models (LLMs) and Agentic AI to accelerate capability building and maximize pricing output and efficiency.

Requirements

Bachelor’s or Master’s degree in Data Analytics, Finance, or Business Administration.
8-10 years of professional experience in strategic pricing, commercial finance, or data/AI analytics within global manufacturing, apparel, packaging, or B2B environments.
Hands-on expertise with LLMs (Gemini API, ChatGPT, Claude), Agentic AI architectures, and prompt engineering.
Strong proficiency in Business Intelligence tools: QLIK Analytics, Power BI, Tableau, and Oracle Analytics Cloud.
Advanced Microsoft Excel capabilities (financial modeling, scenario analysis) and experience with database query language or Python/API integrations.
Strong understanding of price-volume dynamics, cost-plus vs. value-based pricing, RFP mechanics, and root-cause analysis.
Exceptional collaboration and communication skills to interface effectively across cross-functional teams (IT, Regional Commercial Leaders, Factory Sales, Commercial Excellence, AI CoE).

Responsibilities

Lead the evaluation, prototyping, and integration of Generative AI, LLMs (Gemini, ChatGPT, Claude), and Agentic AI workflows to enhance pricing decision-making and automate routine analytics.
Develop and deploy AI tools to automatically generate monthly insight reports for key RBOs and regions directly from QLIK Analytics and Oracle data lakes, highlighting revenue leakage, margin outliers, and growth opportunities.
Collaborate with the AI Center of Excellence (AICOE) to construct AI-enabled Price vs. Value Calculators, converting qualitative market intelligence (e.g., Clue data) into quantifiable commercial metrics and ROI positioning.
Automate pricing governance and audit frameworks by leveraging AI for email approval archiving, CPQ data validation, and automated compliance checks.
Optimize price setting models, margin guardrails, and pricing corridors across key accounts to safeguard profitability and strengthen market positioning.
Conduct deep-dive market and cost analyses, track price realization, and deliver data-backed insights to support commercial negotiations and strategic decision-making.
Maintain standard operating procedures, enforce approval matrices across product lines, and perform periodic compliance audits to balance operational speed with risk management.
Design scalable workflows for new pricing initiatives and implement controls to ensure the pricing processes are being followed.
Digitize master pricing data, streamline cross-functional approval workflows, and drive end-to-end price visibility from strategy to execution.
Partner with analytics and technology teams to develop automated reporting tools, AI-driven value calculators, and predictive models that enhance pricing efficiency.
Create and maintain detailed Standard Operating Procedures (SOPs) and process maps for the team.
Lead training sessions for sales, commercial, and regional pricing teams on new tools, processes, and updated approval workflows.