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Enrico Sieni

Consulting Partner - Pricing Strategy

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About Enrico

Enrico is a Consulting Partner for Revology and the founder of Pricing Lever LLC, a consultancy dedicated to partnering with organizations to drive transformative growth through strategic pricing and product management. With a global career that spans multiple industries and continents, Enrico has consistently demonstrated his ability to elevate essential business functions, including financial planning, pricing strategy, and analytics, to new heights of performance.

Throughout his career, Enrico has been recognized as a change agent. He is adept at developing and executing comprehensive business strategies that align cross-functional teams toward shared objectives. His expertise is maximizing revenues and profitability, particularly in highly competitive markets, by leveraging best practices in business strategy, data analytics, and operational excellence.

Enrico’s leadership is characterized by his ability to build, train, and optimize high-functioning teams. He fosters a culture of accountability, professional development, and collaboration, ensuring that his teams are equipped to deliver exceptional results. His extensive experience includes senior executive roles at MSC Industrial Supply Co., Berry Plastics Corporation, and HB Fuller, where he led significant initiatives that substantially improved profitability and operational efficiency.

Enrico’s core strengths include:

  • Executive Leadership: Proven track record in building and scaling pricing teams, sustaining industry-leading gross margins, and navigating complex pricing challenges, including tariff implementations and hyperinflation.

  • Strategic Planning & Analytics: Expertise in developing and executing strategic pricing initiatives that drive substantial EBITDA improvements and ensure alignment with global financial targets.

  • Process Reengineering & Change Management: Led transformations in FP&A functions, standardized data governance across global operations, and delivering enhanced customer service while optimizing operational efficiency.

Education

University of Bath
BSc Honours, Business Administration

Certifications & Continued Education

  • Lean Six Sigma Master Black Belt

Organizations

  • Professional Pricing Society
  • Jack Welch Management Institute (Training Contributor)

Recent Articles

Pricing Intelligence Engine

Rebuilding Pricing and Promotion Analytics for a Global Data-Storage OEM

April 21, 2026

A Fortune 500 global data-storage OEM was bleeding margin in its $200M U.S. B2C hard-drive business. One flagship family had taken a substantial net-pricing hit year-over-year, and roughly 45% of historical promos were returning only 0 to 20% ROI. Revology rebuilt the pricing and promotion analytics from the ground up using causal Double Machine Learning, a retailer-math ROI model, and a three-archetype segmentation framework. The target: $3M to $6M of incremental EBITDA (a 10x to 20x return on the engagement) within 12 months.

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Project APEX Pricing Power

Unlocking Pricing Power for a Global Pharmaceutical Manufacturer in Emerging Markets

April 21, 2026

A Fortune 500 global pharmaceutical manufacturer was making emerging-market pricing decisions by feel. We built a repeatable Pricing Quick Wins engine across four pilot markets, grounded in causal elasticity modeling, automated competitive equivalence mapping, and price-pack architecture and inflation-aware simulators. The pilots identified around $8M of median revenue opportunity, with a best-case of ~$12M. Local teams now own the engine and can repeat the analysis annually as inflation and the competitive set shift.

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Automated RGM Engine

Operationalizing Revenue Growth Management Analytics for a Leading Plant-Based Creamer Brand

April 21, 2026

A leading plant-based creamer brand wanted real visibility into more than $13 million of annual trade spend and a credible way to forecast promo ROI before writing checks. We built the Revenue Growth Management analytics engine for them in Python and Power BI, running on their existing stack. The team now refreshes pricing, promo, and revenue/gross profit performance deep dive models in 10 to 20 minutes and catches variance the old process missed by weeks.

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