Joint Head of Pricing, Promotions & Analytics

• Help develop, implement, and continuously improve the use of the

.

• Work across the broader BP organization to identify opportunities to leverage the pricing platform's advanced analytics and AI capabilities.
• Partner with Category Management and Merchandising leadership to establish an effective and consistent pricing framework while recognizing differences in customers, markets, brands, and store formats.
• Help translate the capabilities of the pricing system into practical business processes and actionable recommendations for Category Managers and leadership.
• Drive adoption and effective utilization of the pricing system within Merchandising.
• Develop and provide data-driven recommendations for: • Base and everyday pricing
• Promotional pricing
• Markdown and clearance strategies
• Competitive price positioning
• Price zones and geographic pricing
• Price elasticity and customer response
• Margin and sales optimization

• Establish processes for regularly reviewing pricing performance and identifying opportunities for improvement.
• Ensure pricing recommendations balance

.

• Develop clear reporting that allows leadership and Category Managers to understand the expected and actual impact of pricing decisions.
• Measure results and continuously refine pricing strategies based on performance.

• Lead, develop, and mentor a team of

supporting Merchandising.

• Establish priorities for the team based on the most significant sales, margin, inventory, pricing, and customer opportunities.
• Translate large and complex data sets into

.

• Develop analytics around customer behavior, product performance, pricing, promotions, loyalty, inventory, assortment, and store segmentation.
• Identify trends and opportunities that may not be visible through traditional merchandising reporting.
• Leverage advanced analytics and AI capabilities to improve the quality, speed, and predictive nature of merchandising decisions.
• Build analytical capabilities that move the organization beyond simply reporting what happened toward understanding

.

• Create scorecards and measurement tools that clearly demonstrate the financial and operational impact of merchandising decisions.

• Own and continuously develop the

for Merchandising.

• Use customer, sales, demographic, geographic, competitive, operational, loyalty, and store-level data to define meaningful store groups and customer missions.
• Partner with Category Management and Space Planning to ensure assortments, space allocation, pricing, promotions, and inventory strategies reflect the needs of each archetype.
• Help determine which products should be carried by store type and where assortment should expand, contract, or vary.
• Use archetype analytics to help determine appropriate inventory levels and quantities by store.
• Incorporate customer and loyalty behavior into archetype development to better understand who is shopping each type of location and what drives their purchasing decisions.
• Continuously evaluate store performance and refine archetypes as customer behavior and business conditions change.
• Ensure the archetype strategy becomes an

• Partner with the

to ensure merchandising pricing, promotional, customer, and archetype insights support the overall loyalty strategy.

• Use customer and transaction data to identify opportunities for

based on customer behavior, store archetype, geography, category, and shopping mission.

• Help determine when the business should use

to produce the best overall result.

• Evaluate loyalty offers based on incremental sales, margin, trips, basket size, customer engagement, and return on investment.
• Ensure loyalty promotions work in coordination with the overall Merchandising promotional calendar rather than operating as a separate strategy.
• Use the enterprise pricing system and other analytical capabilities, where appropriate, to identify pricing and promotional opportunities that can be activated through EarnifyPro or other loyalty platforms.
• Provide Merchandising leadership and Category Managers with insights into how loyalty customers respond differently to products, pricing, promotions, and categories.
• Partner with Loyalty leadership to identify opportunities to increase

.

• Help ensure the organization understands the interaction between

rather than evaluating each independently.

Merchandising Decision Support

• Serve as a strategic analytics partner to Category Managers and Merchandising leadership.
• Provide Category Managers with fact-based recommendations while ensuring their category expertise, vendor knowledge, and market understanding remain an important part of the decision-making process.
• Identify opportunities to improve sales, margin, turns, inventory productivity, and customer value.
• Support assortment rationalization and SKU productivity analysis.
• Evaluate promotional effectiveness and recommend changes based on incremental sales, margin, customer response, and overall return.
• Develop markdown recommendations designed to efficiently exit discontinued, aged, seasonal, and underperforming inventory.
• Identify opportunities where changes in assortment, pricing, promotion, loyalty offers, or inventory levels could improve category performance.
• Help leadership prioritize opportunities based on potential financial impact and ease of execution.

• Build a highly capable, commercially focused

.

• Develop team members who understand both

.

• Create a culture where analytics leads to action rather than simply producing reports.
• Communicate complex analytical findings in clear business terms that can be understood and acted upon at all levels of the organization.
• Work collaboratively across

, while being willing to challenge existing practices when the data supports a different approach.

• Help create consistency and share learnings across BP brands while recognizing that different brands, customers, and store formats may require different strategies.
• Ensure analytical recommendations consider the impact on the customer and the ability of stores to execute.
• Maintain a strong focus on

.

Qualifications & Experience

• Significant leadership experience in

.

• Demonstrated experience building or leading high-performing analytics or data science teams.
• Strong understanding of retail pricing concepts, including base pricing, promotional pricing, markdown optimization, competitive pricing, and price elasticity.
• Experience implementing, developing, or optimizing

strongly preferred.

• Experience using advanced analytics, AI, or predictive modeling to support retail pricing and merchandising decisions.
• Experience with store segmentation, clustering, archetypes, assortment analytics, or localized merchandising strongly preferred.
• Understanding of retail loyalty programs, customer segmentation, personalization, and targeted promotional strategies.
• Strong financial and commercial understanding with the ability to connect analytical recommendations to sales, margin, inventory, customer behavior, and profitability.
• Proven ability to turn complex analytical findings into practical business recommendations.
• Strong communication and influencing skills with the ability to work effectively across multiple brands and with senior leadership, Category Managers, Operations, Loyalty, and other cross-functional partners.

Measures of Success

Success in this role will ultimately be measured by the ability to use pricing, analytics, customer insights, and store archetypes to produce measurable business results, including:

• Successful implementation, adoption, and continued development of the

• Improved sales and gross margin performance
• More effective base and promotional pricing
• Improved promotional ROI
• Faster and more effective markdown execution
• Improved inventory productivity and turns
• Better localized assortments and inventory levels
• Improved in-stock performance
• Reduced unproductive and aged inventory
• Increased adoption of data-driven decision making across Merchandising
• Effective execution and continued development of the Store Archetype Strategy
• Increased effectiveness and ROI of merchandising-related loyalty offers
• Growth in loyalty-driven trips, transactions, basket size, and incremental sales
• Improved coordination between

• Increased use of customer and loyalty insights in merchandising decisions
• Increased sharing of pricing insights, capabilities, and best practices across BP brands