About the role
Job Family Group: Marketing Group
Job Description:
The
Head of Pricing & Data Analytics – Merchandising
is responsible for building and leading the pricing and analytics capabilities that support the Merchandising organization across
BP and TA brands
. This role will use data, analytics, competitive intelligence, customer insights, and advanced pricing technology to improve sales, margin, inventory productivity, and the overall customer value proposition.
The position will play a key leadership role in helping
develop, implement, and expand the use of BP's enterprise pricing tool/system across its brands
. This includes partnering with Merchandising, Pricing, Operations, Loyalty, and other key stakeholders to determine how the platform can best support the business and ensuring its capabilities translate into practical, actionable pricing recommendations.
This leader will manage a team of
data scientists and analytics professionals
responsible for turning complex data into clear, actionable recommendations. The team will provide insights and recommendations across all merchandise categories, including
base pricing, promotional pricing, markdowns, competitive positioning, assortment, inventory, and other sales and margin opportunities
.
The role will also own and manage the
Store Archetype Strategy
, ensuring merchandising decisions reflect the different customers, missions, sales opportunities, and operating environments across the store network.
Additionally, this leader will ensure that pricing, promotional, customer, and store archetype insights effectively support
EarnifyPro and other loyalty programs
as part of the overall Merchandising strategy. The role will partner with Loyalty and other key stakeholders to help develop more relevant offers, increase customer engagement, and ensure loyalty strategies complement the broader pricing and promotional strategy.
The overarching objective is to use
data, analytics, pricing technology, and customer insights
to help put the right products, in the right stores, at the right price, in the right quantities, with the right offers for the right customers.
Key Responsibilities
Enterprise Pricing Strategy & Pricing System
Help develop, implement, and continuously improve the use of the
enterprise pricing tool/system across BP and TA brands
.
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
customer value, competitive position, sales growth, margin, and long-term category health
.
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.
Data Science & Advanced Analytics
Lead, develop, and mentor a team of
data scientists and analytics professionals
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
practical recommendations that Category Managers and business leaders can act upon
.
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
why it happened, what is likely to happen next, and what actions should be taken
.
Create scorecards and measurement tools that clearly demonstrate the financial and operational impact of merchandising decisions.
Store Archetype Strategy
Own and continuously develop the
Store Archetype Strategy
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
actionable merchandising tool rather than simply a store classification exercise
.
Loyalty & EarnifyPro Integration
Partner with the
EarnifyPro and broader loyalty teams
to ensure merchandising pricing, promotional, customer, and archetype insights support the overall loyalty strategy.
Use customer and transaction data to identify opportunities for
targeted and personalized offers
based on customer behavior, store archetype, geography, category, and shopping mission.
Help determine when the business should use
base price, broad-based promotions, loyalty-specific offers, or targeted customer offers
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
frequency, retention, cross-category purchasing, and overall customer value
.
Help ensure the organization understands the interaction between
pricing, promotions, loyalty, and customer behavior
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.
Leadership Expectations
Build a highly capable, commercially focused
pricing and analytics organization
.
Develop team members who understand both
data science and the practical realities of retail merchandising
.
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
BP, TA, Merchandising, Operations, Loyalty, and other key functions
, 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
practical, scalable solutions that produce measurable business results
.
Qualifications & Experience
Significant leadership experience in
retail pricing, merchandising analytics, data science, category analytics, or a related discipline
.
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
enterprise retail pricing and analytics platforms
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
enterprise pricing tool/system across BP and TA brands
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
base pricing, promotions, markdowns, and loyalty offers
Increased use of customer and loyalty insights in merchandising decisions
Increased sharing of pricing insights, capabilities, and best practices across BP brands
Why Join Us?
We’re committed to supporting leaders who want to make an impact. You’ll have the chance to shape and influence outcomes across businesses. You’ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters.
We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive. Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that.
Travel Requirement:
Up to 50% travel should be expected with this role
Relocation Assistance:
This role is eligible for relocation within country
Remote Type:
This position is a hybrid of office/remote working
Skills:
.


Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please
contact us
.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.