Pricing Optimization Tool – Business Owner

Lulu center - Sole Proprietorship LLC; Abu Dhabi; On-site; AED 1,200,000 - 1,800,000; Full time

Job summary

Lulu center - Sole Proprietorship LLC is seeking a senior Price Optimization Lead in Abu Dhabi to own and optimize pricing platforms across offline and online channels. You will ensure data integrity, run scenario analyses, and drive pricing governance with regional teams.

The role requires 6–10 years in pricing analytics, a quantitative degree, and deep experience with optimization tools and SQL; CPP certification is a plus. The position is on-site in the UAE with global pricing collaboration.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Hands-on experience operating, configuring, or administering a price optimization platform or related tool.
• 6-10 years of experience in pricing analytics, revenue optimization, or related field.
• Professional certifications in pricing or analytics (e.g., CPP) are advantageous.
• Experience in retail, FMCG, or omnichannel e-commerce is preferred.

Responsibilities

• Own end-to-end operation of the central price optimization software and ensure data integrity.
• Design and analyse pricing experiments; measure impact on volume, revenue and margin.
• Develop and execute pricing strategies across everyday pricing, promotions, markdowns, and new product introductions.
• Collaborate with Category Finance and Commercial Operations to operationalize pricing decisions.
• Create dashboards and present pricing insights to senior leadership.

Skills

Advanced Excel

SQL

Python/R

Education

Bachelor's degree in Finance, Business Analytics, Statistics, Mathematics, Engineering, Computer Science, or related quantitative field

Tools

Pricing Platforms

SQL Databases

Python or R

Job description

Price Optimization Platform Ownership

Own end-to-end operation of the central price optimization software e g Impact Analytics Revionics Vendavo PROS DemandTec BlueYonder TCS Optumera Yieldigo Pricefx or similar including creation and maintenance of price plans business rules elasticity inputs scenario analysis optimization objectives Be the Super user for the pricing tool Conduct regular audits of optimization model outputs identify anomalies data gaps or model drift and recalibrate parameters in response to market and seasonal changes Configure and maintain zone-based channel-specific and SKU-level pricing structures across offline and online channels ensuring omnichannel price consistency where required Manage integration of the pricing tool with competitor intelligence feeds ERP systems e g SAP Vistex and BI platforms partnering with data engineering teams to ensure clean complete data flows

start 2 Data Analysis

Pricing Scenario Modelling Commercial Execution Design and analyse A B pricing experiments and test-and-control frameworks to measure the causal impact of price interventions on volume revenue and margin and translate findings into iterative refinements Perform price sensitivity and cross-elasticity analysis at the category subcategory and SKU level to identify opportunities for range restructuring and price architecture optimization Support development and execution of pricing strategies across everyday pricing promotions markdowns clearance and new product introductions NPI Partner with Category Finance and Commercial Operations teams to operationalize pricing decisions maintain guardrails and ensure adherence to centralized governance rules

start 3 Reporting

Documentation Training Stakeholder Communication Produce regular pricing performance dashboards monthly covering price index vs competitors margin realization optimization adoption rates and KPI tracking Prepare executive-level presentations that synthesize pricing insights highlight risks and opportunities and communicate clear recommendations to senior leadership Track and report on the commercial impact of pricing actions taken feeding learnings back into the optimization model and pricing strategy Document pricing SOPs system configurations pricing rules regional pricing rule differences and model assumptions to enable knowledge transfer onboarding and audit readiness Create end user training materials and train regional teams on the pricing tools pricing methodology and CI platforms Act as a point of escalation and SME for pricing tool queries across the business liaise with vendor support teams on technical issues as needed

Education and Experience

• Bachelor's degree (required) in Finance, Business Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. Master's degree or MBA is advantageous.
• Hands-on experience operating, configuring, or administering a price optimization platform (listed above); candidates with adjacent tool experience and strong aptitude to learn are also considered.
• 6 -10 years of experience in pricing analysis, revenue optimization, commercial analytics, or a related field with a demonstrable exposure to the end-to-end pricing lifecycle.
• Professional certifications in pricing (e.g., Certified Pricing Professional – CPP), data analytics, or revenue management.
• Prior experience in retail, FMCG, consumer goods, or omnichannel e-commerce environments is strongly preferred.
• Track record of using pricing data to influence commercial decisions and drive measurable margin or revenue outcomes.

Technical Skills

• Pricing & Optimization Software: Worked on the platforms listed above or comparable enterprise pricing platforms.
• Advanced Excel (required): Complex formulas, PivotTables, scenario modelling, and financial models.
• SQL (strongly preferred): ability to write and optimize queries for data extraction, transformation, and analysis from relational databases (e.g., Snowflake, BigQuery, SQL Server, Teradata).
• Python or R (advantageous): experience with pandas, NumPy, or statistical/ML libraries for demand modelling, elasticity analysis, or pricing automation is a significant differentiator.

Other Skills

• Strong quantitative and problem-solving ability with high attention to precision and data integrity.
• Demonstrated ability to build pricing and elasticity models, design A/B pricing experiments
• Commercial instinct: capable of connecting analytical findings to business strategy and communicating the 'so what' clearly to non-technical audiences.
• Understanding of core pricing methodologies including cost-plus, value-based, competitive, dynamic, and psychological pricing principles.
• Collaborative mindset with a genuine desire to build pricing capability in.