Head of Pricing M&E

We have an excellent opportunity for a Head of Pricing for our fast growing Mobility and Experiences (‘M&E’) business reporting into the Director of Commericial Intelligence / Managing Director of Mobility and Experiences.
You will have overall responsibility for designing, monitoring and adapting pricing strategies to optimize the Mobility and Experiences business line revenue and profitability.

Lead teams to provide pricing expertise and analysis to make pricing decisions across all M&E products, clients and distribution regions.
Develop and project-lead research, analysis, and reporting that facilitates assessments of pricing performance and aides in the identification of improvement opportunities and spotlights needs for corrective action.
Coordinate with other teams as a consumer of market trends, competitive intelligence, and sales performance data;
Assess and recommend opportunities for testing new pricing tactics; support Sales team education and roll-out, monitor performance and advise when proven improvements should be implemented more broadly
Lead M&E input into group pricing strategies and projects for bundled product offerings.

Design a framework for monitoring the pricing strategy
Partner with analytics teams to provide analysis on our pricing performance to drive data-driven decision making. Work with various teams to assess the results of regional sales performance and market research teams.
Partner with regional teams in reviewing competitive intelligence.
Provide performance assessments of pricing and recommendations on changes to pricing, pricing strategy and competitive positioning relative to pricing.

Demonstrated experience of working in a matrix structure and collaborate with cross functional teams to influence successful implementation of the strategy
Excellent understanding of how to interpret statistical and financial analysis
Knowledge of data process to manage projects with Analytics team.
Successful in making and informing data-driven decisions
Expert Excel knowledge
Master’s degree in business or other applicable discipline
Power BI or comparable BI software (Tableau, Looker, Qlik, etc)
SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc)