UAE natioanl_Head of Pricing | Al Futtaim Finance | Financial Services Rental & Leasing
- دبي
- دائم
- دوام كامل
- Development and Implement Pricing Strategies: Lead the finance methodology development and execution of pricing strategies developed by the business for lending and leasing products, ensuring competitiveness and profitability.
- Identify and utilize data science (MS Azure, ML Studio, R, Phyton) and data engineering (Alteryz, SQL) to improve efficiencies, improve cost and increase profit margins.
- Design and deliver the next generation of transformative analytics and artificial intelligence technological solutions to address key business challenges and opportunities.
- Utilize advanced statistical and econometric models to forecast demand, assess market conditions, and set optimal pricing levels.
- Interpret outputs of statistical models and results; translate input from quantitative analyses into specific and actionable business recommendations contributing to a competitive advantage.
- Implement AI and machine learning algorithms to enhance pricing accuracy, identify trends, and automate pricing processes.
- Work closely with sales, marketing, finance, and operations teams to align pricing strategies with business objectives.
- Continuously monitor pricing performance, analyze key metrics, and make data-driven adjustments to optimize results.
- Ensure all pricing practices comply with relevant regulations and industry standards.
- Work with Business Units to develop and implement new and more effective pricing techniques, technologies and processes to increase revenue and customer loyalty.
- Create tactical analysis and market competitor intelligence to enable business heads to make to inform strategic decision-making.
- Conduct thorough market analysis to understand industry trends, customer behavior, and competitor pricing.
- Create and update comprehensive industry, competitor and customer models including, but not limited to, market share, growth projections and trends, and market forces.
- Maintains up-to-date knowledge of data sources, evaluating their credibility and potential utility, and leverages them across the company where appropriate.
- Translate data into executable and effective market and intelligence reports focused on standardizing, automating, delivering tools and processes and exploring emerging technologies that drive efficiency.
- Introducing process improvement, transformation, effective use of innovative technology and data & analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value.
- Provide consolidated and timely analysis harnessing multiple data sources to provide the business with an objective insight into current and future performance through regular and ad-hoc reporting through system automation
- Focus on driving commercial results with measurable KPIs.
- Exceptional communication skills, especially around translating technical knowledge into forms that can be digested by leadership and non-technical project teams.
- Excellent analytical and problem-solving skills.
- Highly adaptable with meticulous attention to detail.
- Excellent organization abilities, working agile and result orientated.
- Able to proactively and effectively communicate and influence multiple stakeholders.
- Bachelor's Degree (MBA Preferred) with demonstrated experience in any of the following: - Business Administration, Economics, Financial Services & Banking.
- Minimum 10 years' work experience in a multinational environment. 5+ years of hands-on work experience using analytical tools (e.g., R, Python) to solve real world problems.
- Distinctive expertise in one of the following machine learning / AI areas: natural language processing, deep learning, anomaly detection, graph-based techniques.
- Extensive experience in financial services pricing environment, developing and implementing pricing strategies.
- Experience programming (beyond simple scripts) in a modern scientific language (e.g., Python, Matlab, R) and experience with either TensorFlow, Spark, Java, C#, C++, or C. Knowledge of SQL and SAS would be a plus.