Director, Asset Management – Center of Excellence

• Develop and execute the Asset Management AI, data, analytics, and automation strategy aligned with enterprise growth, EBITDA expansion, margin improvement, pricing effectiveness, and customer value creation
• Lead the Asset Management Center of Excellence responsible for analytics, reporting, fleet intelligence, asset lifecycle optimization, technology enablement, and process automation
• Partner with executive leadership to identify opportunities for revenue growth, cost reduction, asset productivity improvements, and operational efficiencies
• Establish KPIs, governance models, and performance measurement frameworks connecting analytics initiatives to financial outcomes
• Lead pricing strategy and optimization initiatives across asset portfolios
• Drive analysis of price elasticity, customer willingness-to-pay, commercial segmentation, dynamic pricing, revenue management, discount management, and promotional effectiveness
• Recommend actions that improve pricing realization, profitability, and portfolio performance
• Identify and deploy GenAI, predictive analytics, machine learning, optimization models, and AI agent capabilities
• Lead descriptive, diagnostic, predictive, and prescriptive analytics solutions
• Translate emerging AI technologies into commercial, operational, and financial applications
• Partner with Technology and Data Science teams to move concepts from pilot to production at scale
• Use customer, market, competitive, operational, and financial data to support product strategy, product profitability, and portfolio optimization
• Analyze customer behavior, retention, acquisition, profitability, and lifetime value
• Develop insights to improve customer segmentation, cross-sell, upsell, and wallet share growth
• Evaluate product portfolio and asset investment strategies based on market demand and financial returns
• Lead enterprise reporting, dashboard development, and analytical tools for executive decision-making
• Deliver actionable insights and translate complex analytics into business implications, financial outcomes, and strategic recommendations
• Build scalable reporting frameworks for fleet performance, utilization, profitability, and asset lifecycle management
• Build, lead, and develop a high-performing team of analytics, reporting, data, AI, and business intelligence professionals
• Foster innovation, continuous improvement, accountability, and business partnership
• Influence stakeholders and drive adoption of data-driven decision-making practices

Requirements

• Bachelor's Degree in Business Administration, Finance, Accounting, Economics, Data Analytics, Engineering, Computer Science, or a related field
• 7-10 years of progressive leadership experience in analytics, pricing, finance, asset management, commercial strategy, product management, or related business functions
• Demonstrated experience leading enterprise analytics initiatives that generated measurable financial results
• Experience managing cross-functional teams and influencing executive stakeholders
• Strong experience with Microsoft Azure, Snowflake, Databricks, Power BI, SQL, Python or equivalent analytical tools, machine learning platforms, Generative AI and AI Agent frameworks, and enterprise data and analytics architecture
• Demonstrated expertise in revenue growth strategies, gross margin and contribution margin analysis, EBITDA improvement initiatives, ROI development and business case creation, customer and product profitability, cost-to-serve analytics, revenue and demand forecasting, competitive pricing analysis, portfolio optimization, scenario modeling and sensitivity analysis
• Deep expertise in descriptive, diagnostic, predictive, and prescriptive analytics
• Strong understanding of AI, machine learning, optimization, and emerging analytics technologies
• Ability to convert analytical insights into practical action plans and measurable business outcomes
• Travel required: 0-10%
• Master's Degree preferred
• Experience within transportation, logistics, fleet management, leasing, warehousing, distribution, or other asset-intensive industries preferred
• Experience leading AI, machine learning, pricing, commercialization, or revenue optimization initiatives preferred
• Experience implementing enterprise analytics platforms and modern cloud-based data solutions preferred

Core Competencies

Demonstrates expertise in developing and executing analytics strategies that drive revenue growth, cost reduction, and operational efficiencies. xayajpt Proficient in leveraging AI, machine learning, and advanced analytics to deliver actionable insights and optimize asset management performance.

Highest-signal resume keywords

• Enterprise Analytics Leadership
• Revenue Growth Strategies
• Machine Learning Expertise
• Pricing Strategy Optimization
• Cross-Functional Team Management

Hard Skills

• Data Analytics
• Predictive Analytics
• Prescriptive Analytics
• Financial Analysis
• Portfolio Optimization
• Scenario Modeling
• Sensitivity Analysis
• Cost-to-Serve Analytics
• Customer Profitability Analysis
• Dynamic Pricing

Soft Skills

• Stakeholder Influence
• Team Leadership
• Continuous Improvement
• Business Partnership
• Innovation

Certifications & Qualifications

• Bachelor's Degree
• Master's Degree Preferred

Industry Keywords

• Asset Management
• Transportation
• Logistics
• Fleet Management
• Leasing
• Warehousing
• Distribution
• Asset-Intensive Industries

Tools & Technologies

• Microsoft Azure
• Snowflake
• Databricks
• Power BI
• SQL
• Python
• Generative AI
• AI Agent Frameworks
• Enterprise Data Architecture
• Analytical Tools