Director, Asset Management – Center of Excellence

Stellenbeschreibung:

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. Proficient in leveraging AI, machine learning, and advanced analytics to deliver actionable insights and optimize asset management performance.