Director, Asset Management – Center of Excellence

This is a fully remote position, open to applicants in Florida.

📋 Description

• Formulate and implement the Asset Management AI, data, analytics, and automation strategy tailored to support enterprise growth, enhance EBITDA, improve margins, elevate pricing effectiveness, and generate customer value.

• Oversee the Asset Management Center of Excellence, which focuses on analytics, reporting, fleet intelligence, asset lifecycle optimization, technology enablement, and process automation.

• Collaborate with executive leadership to pinpoint opportunities for revenue enhancement, cost reduction, asset productivity gains, and operational efficiencies.

• Set KPIs, governance structures, and performance measurement frameworks that connect analytics initiatives to financial outcomes.

• Direct pricing strategy and optimization efforts across various asset portfolios.

• Conduct analyses on price elasticity, customer willingness-to-pay, commercial segmentation, dynamic pricing, revenue management, discount management, and promotional effectiveness.

• Propose actions that enhance pricing realization, profitability, and portfolio performance.

• Identify and implement GenAI, predictive analytics, machine learning, optimization models, and AI agent capabilities.

• Lead the development of descriptive, diagnostic, predictive, and prescriptive analytics solutions.

• Transform emerging AI technologies into practical commercial, operational, and financial applications.

• Collaborate with Technology and Data Science teams to transition concepts from pilot phases to large-scale production.

• Leverage customer, market, competitive, operational, and financial data to bolster product strategy, product profitability, and portfolio optimization.

• Examine customer behavior, retention, acquisition, profitability, and lifetime value.

• Generate insights to enhance customer segmentation, cross-selling, upselling, and wallet share growth.

• Assess product portfolio and asset investment strategies based on market demand and financial returns.

• Spearhead enterprise reporting, dashboard creation, and analytical tools to aid executive decision-making.

• Provide actionable insights and translate complex analytics into business implications, financial outcomes, and strategic recommendations.

• Develop scalable reporting frameworks for fleet performance, utilization, profitability, and asset lifecycle management.

• Build, lead, and nurture a high-performing team of analytics, reporting, data, AI, and business intelligence professionals.

• Encourage innovation, continuous improvement, accountability, and business collaboration.

• Influence stakeholders and promote the 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 discipline.

• 7-10 years of progressive leadership experience in analytics, pricing, finance, asset management, commercial strategy, product management, or equivalent business functions.

• Proven track record of leading enterprise analytics initiatives that yielded measurable financial results.

• Experience in managing cross-functional teams and influencing executive stakeholders.

• Strong proficiency with Microsoft Azure, Snowflake, Databricks, Power BI, SQL, Python or equivalent analytical tools, machine learning platforms, Generative AI, 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 formulation, customer and product profitability, cost-to-serve analytics, revenue and demand forecasting, competitive pricing analysis, portfolio optimization, scenario modeling, and sensitivity analysis.

• In-depth knowledge of descriptive, diagnostic, predictive, and prescriptive analytics.

• Strong understanding of AI, machine learning, optimization, and emerging analytics technologies.

• Ability to translate analytical insights into actionable plans and measurable business outcomes.

• Travel required: 0-10%.

• Master's Degree preferred.

• Experience in transportation, logistics, fleet management, leasing, warehousing, distribution, or other asset-intensive sectors preferred.

• Experience leading AI, machine learning, pricing, commercialization, or revenue optimization initiatives preferred.

• Experience in implementing enterprise analytics platforms and modern cloud-based data solutions preferred.

🏝️ Benefits

• Medical insurance.

• Prescription insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Disability insurance options.

• Paid time off for vacation, illness, bereavement, family, and parental leave.

• Tax-advantaged 401(k) retirement savings plan.

• Annual bonus, commission, and/or long-term incentive plan may be available.

• Equal Opportunity Employer and Drug-Free Workplace.