Director Jobs

About The Position

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, 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.
• Strategic thinker with strong commercial and financial orientation.
• Proven ability to translate analytics into business decisions and financial value.
• Exceptional executive communication and presentation skills.
• Ability to influence senior leaders across Finance, Pricing, Product, Operations, Sales, Marketing, Technology, and Data Science.
• Strong organizational and project leadership skills.
• Self-driven, highly adaptable, and capable of operating effectively in fast-paced environments.
• 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.

Nice To Haves

• Master's Degree (MBA, Analytics, Data Science, Economics, or related discipline).
• Experience within transportation, logistics, fleet management, leasing, warehousing, distribution, or other asset-intensive industries.
• Experience leading AI, machine learning, pricing, commercialization, or revenue optimization initiatives.
• Experience implementing enterprise analytics platforms and modern cloud-based data solutions.

Responsibilities

• 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 that directly connect analytics initiatives to financial outcomes.
• Lead pricing strategy and optimization initiatives across asset portfolios.
• Drive analytical approaches related to 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 overall portfolio performance.
• Identify and deploy GenAI, predictive analytics, machine learning, optimization models, and AI agent capabilities that create measurable business value.
• Lead development of descriptive, diagnostic, predictive, and prescriptive analytics solutions.
• Translate emerging AI technologies into practical commercial, operational, and financial applications.
• Partner with Technology and Data Science teams to move concepts from pilot to production at scale.
• Utilize 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 to influence commercial strategy.
• Develop analytical insights that improve customer segmentation, cross-sell opportunities, upsell opportunities, and overall wallet share growth.
• Evaluate and recommend product portfolio and asset investment strategies based on market demand and financial returns.
• Lead enterprise reporting, dashboard development, and analytical tools that support executive decision making.
• Deliver actionable insights to senior leadership, translating complex analytics into business implications, financial outcomes, and strategic recommendations.
• Build scalable reporting frameworks that improve visibility into 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 a culture of innovation, continuous improvement, accountability, and business partnership.
• Influence stakeholders across all levels of the organization and drive adoption of data-driven decision-making practices.

Benefits

• comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options
• paid time off for vacation, illness, bereavement, family and parental leave
• a tax-advantaged 401(k) retirement savings plan