Director of Data Analytics Revenue Optimization

Role: Director of Data Analytics Revenue Optimization

Department: Information Technology

Location: 6300 Steeles West, Woodbridge

Highway 407 ETR is an all-electronic open-access toll highway located in the Greater Toronto Area in Ontario, Canada. The highway spans 108 kilometres from Burlington in the west to Pickering in the east.

407 International Inc. is the sole shareholder of 407 ETR and is owned by:
407 ETR's Information Technology division is responsible for the infrastructure and software to enable the efficient operation of the highway-including toll capture, account management, financials, and data storage/analytics-as well as customer services including call-center, web, IVR and supporting workflows.

Position Summary:
407 ETR is currently seeking a Director of Data Analytics Revenue Optimization to join our team. This role will leverage customer analytics to inform and drive both pricing strategy and marketing promotions to maximize revenue growth. The incumbent will lead statistical modeling and develop presentations for the executive team, shareholders as well as peers across the organization. This role will report directly to the role of Head, Enterprise Data & Analytics, and has a dotted-line reporting to the role of VP, Revenue Optimization. We are seeking a strong people leader to develop a high performing team in data modeling, customer insights and business analytics.

Role: Director of Data Analytics Revenue Optimization

Department: Information Technology

Location: 6300 Steeles West, Woodbridge

Highway 407 ETR is an all-electronic open-access toll highway located in the Greater Toronto Area in Ontario, Canada. The highway spans 108 kilometres from Burlington in the west to Pickering in the east.

407 International Inc. is the sole shareholder of 407 ETR and is owned by:
407 ETR's Information Technology division is responsible for the infrastructure and software to enable the efficient operation of the highway-including toll capture, account management, financials, and data storage/analytics-as well as customer services including call-center, web, IVR and supporting workflows.

Position Summary:
407 ETR is currently seeking a Director of Data Analytics Revenue Optimization to join our team. This role will leverage customer analytics to inform and drive both pricing strategy and marketing promotions to maximize revenue growth. The incumbent will lead statistical modeling and develop presentations for the executive team, shareholders as well as peers across the organization. This role will report directly to the role of Head, Enterprise Data & Analytics, and has a dotted-line reporting to the role of VP, Revenue Optimization. We are seeking a strong people leader to develop a high performing team in data modeling, customer insights and business analytics.

This role demands a data-driven mindset, strategic thinking, and a proven track record of using customer analytics to inform decision-making and drive measurable business impact. We are seeking an experienced leader to shape the organization's analytics capabilities to unlock new revenue opportunities and enhance customer experiences.

Responsibilities:
- Champion the use of data as a key business enabler—identifying opportunities to unlock value across the organization with a focus on revenue optimization and pricing.- Lead the development of pricing elasticity models using advanced statistical techniques and develop price optimization algorithms.- Lead the development of promotion optimization models (uplift and response) to enhance targeting strategy for personalized offers.- Guide experimentation strategies (e.g., A/B tests, geo lift studies) to measure causal impact of pricing and promotional tactics.- Lead and mentor a high performing team of data scientists and analysts, including performance reviews and development plans.- Work with stakeholders to frame business problems into an analytical framework and deliver valuable, impactful results.- Collaborate cross-functionally with marketing, data engineering and product teams to integrate models into business workflows and decision systems.- Conduct research, collect and analyze data related to traffic and customer travel behavior from existing and emerging sources.- Use advanced Machine Learning techniques including image recognition, neural networks and other AI techniques to aid in pricing and customer insights.- Lead the design, delivery and analysis of customer survey for personal and business users.- Lead the analytical support of a new loyalty program.- Deliver easy to digest insights to C-level and shareholders that help inform and share the future direction of the business in Pricing, Promotions, Marketing, Traffic and Operations.- Manage consultants, including contract preparation, price negotiation, scheduling, budget management, payment approvals, report evaluation and approval.- Represent and inform the company through participation in inter-agency research in