Mgr Engineering

This posting is for internal to FEC only. All qualified candidates must be an FEC badged employee. If the candidate is not a FEC employee, they will not be considered.

About the Role - Mgr, Engineering will oversee the Customer Data Profile (CDP) and Global Revenue Insight Platform (GRIP).

• Collaborate cross-functionally with business stakeholders to align technical development with strategic priorities and measurable outcomes.
• Engage directly with customers to understand requirements, incorporate feedback, and ensure solutions deliver tangible business value.
• Oversee vendor and external partner relationships across both product lines, ensuring resource alignment, delivery excellence, and operational efficiency.
• Present product updates, engineering progress, and strategic milestones to senior leadership, translating technical initiatives into business impact.
• Takes ownership and responsibility for the support the design, build, test and maintain data pipelines at big data scale.
• Leads a team responsible for modeling and development to support operations initiatives, strategic programs and new products and solutions.
• Strong background and experience in the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical tools.
• Uses expertise to lead a team that initiates and delivers projects and develops end-to-end solutions that drive business results, including proofs-of-value for new business problems and production-ready solutions for operations and customer-facing products.
• Understands and ensures development of solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles.
• Advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools in projects, platforms and products.
• Provides expert consultation and thought leadership to senior management.
• Mentors other team members to drive results and effectively collaborates with cross-functional teams to deliver business goals.

Bachelor's Degree in Information Systems, Computer Science, or a quantitative discipline such as Mathematics or Engineering and/or equivalent formal training or work experience. A related advanced degree may offset the related experience requirements.

Five to eight (5-8) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics.

• Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines.
• Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems.
• Strong understanding of the transportation industry, competitors, and evolving technologies.
• Experience providing leadership in a general planning or consulting setting.
• Experience as a leader or a senior member of multi-function project teams.
• Strong oral and written communication skills.