About us:

Who is Cintra? With US headquarters in Austin, Texas, Cintra is the leading private-sector transportation infrastructure company in the world, with experience spanning over 50 years of innovative highway development on four continents. Today, its portfolio includes nearly 1,200 miles of managed highways globally, representing a total global investment in roadway improvements of over $24.8 billion. Cintra manages over $10 billion of infrastructure projects in the United States and more than $4.7 billion of infrastructure projects in Canada. What makes us different? Our people come first. We want every single employee to develop both professionally and personally. With a strong focus on growth potential, we look to our internal employees as potential candidates for both national and international opportunities. We aim to achieve greatness by promoting from within every chance we get. We work hard and play hard and strive every day for success and achievement. With a diverse group of professionals working in a fast-paced environment, we achieve milestones constantly. And if that weren’t enough, we also offer our employees highly competitive insurance benefits, Paid Time Off, and a matching 401(k) program.

Job Description:

As a Data Strategy Director, you will be responsible for the design and development of data infrastructure and advanced analytics solutions that enable the generation of insights that drive business value. This person will help establish data governance and processes to ensure data quality and accessibility and formulate best practices for data analytics and MLOps workloads. The data to be used can come from either proprietary traffic, movement, and customer datasets collected from any of Cintra’s global toll road projects and/or with data taken from identified and suitable external sources. Additionally, you be responsible for communicating your recommendations with management, supporting the work of other analytics groups, and staying up to date on new tools and methods. Although this role will be based in Austin, TX, this person will be supporting projects and groups in North America and Europe.

Essential Duties and Responsibilities:

• Develop and maintain data platform for analytics, linking multiple and disparate data sources, while ensuring data quality and accessibility to enable the extraction of value from information

• Provide thought leadership and expertise to establish technology and data architecture with clear data definitions, methodologies, and interpretation

• Engineer and implement data pipelines for all types of data to support analytics initiatives, including enablement of ML/AI based projects and solutions

• Be a critical resource within the Data Science group by collaborating on the design, implementation and deployment of predictive models, optimization engines, and AI-based tools that support strategic initiatives for Cintra and its concessions

• Work cross-functionally and/or with external providers to lead or support the integration of data, models and technology to enable customer-centric insights, actions, and strategies

• Stay informed on new developments in data engineering tools and techniques to benefit the analytics practice at Cintra.  

Qualifications (Knowledge, Skills & Abilities):

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required to fulfill those duties. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Key Requirements:

• Degree in STEM related field (Math/Engineering/Computer Science/Information Systems) from an accredited college or university

• 10+ years’ experience delivering/enabling enterprise analytics solutions, preferably in customer/marketing/pricing related initiatives and projects

• Experience designing, implementing, and managing cloud-based data and analytics solution architectures to support data workloads that enable multiple areas (business analytics, data engineering, data streaming, MLOps)

• High level of proficiency in SQL and major programming languages

• Experience with data visualization software (Tableau/Power BI, etc.,)

Professional Qualities:

• Mindset for research and innovation. Active, curious, and ready to explore new ideas.

• Superior writing and verbal communication skills, particularly technical report writing skills.

• Able to summarize and present information and to present and explain findings and conclusions to management.

• Effectively manage tasks and strict deadlines with independence and in an organized way.

• Ability to interact with colleagues in a self-managed team structure.

• Must be able to proactively multitask, problem solve, and implement innovative processes within a fast-paced environment.

Work Environment & Physical Demands:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• The noise level in the work environment is usually quiet.

• Some travel required, may include air travel.

• The employee must occasionally lift and/or move up to 10 pounds.

• Specific vision abilities required by this job include ability to adjust focus, as necessary to use a computer.

• While performing the duties of this job, the employee is regularly required to talk or hear.

• The employee is frequently required to stand, walk, and sit.