Data Strategy Consultant

MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH 

As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.  
We're seeking a Data Management Consultant in Denver to help us take vision to value and create lasting impact. 

• The Consultant will ensure OTX’s data ecosystem supports daily operations, reporting, and customer insights.
• Oversee and coordinate the organization's data ecosystem, including management of third-party vendor reporting relationships (e.g. BOS, Roadside), while defining clear accountability for operational reporting, KPIs, and reconciliation processes. 
• Oversee the design, development, and maintenance of data pipelines to integrate transactional tolling data, traffic sensors, and customer information, including coordination with 3rd party vendors, as needed. 
• Ensure accurate, timely, and actionable reporting for operational teams, finance, and executive leadership. 
• Implement and maintain data quality standards and security (e.g., NIST, PCI-DSS), governance, and compliance practices to protect sensitive information. 
• Determine and execute a data strategy across 3rd party vendors (e.g., backoffice, roadside, etc.), including identifying required data inputs for daily operations, performance, enabling proactive decision-making. 
• Host regular team and stakeholder meetings to review performance metrics, surface risks or data gaps, and prioritize initiatives. 
• Oversee the development of consolidated reporting dashboards and actionable insights to support enterprise-wide decision-making. 

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Master's degree preferred.
• 8+ years of experience in data management, analytics, or related fields, with at least 5 years in a leadership role.
• Proven track record of developing and implementing successful data strategies in complex organizations.
• Strong understanding of data governance principles, data architecture, and data integration methodologies.
• Experience with data warehousing, business intelligence tools, and big data technologies.
• Knowledge of data privacy regulations and compliance requirements.
• Excellent leadership, communication, and interpersonal skills.
• Strong project management and problem-solving abilities.
• Experience in the transportation or tolling industry.
• Familiarity with GIS (Geographic Information Systems) and location-based data analysis.
• Knowledge of machine learning and artificial intelligence applications in data analysis.