Senior Manager of Data and Analytics

Job Details

Job Location:

Dallas, TX 75201. Candidates must be located within the Toledo and Dallas areas to be considered for this remote opportunity.

The Senior Manager of Data and Analytics is responsible for leading the organization’s data strategy, analytics, engineering, business intelligence, and AI-enablement initiatives. This role serves as the bridge between business leaders and technical resources, translating complex business questions into actionable insights, scalable data solutions, and measurable operational improvements. This leader will manage and prioritize the work of analysts, analytics engineers, data engineers, and future AI-focused resources while remaining deeply involved in technical execution.

The ideal candidate is equally comfortable building complex analytical models, designing data architecture, performing advanced business analysis, presenting findings to executives, and identifying new opportunities where data can improve operational efficiency, customer experience, revenue generation, profitability, and organizational effectiveness. The successful candidate combines strategic thinking with intellectual curiosity and strong technical depth. They proactively seek out opportunities for improvement, challenge assumptions through analysis, and build scalable data capabilities that enable data-driven decision making throughout the organization.

• Transform the organization into a data-empowered enterprise by delivering trusted insights, governed data assets, and self-service analytical capabilities.
• Build and scale a modern data platform that supports reporting, analytics, forecasting, AI initiatives, and enterprise decision making.
• Drive measurable business performance improvements through advanced analytics, operational optimization, KPI management, and proactive identification of opportunities across the organization.

• Lead, mentor, and develop data analysts, data engineers, and AI engineers.
• Define quarterly and annual roadmaps for data, analytics, and AI initiatives.
• Prioritize team initiatives and align resources against organizational objectives.
• Balance tactical reporting requests with long‑term strategic initiatives.
• Establish standards for analytics development, data governance, documentation, testing, and deployment.
• Drive accountability for project execution, delivery timelines, and business outcomes.

• Partner directly with executive leadership and business unit leaders to solve complex business problems.
• Translate ambiguous business questions into analytical investigations and actionable recommendations.
• Perform deep quantitative and qualitative analysis to identify operational, financial, customer, and market opportunities.
• Present findings and recommendations to senior leadership in a clear and concise manner.
• Evaluate organizational performance and recommend solutions to improve efficiency, effectiveness, and profitability.
• Proactively identify areas for analysis without waiting for formal requests.
• Develop frameworks and methodologies for measuring business performance.

• Own organizational KPI definitions, governance, and reporting standards.
• Build and maintain executive dashboards and operational reporting solutions.
• Conduct advanced analyses related to productivity, labor utilization, scheduling optimization, sales performance, customer experience, revenue growth, margin improvement, and operational efficiency.
• Develop forecasting, trend analysis, and predictive analytics capabilities.
• Provide ongoing performance monitoring and actionable recommendations based on data.

• Guide development of…