Director of Revenue Technology & Business Intelligence

Job description

The Director of Revenue Technology & Business Intelligence is a strategic, analytical, and product-oriented leader responsible for modernizing the Revenue Strategy department's reporting, automation, decision-support, and revenue technology capabilities. The role owns the business roadmap for revenue technology and business intelligence and helps move the organization beyond manual spreadsheet reporting toward scalable, automated, and insight-driven solutions.

About the Role

This position works closely with the Vice President of Revenue Strategy, IT/Development, business stakeholders, and external vendors to translate commercial and operational needs into clear requirements and deliver automated web-based reporting, dashboards, data products, workflow automation, system enhancements, and AI-enabled revenue management tools. The Director is accountable for business requirements, prioritization, data definitions, user acceptance testing, implementation, adoption, performance measurement, documentation, governance, and business continuity. This position reports to the Vice President of Revenue Strategy.

Responsibilities

Own and maintain the Revenue Strategy technology, business intelligence, automation, and AI roadmap in partnership with the Vice President of Revenue Strategy.

Identify and prioritize opportunities based on revenue impact, productivity improvement, scalability, user needs, implementation effort, and risk reduction.

Translate revenue management and commercial needs into documented business requirements, process maps, user stories, business rules, data definitions, and acceptance criteria.

Maintain a prioritized product backlog and coordinate sequencing, milestones, dependencies, resources, risks, and expected business outcomes.

Partner with IT/Development and external vendors throughout solution design, development, testing, implementation, enhancement, and ongoing support.

Ensure proposed solutions align with Revenue Strategy objectives and applicable enterprise technology, security, data, and support standards.

Evaluate third-party tools and vendors, develop business cases, support selection and contract discussions, and monitor delivery and ongoing performance.

Own the Revenue Strategy reporting portfolio, including automated web-based and HTML reporting, dashboards, scorecards, exception reports, and self-service tools.

Use approved business intelligence, visualization, and low-code or no-code tools to create, enhance, or prototype reporting solutions where appropriate.

Partner with IT/Development to establish and maintain reliable automated data feeds, integrations, data models, and reporting processes.

Define and maintain standardized metrics, data definitions, validation routines, reconciliation processes, and reporting governance to improve trust in revenue and commercial information.

Analyze performance, identify trends and exceptions, and translate complex data into clear insights and recommendations for Revenue Strategy leadership and Revenue Managers.

Identify recurring manual reporting and analytical processes and lead their simplification, standardization, or automation with the appropriate technical partners.

Establish reporting priorities, service expectations, access controls, documentation, quality standards, and issue-escalation procedures for critical reporting products.

Identify practical applications of artificial intelligence, machine learning, advanced analytics, and rules-based automation that improve revenue decisions, forecasting, productivity, and issue detection.

Define the business problem, revenue logic, required data, desired outputs, user experience, controls, and success measures for AI-enabled and automated solutions.

Partner with IT/Development, data specialists, and external vendors to design and implement AI-enabled revenue management tools and automated decision-support capabilities.

Lead pilots, user acceptance testing, business validation, and controlled rollout of AI-assisted and automated solutions, including appropriate human review and exception handling.

Evaluate emerging AI capabilities, models, tools, and vendors based on business value, accuracy, explain ability, security, reliability, scalability, and maintainability.

Monitor adoption, output quality, effectiveness, and measurable business impact, and recommend enhancements or corrective action when performance does not meet expectations.

Partner with Revenue Strategy leadership to codify pricing logic, operating rules, and institutional knowledge into scalable decision-support processes and systems.

Lead cross-functional initiatives from discovery through implementation, including requirements, solution review, user acceptance testing, rollout, training, documentation, and post-launch stabilization.

Serve as the functional owner and first-line business triage lead for critical Revenue Strategy reporting, automation, and technology products, coordinating technical incident response with IT/Development or vendors.

Monitor report availability, data quality, user-impacting issues, and business outputs; elevate failures promptly and validate that corrective actions restore expected functionality.

Document business logic, data sources, system dependencies, process ownership, operating procedures, support contacts, recovery steps, and escalation paths for business-critical solutions.

Reduce key-person dependency by ensuring that business knowledge is documented and that code-level ownership, credentials, technical support, and backup coverage are formally assigned within IT/Development or approved vendor teams.

Establish repeatable change-control, release-readiness, communication, training, and support processes for new solutions and enhancements.

Act as the bridge between Revenue Strategy and technical delivery partners, translating commercial problems into clear requirements and technical constraints into practical business decisions.

Provide leadership with roadmaps, business cases, status updates, demonstrations, risk assessments, performance metrics, and recommendations.

Build productive relationships across Revenue Strategy, Operations, Marketing, Finance, IT, and external partners to drive timely decisions and successful implementation.

Promote data literacy, adoption of standardized tools, and disciplined use of automation and AI across the Revenue Strategy organization.

Measure solution value through revenue impact, hours eliminated, adoption, accuracy, reliability, issue reduction, and other agreed business outcomes.

Qualifications

Bachelor’s degree required; an equivalent combination of education and relevant experience may be considered in lieu of a degree.

Seven or more years of progressive experience in business intelligence, analytics, revenue technology, data-product ownership, process automation, revenue management, commercial systems, or a closely related field; hospitality experience strongly preferred.

Demonstrated experience owning or leading the implementation of business intelligence, reporting automation, analytical, or technology products from requirements through launch and adoption.

Strong ability to translate business problems into documented workflows, requirements, business rules, metrics, data definitions, and user acceptance criteria.

Experience partnering with IT/Development teams, technology vendors, data specialists, or consultants to deliver and support technology solutions.

Experience with business intelligence and visualization platforms such as Power BI, Tableau, or comparable tools, along with advanced Excel and strong general data literacy.

Working knowledge of databases, data models, APIs, automated data feeds, and system integrations preferred; direct programming or

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Worksite address

atlanta, GA, 30383, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.