Lead a cross-functional technical team and drive innovation across the Revenue Management and data ecosystem, partnering closely with business and IT stakeholders to deliver scalable, high-quality solutions
Job Summary
Lead a cross-functional technical team and drive innovation across the Revenue Management and data ecosystem, partnering closely with business and IT stakeholders to deliver scalable, high-quality solutions.
Drive product and data strategy, manage complex integrations, and ensure compliance with data and regulatory standards, with a key focus on identifying and delivering practical automation solutions.
Foster a culture of innovation, accountability, and continuous improvement across global, cross-functional teams, while being hands-on in design and implementation.
Matching Summary
Lead a cross-functional technical team and drive innovation across the Revenue Management and data ecosystem, partnering closely with business and IT stakeholders to deliver scalable, high-quality solutions.
Skills & Requirements
Must-have
Revenue Management and data ecosystem
technical leadership
end-to-end solution delivery
automation and AI capabilities
Model N, Databricks, MuleSoft
AWS Redshift, Tableau, Power BI
Generative AI implementation
Nice-to-have
high learning agility
sense of ownership, urgency and drive
Lean-Agile Leadership experience
Test automation and DevOps experience
Leveraging industry thought leadership
Key Requirements
Master’s degree with 12-16 years of experience OR Bachelor’s degree with 14-17 years of experience
5+ years of experience managing a team of software engineers
3+ years of experience leading or mentoring technical teams
2+ years of experience applying AI-enabled solutions
Demonstrated experience delivering workflow automation, system configuration, and integrations
Strong technical knowledge in Databricks, cloud-based ETL tools, AWS