The Head of ComOps AI & Data is responsible for defining and executing the business strategy for ComOps Data & AI, ensuring that data and AI initiatives deliver measurable business value across the organization. . 
This role will lead the development of scalable business models leveraging data-driven insights, AI-powered solutions, and governance frameworks to accelerate digital transformation and optimize commercial operations. The position ensures data-driven decision-making, compliance, and fosters a culture of innovation through advanced analytics and AI adoption.

YOUR DAY-TO-DAY JOB

• Define and own the business vision for ComOps Data & AI, positioning it as a strategic enabler for commercial growth and operational excellence.
• Prioritize and validate AI and data use cases based on business impact, feasibility, and alignment with corporate objectives 
• Establish governance frameworks and business standards for data usage, ensuring compliance and ethical AI practices.
• Collaborate closely with all ComOps departments and functions and make sure that business requirements are met.
• Ensuring that the AI & Data Strategy is adopted to the functional strategies of the ComOps Departments
• Drive portfolio management for AI and Data initiatives, ensuring prioritization based on measurable business outcomes.
• Promote data literacy and adoption across commercial functions, creating a culture of data-driven decision-making.Ensure cross-functional collaboration with Marketing, Sales, Service, and Logistics to integrate AI and data capabilities into business processes.
• Stakeholder management of all ComOps departments and functions to ensure that the ComOps Data & AI Hub is seen as the center of excellence across ComOps
   

  WE EXPECT
   

• Strategic leadership in data and AI enablement.
• Deep expertise in data architecture, AI/ML technologies, and cloud-based platforms.
• Strong understanding of AI ethics, model governance, and regulatory compliance.
• Excellent stakeholder management and communication skills.
• Proven ability to lead cross-functional teams and drive cultural change.
• Knowledge of GDPR and data privacy regulations.
• complex technical initiatives.