Design, plan, and deliver telecom data enablement capabilities, audience solutions, and advertising data products aligned with business and monetization objectives.
Prioritize and coordinate data engineering, platform development, and integration activities to support product roadmap execution and stakeholder requirements.
Manage the end-to-end delivery of data initiatives, ensuring timely implementation of scalable, high-quality, and privacy-compliant solutions.
Support the development of data monetization capabilities that create new revenue opportunities through telecom data products and audience solutions.
Identify opportunities to improve platform efficiency and optimize data processing costs while maintaining performance and scalability.
Collaborate with internal stakeholders across product, commercial, technology, and delivery teams to translate business requirements into data solutions.
Build and maintain effective relationships with external partners, including CDPs, DSPs, clean rooms, and data onboarding providers, to ensure seamless data activation.
Support Agile delivery practices and drive continuous improvement of data platforms, audience solutions, and operational processes.
Qualifications
Bachelor's degree in Computer Science, Data Engineering, Information Systems, Telecommunications, or a related field.
Master's degree in a relevant discipline is preferred.
Experience
6+ years of experience in data engineering, telecom analytics, AdTech, digital advertising, or data monetization environments.
Experience developing and managing large-scale data platforms, ETL/ELT pipelines, and data integration workflows.
Experience working with telecom datasets such as CDRs, network events, location intelligence, and subscriber data.
Experience collaborating with cross-functional teams and external technology partners.
Skills
Strong proficiency in SQL and Python for large-scale data processing, analytics, and automation.
Hands-on experience with enterprise data platforms and technologies such as Cloudera, Apache NiFi,
Databricks, Teradata, and Hadoop ecosystem tools.
Strong understanding of telecom data ecosystems, audience creation, and data monetization principles.
Knowledge of advertising technology platforms including CDPs, DSPs, DMPs, identity solutions, and audience activation platforms.
Experience with privacy-compliant data solutions and understanding of GDPR and related data protection regulations.
Familiarity with cloud data platforms (AWS, Azure, and/or GCP) and machine learning/analytics tools.
Knowledge of identity resolution, audience segmentation, clean rooms, and privacy-enhancing technologies.
Strong analytical, problem-solving, and data modelling capabilities.
Excellent stakeholder management, communication, and cross-functional collaboration skills.
Ability to work in Agile environments and manage multiple priorities effectively.
