Act as the primary interface between business leaders and the technical team, translating complex business needs into robust technical requirements and high-impact AI roadmaps
Lead the communication strategy to explain complex technical AI/ML concepts clearly to non-technical stakeholders across the organization.
Ensure all deployed models and data pipelines maintain high accuracy, stability, and measurable business impact through rigorous experimentation frameworks
Oversee and guide the design, development, and production deployment of scalable AI/ML systems
Define model objectives and success metrics, ensuring all AI/ML initiatives directly drive CX uplift and revenue growth
Partner deeply with Network, Commercial, and Vendor Management teams to co-create AI-native solutions and champion data-driven decision-making across the organization
Requirements
Technical Skills:
Bachelor's or Master's degree in Computer Science, Information Technology, Statistics or related field.
Minimum of 7–10+ years of professional experience in Data Science, Machine Learning and AI Solutions, with at least 2–3 years in a leadership, managerial, or principal consulting role (preferably within the telecommunications or consulting sector)
Demonstrated success in leading cross-functional teams to design, scale, and deliver complex data pipelines, ingestion architectures, and productionized AI products.
Deep, hands-on architectural familiarity with Multi-Agent systems and orchestration frameworks
Expert-level command of Python and deep experience across production frameworks like XGBoost, Scikit-learn, TensorFlow, or PyTorch
Expert knowledge of Google Cloud Platform (GCP) Data/AI products (Vertex AI, BigQuery, Cloud Run) and big data processing (Spark, Dataproc)
Strong familiarity with Telco data structures, network performance metrics and open industry frameworks (e.g., TM Forum Open Digital Architecture)
Robust understanding of production MLOps lifecycles (CI/CD) and enterprise orchestration
Professional certifications such as Google Certified Professional Machine Learning Engineer or equivalent Cloud Architect/AI credentials are highly regarded
Soft Skills
Excellent communication, leadership, and team management skills to effectively direct a technical team and collaborate across a matrixed organization
Proven ability to lead and drive initiatives independently in a fast-paced, dynamic environment
Exceptional analytical, conceptual, and strategic problem-solving abilities
Exceptional ability to articulate complex technical architectures, risks, and AI strategies into clear, actionable business insights for non-technical stakeholders and executive leadership
