Senior AI Project Manager

We are seeking an experienced Senior AI Project Manager with a strong background in artificial intelligence, machine learning, and project leadership. This role requires driving high-impact AI/ML initiatives across Telecom and Fin-tech domains, ensuring measurable business value and successful adoption at scale.
Key Responsibilities

• Define and own AI product strategy and roadmap aligned with business priorities in Telecom (CVM, CEX, RMS, network analytics) and Fin-tech (fraud detection, risk scoring, digital onboarding) .
  

• Translate business needs into AI product requirements, measurable success metrics, and scalable features.
  

• Lead and mentor agile, cross-functional teams (data engineers, ML engineers, designers) from POC to production .
  

• Drive adoption of AI solutions across business units, ensuring ROI through churn reduction, ARPU uplift, fraud prevention, and revenue optimization .
  

• Ensure timely delivery of initiatives in line with governance, compliance, and data security standards.
  

• Track AI/ML market and industry trends, including Telecom AI, Fin-tech AI, and regulatory frameworks, to propose enhancements.
  

• Collaborate with C-level executives and sponsors to secure alignment, funding, and scaling of AI solutions.
  

  
  

Required Qualifications

Education

• Master’s degree (or equivalent) in Engineering, Computer Science, Statistics, Mathematics, or related field.
  

• Fluency in English (French is a plus; bilingual preferred).
  

Experience

• 8+ years in project and product management, including 5+ years leading AI/ML projects.
  

• Strong domain expertise in Telecom and/or Fin-tech (customer value management, fraud detection, digital banking, network optimization).
  

• Proven track record managing AI/ML projects from POC to industrialization .
  

• Excellent stakeholder management with the ability to brief executives and align technical/business teams.
  

  
  

Competencies

Project Management

• Expertise in Agile / Scrum / SAFe methodologies.
  

• Ability to manage multi-country, multi-stakeholder AI projects .
  

• Skilled in budget/resource management, risk anticipation, and mitigation.
  

• PMP, PRINCE2, or Agile certification preferred.
  

Technical & Domain Understanding

• Familiarity with AI/ML concepts: supervised/unsupervised learning, NLP, CV, LLMs, GenAI, recommender systems.
  

• Knowledge of data engineering workflows: ETL, data pipelines, APIs, real-time streaming.
  

• Awareness of MLOps practices (CI/CD for ML, monitoring, retraining, lifecycle management).
  

• Application knowledge in churn prediction, customer segmentation, fraud detection, credit scoring, network anomaly detection.
  

Tools & Technologies

• Python, SQL, scikit-learn, TensorFlow, PyTorch (high-level understanding).
  

• Cloud AI platforms: Azure ML, AWS SageMaker, GCP Vertex AI.
  

• BI tools: Power BI, Tableau, Looker.
  

• Collaboration tools: Jira, Confluence, MS Project, Slack/Teams.
  

Soft Skills

• Strategic thinker with strong business acumen in AI applications for Telecom and Fin-tech.
  

• Exceptional communicator with the ability to translate technical AI concepts into business impact.
  

• Strong leadership and mentoring skills, capable of aligning diverse teams.
  

• Change management and influencing skills at C-level.
  

• Analytical mindset with focus on delivering ROI-driven outcomes .