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 .

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