Data Lead

Job Title: Data Lead 


Job Title: Data Lead / ML Architect

Location: Muscat, Oman

Team: Data & AI Team

Employment Type: Full-Time

About Us

We are building a revolutionary unified AI observability platform that integrates real-time data from mobile networks and datacenters. Our solution leverages advanced Gen AI and LLM capabilities to deliver actionable insights via dynamic dashboards and minimal-click workflows. Join our innovative team and help shape the future of telecom network management by ensuring seamless integration and connectivity across complex systems.

Job Summary

As the Data Lead / ML Architect, you will be responsible for defining and executing the data and machine learning strategy for our cutting-edge observability platform. You will lead the design, development, and deployment of scalable data pipelines and advanced ML models while mentoring a cross-functional team of data engineers, data scientists, and ML engineers. Your leadership will ensure that our AI-driven features are built on a robust, secure, and high-performance data foundation, enabling real-time analytics and predictive insights for telecom network management.

Key Responsibilities

Strategic Data & ML Leadership

• Define and articulate the data architecture and machine learning strategy in alignment with business goals and regulatory requirements.
• Develop a roadmap for integrating advanced ML models, including generative AI and LLMs, into the observability platform.
• Establish best practices for data governance, quality, security, and compliance across the organization.

Architecture & Pipeline Design

• Design and oversee the implementation of scalable, high-performance data pipelines that support real-time data ingestion, processing, and analytics.
• Architect end-to-end ML pipelines, from feature engineering and model training to deployment and monitoring in production environments.
• Evaluate and integrate cutting-edge data and ML technologies that drive innovation and operational efficiency.

Team Leadership & Collaboration

• Lead, mentor, and manage a team of data engineers, data scientists, and ML engineers, fostering a culture of continuous learning and technical excellence.
• Collaborate closely with cross-functional teams (including product management, software engineering, and telecom integration) to align data initiatives with overall product strategy.
• Facilitate technical discussions, code reviews, and knowledge sharing sessions to drive best practices and cross-team collaboration.

Operational Excellence & Continuous Improvement

• Implement automated processes for model monitoring, retraining, and performance optimization.
• Drive initiatives for continuous improvement in data processing, model accuracy, and system scalability.
• Stay current with industry trends, emerging technologies, and regulatory changes affecting data and ML practices.

Stakeholder Communication & Documentation

• Communicate technical strategies, roadmaps, and progress updates to both technical and non-technical stakeholders.
• Maintain comprehensive documentation of data architectures, ML model designs, and integration processes to ensure transparency and reproducibility.

Required Qualifications

Experience

• 8–12+ years of professional experience in data engineering, data science, or ML engineering, with a significant track record in leadership roles.
• Proven experience in architecting and deploying scalable data pipelines and ML models in production, preferably in telecom, enterprise software, or high-volume data environments.

Technical Skills

• Expertise in programming languages such as Python (and relevant libraries: pandas, scikit-learn, TensorFlow, PyTorch).
• Familiarity with data processing frameworks (e.g., Apache Spark, Kafka).
• Strong background in designing and implementing data architectures and ML pipelines, with hands-on experience in cloud platforms (AWS, Azure, or GCP).
• Deep understanding of big data technologies, SQL/NoSQL databases, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Experience with deploying, monitoring, and managing AI/ML models in real-time applications.

Leadership & Soft Skills

• Demonstrated ability to lead, mentor, and inspire cross-functional teams in an agile environment.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences.
• Proven experience in stakeholder management and strategic planning.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. An advanced degree (MS or Ph.D.) is a plus.

Preferred Qualifications

• Experience working on AI-driven products or observability platforms.
• Familiarity with telecom network data, OSS, and real-time data analytics.
• Relevant certifications in data engineering, cloud architecture, or machine learning.

Benefits

• Competitive salary and equity package.
• Comprehensive health insurance.
• Flexible work arrangements (remote/hybrid options).
• Opportunities for professional growth, advanced training, and attendance at industry conferences.
• A collaborative and innovative work environment where your leadership directly influences the future of telecom network management.

How to Apply

Please submit your resume, a cover letter detailing your relevant experience and vision for data and ML architecture, and any examples of projects or case studies that demonstrate your technical leadership and innovation.