Director of Analytics and AI

Virtual Staffing Solutions; Cebu City; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Virtual Staffing Solutions is seeking a dynamic leader to guide our AI/ML and analytics strategy and execution. Reporting to the VP of IT, you will define the direction of AI/ML initiatives and build scalable, high-performance solutions that deliver operational intelligence and measurable business value.

The role calls for a strong technical background, experience leading AI/ML teams, and the ability to align data strategies with organizational objectives.

Qualifications

• 10+ years of AI/ML experience including supervised/unsupervised learning and LLM-based solutions.

Responsibilities

• Lead AI/ML and analytics strategy, execution, and team development reporting to IT VP.
• Define direction of AI/ML initiatives and ensure scalable, high-performance solutions.
• Drive innovation and measurable business value through data and analytics initiatives.
• Mentor multidisciplinary teams and align data strategies with business goals.
• Ensure data privacy and ethical AI practices across projects.

Skills

AI/ML Leadership

Team Leadership

Strategic Thinking

Programming (Python/Java/C/C++)

Cloud Platforms (AWS/Azure/GCP)

Data Modeling

Power BI & DAX

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Microsoft Fabric

Power BI

SQL/NoSQL

Job description

3 - 5 Years

REGULAR

Job Description

A dynamic, forward-thinking, and results-driven individual to lead our artificial intelligence, machine learning, and enterprise analytics strategy, execution, and team development. Reporting to the VP of IT, this role will define the direction of AI/ML and analytics initiatives, ensuring the development of scalable, high-Performance solutions that drive innovation, operational intelligence, and measurable business value. The ideal candidate will have a strong technical background, experience leading AI/ML and analytics teams, and the ability to align data and AI strategies with organizational objectives.

Key Responsibilities

• Strong expertise in ML algorithms, frameworks (TensorFlow, PyTorch, Scikit-learn), and modern data processing tools.
• Expertise in designing data models, semantic layers, and enterprise datasets for analytics consumption.
• Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving and strategic-thinking skills with the ability to drive complex technical initiatives.
• Knowledge of ethical AI principles and data privacy regulations.
• Advanced proficiency in Python, Java, C/C++, Spark, R, Kafka, C#, MATLAB, and modern data communication formats.
• Experience with microservices, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).
• Expertise with GraphDB, SQL/NoSQL databases, and general database architecture.
• Experience with industrial automation or power system design is a plus.
• Published research or open-source AI/ML contributions preferred.
• Familiarity with energy industry standards and documentation processes.

Skills, Knowledge & Expertise

• Degree in Computer Science, Engineering, Mathematics, or a related field.
• 10+ years of experience in AI/ML, including supervised/unsupervised learning, reinforcement learning, and LLM-based solutions.
• Proven experience developing, deploying, and scaling ML models and analytics systems in production environments.
• Experience leading multidisciplinary, high-performing data and AI teams.
• Hands-on experience with Power BI , DAX , Power Query , data modeling, and enterprise reporting best practices.
• Experience with Microsoft Fabric (Data Engineering, Data Factory, Lakehouse, Warehouse, Real-Time Analytics).

Job Snapshot

Updated Date

Department

Information Technology

Location