IOTA Analytics - Director - AI Automation & Data Science

Job Title : Director AI Automation & Data Sciences

Experience Required : 10- 15 Years

Industry : Legal Technology / Cybersecurity / Data Science

Department : Technology & Innovation

About the Role :

We are seeking an exceptional Director AI Automation & Data Sciences to lead the innovation engine behind our Managed Document Review and Cyber Incident Response services. This is a senior leadership role where youll leverage advanced AI and data science to drive automation, scalability, and differentiation in service delivery. If you are a visionary leader who thrives at the intersection of technology and operations, this is your opportunity to make a global impact.

Why Join Us :

- Cutting-edge AI & Data Science technologies at your fingertips

- Globally recognized Cyber Incident Response Team

- Prestigious clientele of Fortune 500 companies and industry leaders

- Award-winning, inspirational workspaces

- Transparent, inclusive, and growth-driven culture

- Industry-best compensation that recognizes excellence

Key Responsibilities (KRAs) :

- Lead and scale AI & data science initiatives across Document Review and Incident Response programs

- Architect intelligent automation workflows to streamline legal review, anomaly detection, and threat analytics

- Drive end-to-end deployment of ML and NLP models into production environments

- Identify and implement AI use cases that deliver measurable business outcomes

- Collaborate with cross-functional teams including Legal Tech, Cybersecurity, Product, and Engineering

- Manage and mentor a high-performing team of data scientists, ML engineers, and automation specialists

- Evaluate and integrate third-party AI platforms and open-source tools for accelerated innovation

- Ensure AI models comply with privacy, compliance, and ethical AI principles

- Define and monitor key metrics to track model performance and automation ROI

- Stay abreast of emerging trends in generative AI, LLMs, and cybersecurity analytics

Technical Skills & Tools :

- Proficiency in Python, R, or Scala for data science and automation scripting

- Expertise in Machine Learning, Deep Learning, and NLP techniques

- Hands-on experience with LLMs, Transformer models, and Vector Databases

- Strong knowledge of Data Engineering pipelines ETL, data lakes, and real-time analytics

- Familiarity with Cyber Threat Intelligence, anomaly detection, and event correlation

- Experience with platforms like AWS SageMaker, Azure ML, Databricks, HuggingFace

- Advanced use of TensorFlow, PyTorch, spaCy, Scikit-learn, or similar frameworks

- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for ML Ops

- Strong command of SQL, NoSQL, and big data tools (Spark, Kafka)

Qualifications :

- Bachelors or Masters in Computer Science, Data Science, AI, or a related field

- 10- 15 years of progressive experience in AI, Data Science, or Automation

- Proven leadership of cross-functional technology teams in high-growth environments

- Experience working in LegalTech, Cybersecurity, or related high-compliance industries preferred