Technical Director

Detailed Job Requisition :

Position Title : Technical Director - Data & AI (India)

Location : India (Bangalore/Hyderabad with overlap to US PST time zone)

Reports To : Practice Technology Director - Data & AI (US)

Role Overview

We are seeking a Technical Director - Data & AI to lead and scale our India-based Data & AI delivery team. This role is designed for a hands-on leader who will split time between leadership (50%) and project delivery (50%).

The Technical Director will :

- Lead the Data & AI technical team in India (data engineers, ML/AI engineers, architects).

- Define and enforce best practices in data engineering, data warehousing, and AI/ML delivery.

- Provide hands-on technical leadership in projects involving enterprise data platforms, machine learning, and Generative AI/LLMs.

- Collaborate closely with the US Technical Practice Director and engage directly with clients to ensure delivery excellence and build long-term relationships.

This is a client-facing leadership role that requires deep technical expertise, delivery discipline, and strong people management skills.

Key Responsibilities :

Leadership & Practice Development (50%) :

- Build and mentor the India Data & AI team, fostering technical excellence and accountability.

- Define engineering standards and delivery best practices (code reviews, testing, documentation, deployment).

- Collaborate with the US Technical Practice Director on capability development and practice growth.

- Support business development by designing solutions, scoping work, and participating in client presentations.

Hands-on Delivery (50%) :

Architect and deliver end-to-end data and AI solutions :

- Data Engineering : SQL, Python, DBT, Talend, Azure Data Factory, SSIS.

- Data Warehousing : Star schema, snowflake schema, dimensional modeling, fact/dim design.

- Cloud Platforms : Azure (preferred), AWS, GCP.

- DevOps/CI-CD : GitHub, Azure DevOps pipelines for data/AI.

AI & Machine Learning :

- Develop and fine-tune Large Language Models (LLMs).

- Build, deploy, and monitor ML models.

- Implement RAG (retrieval augmented generation) with enterprise data.

- Use embeddings and vector databases (Pinecone, FAISS, Milvus, etc.).

- Prompt engineering, evaluation, and responsible AI practices.

- Collaborate with client stakeholders to validate requirements, design solutions, and ensure business outcomes.

- Lead investigations of complex data or production issues.

Required Skills & Experience :

Technical :

- Strong data engineering expertise : SQL, Python, ETL/ELT (DBT, Talend, ADF, SSIS).

- Proven experience with data warehouse design (star schema, dimensional modeling, fact/dim tables).

- Deep experience in cloud data platforms (Snowflake, Synapse, BigQuery, or Redshift).

- Demonstrated expertise in machine learning & AI (TensorFlow, PyTorch, Scikit-learn).

- Hands-on with Generative AI/LLMs (fine-tuning, RAG, embeddings, vector DBs, prompt engineering) based applications.

- Strong cloud architecture experience (Azure preferred).

- Familiarity with metadata & governance tools (Alation, Purview, Collibra).

Leadership & Delivery

- 12+ years of experience in Data/AI, including 5+ years in technical leadership.

- Track record of leading distributed teams and delivering large-scale enterprise projects.

- Strong client-facing experience : solution design, presentations, technical workshops.

- Ability to bridge business requirements and technical solutions.

- Proven success in establishing delivery standards, documentation, and testing frameworks.

Soft Skills

- Excellent communication and presentation skills.

- Strong cross-cultural leadership and collaboration with US/global teams.

- Proactive, structured, and disciplined approach to delivery.

- Passion for mentoring and building high-performance teams.

Qualifications

- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.

- Certifications in Azure Data/AI (preferred) or AWS/GCP equivalents are a plus.