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Technical Director Data

2 weeks ago

Hyderabad, Telangana, India Infomagnus Full time US$ 1,50,000 - US$ 2,00,000 per year

Position Title: Technical Director Data & AI (India)

Location: India (Bangalore/Hyderabad/Remote within India, 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 is a hands-on leadership role, with an equal focus on leadership (50%) and project delivery (50%).

As a client-facing leader, the Technical Director will drive technical excellence, enforce best practices, deliver cutting-edge Data & AI solutions, and build a high-performance engineering team.

Key Responsibilities

Leadership & Practice Development (50%)

  • Build, mentor, and grow the India Data & AI team (data engineers, ML/AI engineers, architects).
  • Define and enforce engineering standards and delivery best practices (code reviews, testing, documentation, deployment).
  • Partner with the US Practice Director on practice growth, capability building, and strategic initiatives.
  • Support business development through solution design, scoping, and client presentations.

Hands-on Delivery (50%)

  • Architect and deliver end-to-end Data & AI solutions across enterprise clients.
  • 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.
  • Work with embeddings and vector databases (Pinecone, FAISS, Milvus, etc.).

  • Apply prompt engineering, model evaluation, and responsible AI practices.

  • Collaborate directly with client stakeholders to validate requirements and ensure delivery excellence.

  • Troubleshoot and lead resolution of complex data/production issues.

Required Skills & Experience

Technical

  • Strong expertise in Data Engineering: SQL, Python, ETL/ELT (DBT, Talend, ADF, SSIS).
  • Proven experience in Data Warehouse design (star schema, dimensional modeling, fact/dim tables).
  • Deep expertise with Cloud Data Platforms (Snowflake, Synapse, BigQuery, Redshift).
  • Solid background in Machine Learning & AI frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on with Generative AI/LLMs: fine-tuning, RAG, embeddings, vector DBs, prompt engineering.
  • Strong Cloud Architecture experience (Azure preferred).
  • Familiarity with metadata & governance tools (Alation, Purview, Collibra).

Leadership & Delivery

  • 12+ years of experience in Data & AI, with at least 5+ years in technical leadership.
  • Proven track record of leading distributed teams and delivering large-scale enterprise projects.
  • Strong client-facing experience: solution design, technical workshops, and presentations.
  • Expertise in defining and enforcing delivery standards, documentation, and testing frameworks.

Soft Skills

  • Excellent communication and presentation skills.
  • Strong cross-cultural leadership, especially with US/global teams.
  • Proactive, structured, and disciplined approach to delivery.
  • Passion for mentoring and building high-performance teams.

Qualifications

  • Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field.
  • Certifications in Azure Data/AI (preferred) or equivalent AWS/GCP certifications are a plus.