Role: Senior Technical Lead

Experience: 12 - 15 yrs

Location: Hyderabad

Notice Period: Immediate to 15 days

Job Description: We are looking for an experienced Technical Lead to drive successful implementations of our AI-powered data analytics platform from our India development center. The role involves leading pilot engagements, managing customer implementations, and heading a mid-size development team while working closely with our onsite teams. You will be responsible for translating business requirements into technical solutions, ensuring quality deliverables, and demonstrating rapid time-to-value for our customers.

About the Product: You'll be working with our flagship product, an AI-driven analytics platform that enables natural language querying of enterprise data, automated visualizations, and democratized machine learning capabilities. The platform connects to various data sources, creates semantic data models, and leverages LLMs to provide interactive insights.

Work Environment:

• Lead offshore development team collaborating with onsite teams in the US
• Flexibility to adjust working hours for key client meetings and critical delivery phases

Roles and Responsibilities:

• Lead technical implementation of 4-12 week pilot engagements and custom demos for enterprise clients
• Manage and mentor a team of 8-12 developers across multiple concurrent projects
• Support technical discovery sessions alongside onsite teams to understand client requirements
• Design and oversee the implementation of data models, ontologies, and integration architectures
• Establish best practices for data quality, performance optimization, and delivery automation
• Effectively communicate technical solutions and progress updates to stakeholders
• Ensure successful delivery within tight timelines while maintaining quality standards
• Provide hands-on technical leadership when needed
• Create and maintain comprehensive technical documentation
• Foster strong collaboration between offshore and onsite teams
• Drive standardization of development and delivery processes to ensure consistent quality across engagements

Required Skills & Experience:

• 10+ years of technology experience with 5+ years focusing on data engineering/analytics
• 5+ years of proven experience leading offshore technical teams in delivering complex data solutions at scale
• Experience working in globally distributed teams across multiple time zones
• Strong background in data modeling, particularly semantic/ontology-based approaches
• Expertise in SQL optimization and working with enterprise databases (Oracle, PostgreSQL, BigQuery, Snowflake)
• Experience in rapid prototyping and POC delivery
• Strong understanding of data visualization principles and best practices
• Experience in implementing ML/AI solutions in enterprise environments
• Excellent written and verbal communication skills in English
• Background in data security and compliance requirements

Technical Knowledge:

• Advanced SQL skills with a focus on data modeling and optimization
• Deep understanding of enterprise databases
• Experience with REST APIs and modern web services
• Knowledge of data quality and governance principles

Good to Have:

• Experience working with Large Language Models (OpenAI, Gemini, etc.)
• Background in natural language processing (NLP) systems
• Knowledge of knowledge graphs and semantic technologies
• Experience with business intelligence and visualization tools
• Basic understanding of front-end technologies (React, Angular)

Key Success Factors:

• Ability to quickly understand and map complex customer data structures
• Strong problem-solving skills with a focus on rapid value demonstration
• Excellence in managing tight deadlines and multiple concurrent projects
• Proven track record in mentoring and growing technical teams
• Strong remote communication and collaboration skills
• Ability to work independently while maintaining alignment with global teams
• Excellent documentation and knowledge transfer abilities
• A proactive approach to identifying and resolving potential issues

This role offers an exciting opportunity to work at the intersection of AI, data analytics, and enterprise software, helping organizations unlock the value of their data through innovative technology.

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