Data Analytics Tech Lead

Job Title Data ML AI GenAI Practice Leader Experience 10 years Location Hyderabad At the forefront of data-driven innovation our team empowers organizations to unlock strategic value through advanced analytics AI ML and next-gen GenAI solutions built on cloud-native platforms and optionally deploying AI ML in data centers As a technology Lead he she will work with enterprises startup founders and government agencies to build robust data capabilities across Data Engineering Analytics Machine Learning Generative AI and emerging agentic architectures Primary responsibility will be to craft future-ready fail-proof strategies for clients by leading presales and post-sales efforts while actively shaping solution architecture and guiding delivery teams to execute with excellence and on time We are seeking an experienced and visionary Data AI ML Gen AI Leader to establish and scale our AI practice The ideal candidate will bring deep expertise in machine learning LLMs data science and GenAI platforms and will be responsible for defining the technical roadmap driving innovation mentoring teams and delivering impactful Data and AI solutions across industries He She will collaborate with C-suite leaders and technical stakeholders from ideation to execution As a thought leader he she is expected to bring best practices from both presales and delivery bridge the gap between business needs and technical complexity and stay ahead of rapid shifts in data AI GenAI and agentic technologies This role requires a blend of strategic thinking hands-on technical capability and leadership acumen to shape and grow the organization s Data AI and GenAI capabilities We expect hands-on expertise in cloud platforms with AWS as primary Good Snowflake knowledge Azure awareness a good understanding of enterprise platforms SAP Salesforce ServiceNow Dynamics and experience with leading databases Oracle MySQL and ETL tools like Glue Fivetran EMR Work to be done Build mentor and lead a cross-functional AI team including data scientists ML engineers data engineers and solution architects Lead the design development and deployment of cloud-native data AI ML and GenAI platforms leveraging AWS SageMaker Bedrock Lambda Glue EMR Kinesis Redshift Athena AppFlow Step Functions Rekognition Textract Comprehend Architect and oversee the design and deployment of end-to-end AI ML pipelines including data ingestion model training evaluation and deployment Optimize ETL pipelines lakehouses and advanced analytics solutions on AWS and Snowflake Lead Generative AI initiatives such as intelligent chatbots document summarization knowledge assistants and code-generation solutions Translate complex client problems into actionable data and AI strategies through POCs MVPs and production-grade deployment leveraging open-source and enterprise AI stacks including agentic AI frameworks RAG workflows and enterprise MLOps DataOps best practices Define implement and enforce data governance master data management MDM cataloging and lineage frameworks for accuracy integrity and compliance - working across Oracle MySQL and other enterprise data sources Conduct platform health reviews data AI quality assessments root cause analyses and continuous improvement for reliability and performance Partner with business sales and product teams to shape tailored proposals SoW pricing and effort estimation for large-scale enterprise data AI and GenAI projects Mentor and lead delivery teams - ensuring best practices across presales solution architecture and project execution with exposure to ETL tools like Fivetran EMR Glue and scalable database management Engage with partners AWS Microsoft NVIDIA etc for joint solution development Required Skills Experience 8 -10 years of experience in data analytics and AI ML with deep cloud expertise AWS mandatory Snowflake desired Azure GCP and ETL tools like Fivetran good to have Demonstrated leadership in presales architecting solution workshops client engagement and enterprise data AI delivery across platforms such as SAP Salesforce ServiceNow and Dynamics Proficiency with cloud-based AI services Amazon SageMaker Vertex AI Bedrock OpenAI APIs Cloud-based data and ETL services like Glue EMR Kinesis Redshift Visualization tools like Quicksight Grafana Deep understanding of machine learning algorithms deep learning frameworks TensorFlow PyTorch Hugging Face LLM fine-tuning techniques and programming stack like Python Spark Scala Strong understanding of vector databases RAG Retrieval Augmented Generation and prompt optimization techniques Experience building or deploying GenAI Agentic AI including RAG models data agents and leveraging the latest in cognitive enterprise AI trends good understanding of Azure and hybrid multi-cloud strategies including integration with SAP Salesforce ServiceNow and Dynamics Proven advocacy and implementation of DataOps MLOps data governance and metadata management at scale utilizing a mix of modern enterprise tools and native cloud services Exceptional analytical solution design and communication skills adept at leading technical and business discussions and mentoring leading diverse teams Preferred Qualifications AWS Certified Machine Learning - Specialty AWS Data Analytics Professional or SnowPro Certification Certification or specialization in Generative AI NLP or Deep Learning from reputed platforms e g Coursera Stanford NVIDIA DLI Experience leading global or US-based client engagements and shaping enterprise data AI strategies from presales to delivery Exposure to Azure AI Data services enterprise platform integrations SAP Salesforce ServiceNow Dynamics metadata catalog tools and designing modern data operating models Experience with large-scale proposals SoW creation and bringing best-in-class presales and delivery practices Our Culture and Purpose We believe diverse perspectives drive innovation Our inclusive culture empowers you to be authentic nurtures curiosity and prioritizes continuous learning We provide an environment where the person can truly grow as a leader master the latest in data and GenAI and deliver measurable impact for clients and communities This is where passion for architecting data and AI solutions meets meaningful business influence If one thrives on leading teams mentoring talent exploring RAG models building agentic AI and consistently delivering business impact it will be the next big move