Data Science & GenAI Practice Director

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-every 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 through.

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, 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

Visualization tools like Quicksight, Grafana.

good understanding of Azure and hybrid / multi-cloud strategies, including integration with SAP, Salesforce, ServiceNow, and Dynamics.

adept at leading technical and business discussions and mentoring / leading diverse teams.

Preferred Qualifications

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 is thrive on leading teams, mentoring talent, exploring RAG models, building agentic AI, and consistently deliver business impact – it will be the next big move.

Interested can share the CV on divya.s@locuz.com