Director – Data Science & Data Engineering; AI

Position: Director – Data Science & Data Engineering(AI)
Position Summary
We are seeking an accomplished and visionary  Director – Data Science, Data Engineering, AI Solutions & Pre-Sales  to lead our AI and Data practice, drive strategic growth, and deliver transformative solutions for global clients. This role combines executive leadership, solution architecture, business development, pre-sales consulting, and delivery oversight across Data Engineering, Data Science, Artificial Intelligence, Generative AI, Analytics, and Cloud platforms.
The ideal candidate will have a strong blend of technical depth, consulting expertise, client-facing leadership, and business acumen, with a proven ability to build high-performing teams, win strategic opportunities, and deliver measurable business outcomes through data-driven innovation.

Location:

Hyderabad,India

Key Responsibilities

Strategic Leadership & Practice Growth
Define and execute the organization's Data, Analytics, AI, and Generative AI strategy aligned with business objectives.
Build and scale a high-performing Data & AI practice, including Data Engineering, Data Science, AI/ML, GenAI, and Solution Architecture capabilities.
Develop go-to-market strategies, solution offerings, accelerators, and industry-specific frameworks.
Drive revenue growth, profitability, and market expansion for the Data & AI portfolio.
Establish thought leadership through industry events, executive forums, whitepapers, and client engagements.
AI, Data Science & Analytics Leadership
Lead the design, development, and deployment of advanced AI/ML, Generative AI, predictive analytics, NLP, recommendation engines, and intelligent automation solutions.
Define AI adoption roadmaps and enterprise AI strategies for clients.
Drive innovation using Large Language Models (LLMs), RAG architectures, Agentic AI, and AI governance frameworks.
Ensure implementation of Responsible AI, model governance, and enterprise AI best practices.
Oversee AI solution delivery from ideation through production deployment and value realization.
Data Engineering & Cloud Transformation
Lead enterprise-scale data modernization and cloud transformation initiatives.
Architect and implement scalable data platforms, data lakes, lake houses, data warehouses, and real-time streaming solutions.
Define enterprise data governance, security, metadata management, and data quality strategies.
Drive adoption of modern cloud ecosystems and data platforms across AWS, Azure, and GCP.
Establish Data Ops and MLOps practices to improve operational efficiency and scalability.
Solution Architecture & Consulting
Serve as executive sponsor and chief solution architect for strategic customer engagements.
Design end-to-end business and technology solutions that address complex customer challenges.
Lead architecture reviews, solution blueprints, transformation roadmaps, and implementation strategies.
Provide guidance on enterprise architecture, cloud modernization, AI adoption, and digital transformation programs.
Ensure solution scalability, performance, security, and compliance.
Pre-Sales & Business Development
Partner with sales leadership to identify, qualify, and close strategic opportunities.
Lead client discovery workshops, executive presentations, capability demonstrations, and solution discussions.
Own RFP, RFI, RFQ responses, solution estimation, pricing strategies, and proposal development.
Develop compelling value propositions, business cases, and ROI frameworks for clients.
Build and maintain trusted relationships with C-level executives, business leaders, and technology stakeholders.
Support strategic account growth and large transformation pursuits.
Leadership & Talent Development
Build, mentor, and retain high-performing teams of Data Scientists, Data Engineers, AI Specialists, Architects, and Consultants.
Establish a culture of innovation, collaboration, accountability, and continuous learning.
Drive workforce planning, capability development, succession planning, and leadership grooming.
Foster strong collaboration across delivery, sales, product, engineering, and business teams.

Required Qualifications
Education
Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial…