Director Data Science & Data Engineering(AI)

As a Director Data Science, Data Engineering, AI Solutions & Pre-Sales, you will play a crucial role in leading the AI and Data practice, driving strategic growth, and delivering transformative solutions for global clients. Your responsibilities will include: - 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, lakehouses, 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 DataOps 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. - 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. Qualification Required: - Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related discipline. - Master's degree (MBA, M.Tech, MS, MCA, or equivalent) in Computer Science, Artificial Intelligence, Data Science, Analytics, Engineering, Business Administration, or a related field is strongly preferred. - Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Statistics, or a related discipline is highly desirable. This position offers you the opportunity to showcase your technical depth, consulting expertise, client-facing leadership, and business acumen while building high-performing teams, winning strategic opportunities, and delivering measurable business outcomes through data-driven innovation. As a Director Data Science, Data Engineering, AI Solutions & Pre-Sales, you will play a crucial role in leading the AI and Data practice, driving strategic growth, and delivering transformative solutions for global clients. Your responsibilities will include: - 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