Job DescriptionPosition Summary NWe 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. NThe ideal candidate will have a solid 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. NLocation: Hyderabad,India N Key Responsibilities N Strategic Leadership & Practice Growth Nn Define and execute the organization's Data, Analytics, AI, and Generative AI strategy aligned with business objectives. N Build and scale a high-performing Data & AI practice, including Data Engineering, Data Science, AI/ML, GenAI, and Solution Architecture capabilities. N Develop go-to-market strategies, solution offerings, accelerators, and industry-specific frameworks. N Drive revenue growth, profitability, and market expansion for the Data & AI portfolio. N Establish thought leadership through industry events, executive forums, whitepapers, and client engagements. Nn AI, Data Science & Analytics Leadership Nn Lead the design, development, and deployment of advanced AI/ML, Generative AI, predictive analytics, NLP, recommendation engines, and intelligent automation solutions. N Define AI adoption roadmaps and enterprise AI strategies for clients. N Drive innovation using Large Language Models (LLMs), RAG architectures, Agentic AI, and AI governance frameworks. N Ensure implementation of Responsible AI, model governance, and enterprise AI best practices. N Oversee AI solution delivery from ideation through production deployment and value realization. Nn Data Engineering & Cloud Transformation Nn Lead enterprise-scale data modernization and cloud transformation initiatives. N Architect and implementscalable data platforms, data lakes, lakehouses, data warehouses, and real-time streaming solutions. N Define enterprise data governance, security, metadata management, and data quality strategies. N Drive adoption of modern cloud ecosystems and data platforms across AWS, Azure, and GCP.



N Establish DataOps and MLOps practices to improve operational efficiency and scalability. Nn Solution Architecture & Consulting Nn Serve as executive sponsor and chief solution architect for strategic customer engagements. N Design end-to-end business and technology solutions that address complex customer challenges. N Lead architecture reviews, solution blueprints, transformation roadmaps, and implementation strategies. N Provide guidance on enterprise architecture, cloud modernization, AI adoption, and digital transformation programs. N Ensure solution scalability, performance, security, and compliance. Nn Pre-Sales & Business Development Nn Partner with sales leadership to identify, qualify, and close strategic opportunities. N Lead client discovery workshops, executive presentations, capability demonstrations, and solution discussions. N Own RFP, RFI, RFQ responses, solution estimation, pricing strategies, and proposal development. N Develop compelling value propositions, business cases, and ROI frameworks for clients. N Build and maintain trusted relationships with C-level executives, business leaders, and technology stakeholders. N Support strategic account growth and large transformation pursuits. Nn Leadership & Talent Development Nn Build, mentor, and retain high-performing teams of Data Scientists, Data Engineers, AI Specialists, Architects, and Consultants. N Establish a culture of innovation, collaboration, accountability, and continuous learning. N Drive workforce planning, capability development, succession planning, and leadership grooming. N Foster strong collaboration across delivery, sales, product, engineering, and business teams. Nn Required Qualifications N Education n N Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related discipline. N 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. N Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Statistics,



or a related discipline is highly desirable. Nn Professional Experience Nn 18+ years of overall experience in Data Engineering, Data Science, Analytics, Artificial Intelligence, Cloud Technologies, or Digital Transformation. N 8+ years of experience leading large-scale Data & AI practices, consulting organizations, or technology teams. N Proven success in delivering enterprise-scale AI, analytics, and data transformation programs. N Demonstrated experiencemanaging P&L;, practice growth, business development, and strategic client relationships. N Strong experience supporting pre-sales, solution consulting, proposal development, and large deal pursuits. Nn Technical Expertise Nn Machine Learning,Deep Learning, Predictive Analytics, and Statistical Modeling. N Generative AI, Large Language Models (LLMs), RAG, Agentic AI, NLP, and AI Governance. N Data Engineering, Data Warehousing, Data Lakes, Lakehouse Architectures, and Real-Time Data Platforms. N Cloud Platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). N Big Data Technologies: Spark, Databricks, Hadoop Ecosystem, Kafka, and Distributed Computing. N MLOps, DataOps, CI/CD, Model Monitoring, and AI Lifecycle Management. N Enterprise Architecture, Solution Design, and Cloud-Native Application Architectures. Nn Leadership Competencies Nn Strong executive presence with exceptional communication and presentation skills. N Ability to influence senior stakeholders and C-level executives. N Strategic thinking withstrong business and commercial acumen. N Proven people leadership, mentoring, and organizational development experience. N Ability to lead global,cross-functional, and geographically distributed teams. Nn Preferred Certifications Nn AWS Certified Solutions Architect – Professional N Microsoft Certified: Azure Solutions Architect Expert N Google Professional Cloud Architect N Databricks Certified Data Engineer or Data Architect N AI/ML Certifications from AWS, Azure, GCP, or equivalent N TOGAF, SAFe, PMP, or Enterprise Architecture Certifications Nn Key Success Metrics Nn Revenue growth and profitability of the Data & AI practice. N Successful acquisition and closure of strategic opportunities. N Client satisfaction, retention, and business expansion. N Delivery of scalable AIand Data solutions with measurable business impact. N Team growth, leadershipdevelopment, and employee retention. N Innovation, thought leadership, and market differentiation. N

📌 Director - Data Science & Data Engineering(Ai) (Hyderabad)
🏢 Prudent Technologies and Consulting
📍 Hyderabad