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 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.

NLocation: Hyderabad,India

NKey Responsibilities

nStrategic Leadership & Practice Growth

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- Define and execute the organization's Data, Analytics, AI, and Generative AI strategy aligned with business objectives.
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- Build and scale a high-performing Data & AI practice, including Data Engineering, Data Science, AI/ML, GenAI, and Solution Architecture capabilities.
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- Develop go-to-market strategies, solution offerings, accelerators, and industry-specific frameworks.
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- Drive revenue growth, profitability, and market expansion for the Data & AI portfolio.
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- Establish thought leadership through industry events, executive forums, whitepapers, and client engagements.
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nAI, Data Science &Analytics; Leadership

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- Lead the design, development, and deployment of advanced AI/ML, Generative AI, predictive analytics, NLP, recommendation engines, and intelligent automation solutions.
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- Define AI adoption roadmaps and enterprise AI strategies for clients.
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- Drive innovation using Large Language Models (LLMs), RAG architectures, Agentic AI, and AI governance frameworks.
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- Ensure implementation of Responsible AI, model governance, and enterprise AI best practices.
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- Oversee AI solution delivery from ideation through production deployment and value realization.
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nData Engineering &Cloud; Transformation

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- Lead enterprise-scale data modernization and cloud transformation initiatives.
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- Architect and implementscalable data platforms, data lakes, lakehouses, data warehouses, and real-time streaming solutions.
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- Define enterprise data governance, security, metadata management, and data quality strategies.
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- Drive adoption of modern cloud ecosystems and data platforms across AWS, Azure, and GCP.
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- Establish DataOps and MLOps practices to improve operational efficiency and scalability.
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nSolution Architecture & Consulting

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- Serve as executive sponsor and chief solution architect for strategic customer engagements.
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- Design end-to-end business and technology solutions that address complex customer challenges.
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- Lead architecture reviews, solution blueprints, transformation roadmaps, and implementation strategies.
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- Provide guidance on enterprise architecture, cloud modernization, AI adoption, and digital transformation programs.
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- Ensure solution scalability, performance, security, and compliance.
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nPre-Sales & Business Development

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- Partner with sales leadership to identify, qualify, and close strategic opportunities.
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- Lead client discovery workshops, executive presentations, capability demonstrations, and solution discussions.
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- Own RFP, RFI, RFQ responses, solution estimation, pricing strategies, and proposal development.
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- Develop compelling value propositions, business cases, and ROI frameworks for clients.
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- Build and maintain trusted relationships with C-level executives, business leaders, and technology stakeholders.
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- Support strategic account growth and large transformation pursuits.
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nLeadership & Talent Development

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- Build, mentor, and retain high-performing teams of Data Scientists, Data Engineers, AI Specialists, Architects, and Consultants.
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- Establish a culture of innovation, collaboration, accountability, and continuous learning.
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- Drive workforce planning, capability development, succession planning, and leadership grooming.
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- Foster solid collaboration across delivery, sales, product, engineering, and business teams.
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nRequired Qualifications

NEducation

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- Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related discipline.
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- 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.
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- Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Statistics, or a related discipline is highly desirable.




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nProfessional Experience

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- 18+ years of overall experience in Data Engineering, Data Science, Analytics, Artificial Intelligence, Cloud Technologies, or Digital Transformation.
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- 8+ years of experience leading large-scale Data & AI practices, consulting organizations, or technology teams.
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- Proven success in delivering enterprise-scale AI, analytics, and data transformation programs.
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- Demonstrated experiencemanaging P&L;, practice growth, business development, and strategic client relationships.
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- Strong experience supporting pre-sales, solution consulting, proposal development, and large deal pursuits.
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nTechnical Expertise

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- Machine Learning,Deep Learning, Predictive Analytics, and Statistical Modeling.
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- Generative AI, Large Language Models (LLMs), RAG, Agentic AI, NLP, and AI Governance.
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- Data Engineering, Data Warehousing, Data Lakes, Lakehouse Architectures, and Real-Time Data Platforms.
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- Cloud Platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP).
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- Big Data Technologies: Spark, Databricks, Hadoop Ecosystem, Kafka, and Distributed Computing.
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- MLOps, DataOps, CI/CD, Model Monitoring, and AI Lifecycle Management.
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- Enterprise Architecture, Solution Design, and Cloud-Native Application Architectures.
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nLeadership Competencies

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- Strong executive presence with exceptional communication and presentation skills.
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- Ability to influence senior stakeholders and C-level executives.
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- Strategic thinking withstrong business and commercial acumen.
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- Proven people leadership, mentoring, and organizational development experience.
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- Ability to lead global,cross-functional, and geographically distributed teams.
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nPreferred Certifications

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- AWS Certified Solutions Architect – Professional
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- Microsoft Certified: Azure Solutions Architect Expert
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- Google Professional Cloud Architect
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- Databricks Certified Data Engineer or Data Architect
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- AI/ML Certifications from AWS, Azure, GCP, or equivalent
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- TOGAF, SAFe, PMP, or Enterprise Architecture Certifications
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nKey Success Metrics

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- Revenue growth and profitability of the Data & AI practice.
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- Successful acquisition and closure of strategic opportunities.
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- Client satisfaction, retention, and business expansion.
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- Delivery of scalable AIand Data solutions with measurable business impact.
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- Team growth, leadershipdevelopment, and employee retention.
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- Innovation, thought leadership, and market differentiation.
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📌 Hiring: Director - Data Science & Data Engineering(Ai) (Hyderabad)
🏢 Prudent Technologies and Consulting
📍 Hyderabad