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Open nowPosted 107 days ago

Director – Data Science & Data Engineering(AI)

PRUDENT GLOBALTECH SOLUTIONS - PIDC Hyd14 open roles

Where
Hyderabad
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Your applicationOpen nowDirector – Data Science & Data Engineering(AI)PRUDENT GLOBALTECH SOLUTIONS - PIDC Hyd · Hyderabad

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The clock on this job

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11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 107 days ago

The posting

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, 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.
  • 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 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.

Professional Experience

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

Technical Expertise

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

Leadership Competencies

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

Preferred Certifications

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

Key Success Metrics

  • Revenue growth and profitability of the Data & AI practice.
  • Successful acquisition and closure of strategic opportunities.
  • Client satisfaction, retention, and business expansion.
  • Delivery of scalable AI and Data solutions with measurable business impact.
  • Team growth, leadership development, and employee retention.
  • Innovation, thought leadership, and market differentiation.
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