Practice & Data Science Lead
Job Description
We're Hiring | Practice & Data Science Lead (Data & AI Coach) | HCLTech
\nAre you a seasoned Data & AI leader passionate about enabling large-scale transformation through learning, coaching, and innovation? HCLTech is looking for an accomplished Practice & Data Science Lead (Data & AI Coach) to co-own our Data & AI Practice and drive capability development across global teams and leadership audiences.
\n📍 Location: Bengaluru | Chennai | Noida
\n💼 Experience: 15+ Years
\n🏢 Organization: HCLTech
\nAbout the Role
\nAs a Practice & Data Science Lead (Data & AI Coach), you will play a strategic role across the three pillars of our Data & AI Practice: Content, Capability, and Capacity. In addition to delivering world-class training programs, you will help shape curriculum strategy, build coach capability, manage practice operations, and support enterprise-wide AI adoption initiatives.
\nThis role demands deep expertise in Data Management, Data Governance, Generative AI, Applied AI, AI Ethics & Governance, Advanced Analytics, and Banking Transformation, along with the ability to engage audiences ranging from junior professionals to C-suite executives.
\nKey Responsibilities
\n📚 Content Excellence
\n'05; Own SME contributions for key curriculum areas including:
\n- \n
- Data Management Frameworks \n
- Data Governance & Data Lineage \n
- AI Governance & Responsible AI \n
- Generative AI & Prompt Engineering \n
'05; Drive curriculum blueprinting for VILT, SDL, and hands-on learning programs.
\n'05; Review and quality-assure training materials, labs, recordings, assessments, and learning assets before release.
\n'05; Manage content development timelines, stakeholder feedback cycles, and urgent curriculum revisions.
\n🎯 Capability Development & Coaching
\n'05; Deliver engaging instructor-led and virtual training programs for global audiences, from junior bankers to CXOs.
\n'05; Simplify complex concepts including:
\n- \n
- Enterprise Data Architecture \n
- AI & Machine Learning Models \n
- ETL & Data Pipelines \n
- Large Language Models (LLMs) \n
- Generative AI Applications \n
- AI Governance Frameworks \n
'05; Facilitate case studies, simulations, role-based exercises, and real-world banking use cases.
\n'05; Develop coach competency frameworks and enhance trainer capability on emerging AI technologies.
\n&99;️ Capacity Planning & Practice Operations
\n'05; Deputize for the Practice Lead in planning, governance, and escalation management.
\n'05; Manage VILT schedules, trainer allocations, readiness tracking, and delivery execution.
\n'05; Coordinate testing, QA activities, and technical validation for hands-on learning programs.
\n'05; Maintain weekly practice dashboards covering:
\n- \n
- Batch Progress \n
- Learner Participation \n
- Feedback Scores \n
- Trainer Utilization \n
- Resource Planning \n
'05; Support technical coach hiring, evaluation, and onboarding activities.
\n'05; Act as a primary client-facing representative for training engagements, delivery planning, and stakeholder communication.
\n🤖 AI Tools & Technical Expertise
\nWe're looking for professionals with hands-on experience across modern AI ecosystems:
\nAgentic AI & Coding Tools
\n'05; Claude Code
\n'05; OpenAI Codex
\n'05; Gemini AI Sandbox
\n'05; Agentic Coding Workflows & AI-Assisted Development
\nMicrosoft & Copilot Ecosystem
\n'05; Microsoft Copilot
\n'05; GitHub Copilot
\n'05; Azure Copilot Studio
\n'05; Copilot-Based Solution Development & Demonstrations
\nPreferred Experience
\n⭐ 15+ years of experience in Data Management, Analytics, AI, and Banking Transformation.
\n⭐ Experience leading or deputizing for large-scale learning and capability-building practices.
\n⭐ Deep expertise in:
\n- \n
- Data Governance \n
- Regulatory Compliance \n
- Risk & Controls \n
- Customer Analytics \n
- Enterprise Data Strategy \n
- Digital Transformation \n
⭐ Strong understanding of the Generative AI lifecycle and Responsible AI practices.
\n⭐ Proven ability to engage senior executives and articulate technology's business value.
\nCore Skills & Competencies
\n🔹 Data Governance & Data Management
\n🔹 Generative AI & Prompt Engineering
\n🔹 AI Ethics & Responsible AI
\n🔹 Data Science & Advanced Analytics
\n🔹 Banking & Financial Services Domain Expertise
\n🔹 Enterprise Learning & Capability Development
\n🔹 Stakeholder Management
\n🔹 Practice Leadership
\n🔹 Capacity & Resource Planning
\n🔹 Communication & Facilitation Excellence
\n🔹 Strategic Problem Solving
\n🔹 Executive Engagement
\nWhy Join HCLTech?
\nAt HCLTech, you'll have the opportunity to shape the future of Data & AI learning, influence enterprise transformation initiatives, and work with global clients at the forefront of digital innovation.
\n📢 If you're passionate about Data, AI, Banking Transformation, and developing future-ready talent, we would love to hear from you.
\n📩 Interested candidates can apply and be part of HCLTech's next generation Data & AI Practice.