TECHNICAL TRAINING MANAGER

Zensar; Pune District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Zensar is seeking a senior technology learning leader in India to define end-to-end learning strategies across AI, cloud, data, and engineering. You will design and deliver comprehensive transformation programs, coach trainers and SMEs, and introduce labs, hackathons, and playbooks to scale learning across multiple tech stacks.

The role requires strong background in modern engineering and cloud platforms, with 5+ years in technical training or L&D leadership and excellent storytelling and

Qualifications

• 5+ years in technical training, presales, or L&D leadership.
• 5-7 years across software engineering, architecture, cloud, data, or AI.

Responsibilities

• Define and drive end-to-end technology learning strategy aligned to business and client needs.
• Design and package full-stack talent transformation solutions for strategic clients, including proposals, solution decks, roadmaps, and program architectures.
• Lead and coach trainers, architects, and SMEs across AI and other key technology areas to deliver high-quality, hands-on programs.
• Introduce new ways of working in tech trainings: labs, projects, hackathons, sandboxes, playbooks, and reusable templates across multiple tech stacks.
• Use learning platforms, virtual labs, and analytics to scale and personalize learning across AI, cloud, data, and engineering.
• Own competency paths for different personas across AI, cloud, data, engineering, and platforms.
• Guide design of learning on generative AI/LLMs plus adjacent areas such as cloud-native architectures, data engineering, APIs/microservices, security, and observability.
• Convert internal and client technology use cases into learning content, labs, and capstones that can be showcased in customer conversations.
• Act as technology counterpart to Program Management and L&D Operations for large internal and client-facing programs.
• Define entry/exit criteria, assessments, and readiness scorecards for multi-technology academies and transformation initiatives.
• Ensure trainers, labs, content, and environments are ready and aligned with program timelines, SOWs, and client commitments.

Skills

Software engineering

Architecture

Cloud

Data

AI

Technical training

Presales

L&D leadership

Communication

Slide-building

Education

Bachelor's in Computer Science/Engineering

Master's preferred

Tools

None

Job description

• Define and drive the end-to-end technology learning strategy (AI, cloud, data, modern engineering, architecture, platforms) aligned to business, delivery, and client needs.
• Design and package full-stack talent transformation solutions for strategic clients, including proposals, solution decks, roadmaps, and program architectures.

Trainers, methods, and innovation

• Lead and coach trainers, architects, and SMEs across AI and other key technology areas to deliver high-quality, hands-on programs.
• Introduce new ways of working in tech trainings: labs, projects, hackathons, sandboxes, playbooks, and reusable templates across multiple tech stacks.
• Use learning platforms, virtual labs, and analytics to scale and personalize learningacross AI, cloud, data, and engineering.

Candidate profile

Experience and skills

• 1 5 - 1 7 years across software engineering / architecture / cloud / data / AI , with 5+ years in technical training, presales, or L&D leadership.
• Proven experience running large-scale, multi-technology learning programs and presenting confidently to senior client stakeholders.
• Strong grounding in modern engineering, cloud platforms, data/analytics, and applied AI, with excellent communication, storytelling, and slide-building skills.

Education

• Bachelor s in Computer Science/Engineering or related; Master s preferred.

Certifications across one or more areas (e.g., major cloud providers, data/analytics, architecture, AI/ML, or DevOps) are highly desirable

Tech domains, AI learning, and governance

• Own competency paths for different personas across AI, cloud, data, engineering, and platforms (developers, architects, SRE/DevOps, PMs, domain experts, leaders).
• Guide design of learning on generative AI/LLMs plus adjacent areas such as cloud-native architectures, data engineering, APIs/microservices, security, and observability.
• Convert internal and client technology use cases into learning content, labs, and capstones that can be showcased in customer conversations.

Collaboration and delivery

• Act as technology counterpart to Program Management and L&D Operations for large internal and client-facing programs.
• Define entry/exit criteria, assessments, and readiness scorecards for multi-technology academies and transformation initiatives.
• Ensure trainers, labs, content, and environments are ready and aligned with program timelines, SOWs, and client commitments.