- Work from Anywhere: No
- Minimum Experience (In Years): 15
- Maximum Experience (In Years): 25
Strategy and customer-facing solutions
- 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
- 15 - 17 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.
Responsibilities
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.
Qualifications
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
About Us
At Zensar, we’re
“experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose:
Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is
ONE with Client - a set of four core values that reflect who we are and how we work:
One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore
Life at Zensar and join us to
Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
