Job Description – Head / Lead, Assessment Content & Solutions
Role Overview
We are seeking an experienced Assessment Content & Solutions Leader to lead the design, development, innovation, and delivery of technology-based assessments for our online assessment platform.
The role owns the development of MCQs, coding assessments, hands-on exercises, projects, and auto-graded assessments across IT skills, while driving innovation in assessment methodologies, AI-enabled content development, auto-grading, and assessment-platform capabilities.
The role works closely with Content, Product, Engineering, SMEs, Sales/Pre-Sales, and enterprise clients to translate complex skill-assessment requirements into scalable content, product, and solution capabilities.
Key Responsibilities
1. Assessment Content & Team Leadership
- Lead development of MCQs, coding questions, hands-on assessments, projects, and other technical assessment formats.
- Define assessment standards, quality frameworks, review processes, proficiency models, and content governance.
- Ensure assessments are technically accurate, industry relevant, appropriately challenging, and aligned with defined skills.
- Build and manage internal teams and external SMEs across established and emerging technologies.
- Drive productivity, quality, scalability, and continuous improvement across the assessment lifecycle.
2. Auto-Grading, AI & Technical Innovation
- Lead PoCs, R&D, and experimentation to expand automated assessment and auto-grading capabilities.
- Define evaluation logic, validation rules, test cases, scoring methodologies, and technical requirements for coding, database, cloud, DevOps, AI/ML, cybersecurity, API, full-stack, and other technology assessments.
- Partner with Engineering to convert successful concepts into scalable platform features.
- Drive practical adoption of Generative AI and LLMs for question generation, content validation, skill tagging, blueprinting, rubric creation, feedback, and automated evaluation.
- Establish effective human-review and quality-control mechanisms for AI-generated content and evaluations.
3. Assessment Platform & Product Ownership
- Act as a domain expert and business/product owner for assessment-engine capabilities.
- Identify platform gaps, new assessment use cases, and opportunities for product enhancement.
- Define business requirements, functional specifications, workflows, use cases, test scenarios, and acceptance criteria.
- Collaborate with Product and Engineering on capabilities covering authoring, coding assessments, project evaluation, auto-grading, analytics, reporting, AI-assisted assessment creation, and content management.
- Validate new features from functional, usability, assessment-quality, and enterprise-use-case perspectives.
- Contribute assessment-domain expertise to product roadmap discussions.
4. Assessment Solutioning & Client Consulting
- Translate complex enterprise requirements into practical and scalable assessment solutions.
- Design assessment strategies combining MCQs, coding, hands-on labs, projects, case-based assessments, and automated evaluation.
- Define skill frameworks, assessment blueprints, proficiency levels, difficulty distribution, scoring approaches, and evaluation methodologies.
- Support use cases including hiring, learning & development, skill benchmarking, certification, internal mobility, and workforce transformation.
- Partner with Sales and Pre-Sales teams on strategic opportunities, requirement discovery, solution workshops, presentations, and client proposals.
- Act as a senior assessment consultant for client discussions, solution design, escalations, and technical assessment queries.
5. Documentation, Governance & Market Intelligence
- Establish documentation and knowledge-management standards across the assessment function.
- Own assessment frameworks, authoring guidelines, SOPs, technical specifications, product requirements, solution documents, skill taxonomies, PoC documentation, and quality processes.
- Ensure version control, traceability, review, approval, and lifecycle management of assessment content.
- Track trends across EdTech, technical hiring, learning, skill-management, certification, and assessment platforms.
- Benchmark competitors across coding assessments, hands-on labs, auto-grading, AI, proctoring, analytics, adaptive assessments, and enterprise capabilities.
- Recommend product and assessment innovations based on market trends and evolving technology skills.
Required Skills & Experience
- Significant experience in EdTech, online assessment, technical skilling, learning technology, or technology-enabled talent assessment.
- Strong experience developing or managing MCQs, coding assessments, hands-on labs, projects, and automated evaluations.
- Broad technical understanding across areas such as:
- Java, .NET, Python, JavaScript and Full-Stack Development
- SQL, Databases, APIs and Microservices
- AWS, Azure and GCP
- DevOps, CI/CD, Docker and Kubernetes
- Data Engineering and Analytics
- AI/ML and Generative AI
- Cybersecurity
- Software Testing and Automation
- Strong understanding of auto-grading, evaluation logic, scoring, assessment quality, skill mapping, and proficiency frameworks.
- Practical knowledge of Generative AI, LLMs, prompt engineering, and AI-assisted content/evaluation workflows.
- Experience working with Product and Engineering teams on technology-product requirements, validation, and enhancement.
- Strong capability in requirement analysis, documentation, structured problem solving, and solution design.
- Strong client-facing, presentation, stakeholder-management, and communication skills.
- Experience leading assessment, technical-content, SME, or solution teams.
Preferred Profile
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Approximately 10–15+ years of overall experience, including significant exposure to technical assessments, EdTech, content development, assessment product development, or technology solutioning.
- Experience with coding platforms, online assessment platforms, LMS/LXP systems, skill-management platforms, or certification ecosystems.
- Experience managing cross-functional collaboration across Content, SMEs, Product, Engineering, QA, Sales, and Client Solutions.
Key Competencies
Assessment & Technical Expertise: Strong understanding of assessment design, technical skills, coding/hands-on evaluation, proficiency frameworks, scoring, and quality standards.
Product & Innovation Mindset: Ability to identify platform gaps, define requirements, validate features, and drive innovation in assessment and auto-grading capabilities.
AI Orientation: Ability to apply AI/Generative AI effectively across assessment creation, quality assurance, evaluation, and feedback.
Solutioning & Consulting: Ability to convert complex enterprise requirements into scalable assessment frameworks and solutions.
Leadership & Communication: Ability to lead multidisciplinary teams and effectively engage senior internal stakeholders, SMEs, engineering teams, and enterprise clients.
Role Success Measures
Success will be measured through assessment quality and scalability, expansion of auto-grading capabilities, successful delivery of assessment-platform enhancements, adoption of AI-enabled assessment practices, effectiveness of enterprise solutions, strength of content governance and documentation, team performance, and client satisfaction.
Pay: ₹2,000,000.00 - ₹2,500,000.00 per year
Benefits:
- Cell phone reimbursement
- Health insurance
- Paid sick time
- Provident Fund
Work Location: In person
