Location: New Delhi with a hybrid set-up
Duration: 3 months
Type: Consultancy
Reports to: Associate Director – Strategy & Partnerships, GxD hub
About LEAD at Krea University:
LEAD is an action-oriented research centre of IFMR Society (a not-for-profit society registered under the Societies Act), leverages the power of research, innovation and co-creation to solve complex and pressing challenges in development. LEAD specialises in developing in-depth granular understanding of socio-economic contexts and harnessing actionable insights that have a wide range of applications in industry, policy, and academia. LEAD is a collaborative hub that brings experts from diverse disciplines and sectors together to develop innovative solutions by harnessing innovation, technology and analytics.
About GxD hub:
The GxD (Gender x Digital) hub is an initiative of LEAD at Krea University (IFMR), focused on addressing the critical intersections between gender and digital systems in India. Through rigorous research, strategic partnerships, and ecosystem engagement, the hub works to inform gender-intentional and inclusive digital platform design and implementation.
About the Sanmati 2.0 Project:
The Sanmati 2.0 Project is building a structured, standardised taxonomy of digital and AI-enabled work that maps job roles, tasks, skills, and complexity levels across sectors. It focuses on recognising the work of rural and semi-urban informal workers — particularly women — and aligning it with national and international skills frameworks.
The taxonomy captures:
- Digital and AI-enabled tasks across industries;
- Skill bands pegged to the NSQF with clear task complexity levels;
- Linkages to credentialing and workforce mobility pathways;
- Sector-specific and cross-sector task mappings for practical adoption in hiring, skilling, and policy.
Role Overview:
The consultant will review, refine, and validate the Digital Work Taxonomy, ensuring:
- Alignment with existing national/international frameworks;
- Technical rigour and internal consistency;
- Usability by government, industry, and skilling bodies;
- Applicability for credentialing, labour market analysis, and workforce planning.
Key Responsibilities:
1. Technical Review & Refinement
- Audit the taxonomy structure, definitions, and categorisations for scientific and methodological rigour;
- Identify overlaps, gaps, and inconsistencies, and propose revisions.
2. Standards Alignment & Interoperability
- Map taxonomy skill bands and complexity levels to NSQF and relevant national/global frameworks;
- Recommend metadata and structuring standards to enable integration with digital credentialing systems.
3. Skills Mapping & Credentialing Pathways
- Refine skill definitions for each task cluster, integrating hard and soft skills;
- Recommend how these map to job roles, industry demand, and upward mobility pathways.
5. Documentation & Guidelines
- Prepare a user manual and implementation guidelines for government, industry, and training providers.
Required Qualifications & Experience:
- Master’s degree in economics, public policy, or a related technical field is preferred but not mandatory;
- 8–12 years’ experience in skills framework design, occupational standards development, or large-scale workforce taxonomy creation;
- Demonstrated work with national skills bodies or global frameworks;Â
- Proven expertise in NSQF mapping and sectoral skill standards;
- Strong understanding of digital economy roles, AI-enabled work, and labour market trends;
- Experience in gender-responsive workforce development.
Application Instructions:
Deadline: Applications will be open till the position is filled. To apply, please collate your resume, a cover letter and writing sample in a single PDF and apply in the form here.
Note: Due to the large volume of applications we receive, we are unable to contact each candidate individually regarding the status of their application. Only shortlisted applicants will be contacted for interview purposes.
Job Features
| Job Category | Consultants |
