This role focuses on building a comprehensive, data-driven decision-making framework through the development of a provincial Labor Market Information System (LMIS) for Punjab. The objective is to align the supply of skills with both current and future economic demands by leveraging advanced analytics and integrating diverse data sources. The position requires expertise in analytics, artificial intelligence, econometrics, and data governance to support evidence-based policy and strategic planning.
Key Responsibilities
- Design and implement a Punjab-wide LMIS that integrates datasets from multiple sources to provide a holistic view of the labor market.
- Develop demand forecasting models that analyze sectoral, geographic, and occupational trends to anticipate future workforce needs.
- Establish a unique learner identification system and track learner lifecycle to monitor skill development and employment outcomes.
- Create provider performance metrics and trade viability indices to evaluate the effectiveness of educational and training institutions.
- Institutionalize data governance frameworks, including standards and interoperability protocols, to ensure data quality, security, and accessibility.
- Produce policy intelligence briefs and actionable insights for senior leadership to inform strategic decisions.
- Facilitate data-driven allocation of funding and prioritize programs based on evidence and market needs.
Required Qualifications
- Proven experience in advanced analytics, including AI and machine learning applications relevant to labor market data.
- Strong background in econometrics and statistical modeling.
- Expertise in data governance, including the development and enforcement of data standards and interoperability.
- Ability to translate complex data into clear policy recommendations and strategic insights.
- Experience managing large-scale data integration projects and multi-stakeholder collaboration.
- Familiarity with labor market dynamics and workforce development frameworks.
Preferred Qualifications and Benefits
While specific benefits are not detailed, candidates with additional experience in policy analysis, public sector program management, or economic development will be highly valued. The role offers the opportunity to influence provincial labor market strategies and contribute to sustainable economic growth through innovative data solutions.
Applications are welcomed until November 19, 2026.