Faculty (WGDT)

Faculty

Key Responsibilities

• Learning Strategy & Subject Matter Expertise:

• Work in conjunction with the WGDT Academy team to determine subject matter and optimal methodologies for training central and state government bureaucrats.

• Create compelling content on Emerging Technologies

  such as

  data science, machine learning, computer vision, natural language processing, and Generative AI

  , tailored for a senior audience with relevant social sector examples and use cases.
• Help formulate

  case studies using no/low code tools

  for senior policymakers.
• Review learning content designed by Curriculum Designers to ensure accuracy and depth from a subject matter perspective.
• Research, produce, and deliver high-quality learning assets including training decks, facilitator guides, learner guides, assessments, and other supporting content.

• Learning Delivery:

• Demonstrate strong teaching skills

  for a senior audience in both classroom and virtual classroom environments, adapting teaching styles as needed.
• Manage multiple teaching projects simultaneously and liaise with stakeholders to execute course requirements.
• Take full responsibility for assigned cohorts, from classroom setup and group assignments to learning interventions, and subsequent data collection on usage, assessment, quality, and feedback.
• Effectively collate and illustrate points using

  flipped classroom and case study methodologies

  , aligning with adult learning principles.
• Identify and address individual learner requirements, ensuring no student is left behind through follow-ups for assignments, assessments, and feedback.
• Demonstrate excellent stakeholder relationship management skills.
• Utilize modern communication tools like

  Teams, Zoom

  , or other learning platforms as required.
• Possess experience in both in-person and online training for a senior audience.

Qualifications

• Education:

  At least a

  Bachelor's degree

  .

• Experience:

• Extensive experience as a trainer in emerging technologies (freelance or full-time).
• Experience in using and creating content for Virtual Learning platforms and MOOCs.
• Experience in building new case studies, use cases, and assessments in emerging technology areas.
• Work in governance and policy will be an asset but is not essential.

• Aptitude:

  Talent for effectively engaging adult students of diverse ages and backgrounds, instructing senior-level learners.

Skills & Expertise

• Technical Skills:

• Expert-level knowledge

  of one or more Emerging Technologies such as

  data science, machine learning, computer vision, natural language processing, Generative AI, and large language models

  .
• Knowledge of

  no/low code tools like Orange/Knime

  is helpful (but not essential).
• Knowledge of

  Python/R

  is helpful (but not essential).

• Pedagogical Skills:

• Ability to teach complex technical subjects to a non-technical audience, using simple language and avoiding excessive jargon.
• Awareness and deep knowledge of the subject area, including the latest analytics-based technologies.
• Ability to handle and engage a heterogeneous participant base with maturity.

• Communication & Interpersonal Skills:

• Highly effective

  verbal communication skills

  .
• Strong interpersonal skills for stakeholder relationship management.