Strategy Expert for Linguistic Diversity in AI

  • Mid-level, Full-time staff position
  • Posted on 7 November 2025
  • Save for later

Job Description

Duties and Responsibilities

Co-manage design and lead implementation of UNDP’s Local Language Accelerator Programme; resulting in at least 9 countries building more inclusive AI ecosystems:

  • Develop recommendations for the strategic direction and delivery mechanism of UNDP’s Local Language Accelerator Programme
  • Manage country implementations and guide the Data & AI Project Analyst in achieving results from implementation in at least 9 countries
  • Maintain and scale enabling stakeholder relationships by engaging with funders, co-implementors and experts on closing the language gap in AI and supporting resource mobilization for the DAI Hub on linguistic diversity in AI

Co-manage design and lead implementation of UNDP’s Global Campaign on “Every Language Matters”:

  • Work with UNDP’s knowledge & strategy team to define strategic approach and ensure smooth implementation
  • Secure meaningful commitments of at least 5 government
  • Lead the implementation of at least 2 events on the campaign with high-level participation

Contribute to UNDP’s knowledge products (e.g. blogs, white papers) and global advocacy on Linguistic Diversity in AI, in coordination with the communication specialist and knowledge & strategy lead

The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organisation.

The Strategy Expert for Linguistic Diversity in AI reports to the Data Capability Lead, Digital & AI Programmes at the Digital, AI and Innovation Hub in UNDP’s Bureau for Policy and Programme Support.

Education

Advanced university degree (Master’s degree or equivalent) in Public Administration, International Development, Law, Economics, Computer Science, Data Science, or a related field is required, or A first-level university degree (bachelor´s degree) in the areas stated above in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.

Required Skills and Experience

  • A minimum of 5 years (with master’s degree) or 7 years (with bachelor’s degree) of experience in international development, the technology sector (data/AI) or public sector is required.
  • Demonstrated experience in project leadership of multi-year projects.
  • Demonstrated experience in engaging with policymakers in public and/or private sector within the scope of digital transformation.
  • Demonstrated experience in guiding junior team members.
  • Deep understanding of challenges and opportunities in closing the language gap in AI.

Desired Skills

  • Experience in designing and/or implementing global advocacy campaigns
  • Deep understanding of inclusive digital transformation, including digital public infrastructure
  • Demonstrated experience in capturing and synthesizing information on an ongoing basis to produce analysis and recommendations
  • Demonstrated experience working with the UN or other large scale development organization
  • Demonstrated experience in resource mobilization is desired
  • Comfort with Ambiguity: Have the ability to navigate unstructured or evolving work environments in a composed and professional manner. Agile in making progress even when specific outcomes or processes aren’t clear. Constantly show a willingness to iterate and learn as you go, particularly in fast-changing environments. Highly adaptable with the ability to confidently shift priorities or stakeholder needs
  • Problem-Solving: Proactively seek solutions when identifying gaps, inefficiencies and/or roadblocks. Effectively manage competing priorities while also maintaining quality and speed. Able to communicate solutions clearly and work in a highly coordinated way, collaboratively across different teams to implement them
  • Systems-Thinking: Bring a structured mindset to designing scalable, sustainable processes. Strong ability to recognize interdependencies across a wide range of complex projects . Ability to spot patterns and anticipate cross-functions impacts across several programs and teams.

DEADLINE: NOVEMBER 21, 2025

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