Artificial Intelligence and Machine Learning Portfolio Lead

Posted 1 day 5 hours ago by World Food Programme

Permanent
Full Time
Other
Bayern, München, Germany, 80331
Job Description

Artificial Intelligence and Machine Learning Portfolio Lead

Apply locations: Munich, Germany
Time type: Full time
Posted on: Posted 2 Days Ago
Job requisition id: JR109195

DEADLINE FOR APPLICATIONS: 30 January 2025-23:59-GMT:00 Central European Time (Berlin)

WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status or disability.

ABOUT WFP:
The World Food Programme is the world's largest humanitarian organization saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity, for people recovering from conflict, disasters and the impact of climate change.

At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves.

WHY JOIN WFP?

  • WFP is a 2020 Nobel Peace Prize Laureate.
  • WFP offers a highly inclusive, diverse, and multicultural working environment.
  • WFP invests in the personal & professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities.
  • A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe.
  • We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement).

JOB TITLE: Artificial Intelligence and Machine Learning Portfolio Lead

TYPE OF CONTRACT: Consultancy

UNIT/DIVISION: WFP Innovation Accelerator, INNA

DUTY STATION (City, Country): Munich, Germany

DURATION: 6 months extendable

BACKGROUND AND PURPOSE OF THE ASSIGNMENT:
The World Food Programme (WFP) is the United Nations frontline agency fighting hunger. WFP reaches more than 100 million people every day - delivering food assistance in emergencies and working with smallholder farmers, communities, and governments to improve nutrition and build resilience.

The WFP Innovation Accelerator was named by Fast Company as Most Innovative Non-Profit Organization 2021 for its work in identifying, nurturing, and scaling disruptive start-ups and innovations to end global hunger. Based in Munich, Germany, the Innovation Accelerator provides WFP employees, entrepreneurs, and start-ups with funding, hands-on support, and access to WFP's global operations. Through the Innovation Accelerator, WFP is leveraging unprecedented advances in digital innovation - such as mobile technology, artificial intelligence and blockchain - and new business models to transform the way it serves vulnerable communities across the world.

ACCOUNTABILITIES/RESPONSIBILITIES:

The incumbent, reporting to the Head of Innovative Finance, Frontier Innovations and Venture Launchpad, is expected to:

  1. Drive the Artificial Intelligence and Machine Learning (AI/ML) Strategy Development and Project Portfolio Management.
  2. Provide Technical Advisory & Thought Leadership Services.
  3. Support the overall Innovation Accelerator operations.

DELIVERABLES AT THE END OF THE CONTRACT:

  • Develop an AI/ML strategy for the WFP Innovation Accelerator to inform WFP's investments in this space.
  • Generate a pipeline of external and internal AI/ML projects and ensure that AI/ML technologies are being used to deliver maximum value to WFP.
  • Build partnerships with external organizations to help maximize AI/ML value-add within WFP operations and impact in the field.
  • Ensure that all work and materials developed during the contract are well documented and available to the WFP Innovation Accelerator team.

QUALIFICATIONS & EXPERIENCE REQUIRED:

Education: Bachelor's degree in engineering, business, economics, marketing, analytics, or other related quantitative discipline preferred. Master's degree is a plus.

Experience: At least 5 years of progressively responsible international experience in technology strategy and portfolio management, product development, project, and partnership management. Experience with current AI/ML technologies and landscape required.

Knowledge & Skills:

  • Technical understanding of AI/ML applications and methodologies.
  • Experience in innovation project life cycle.
  • Piloting and scaling of AI/ML solutions in WFP presence countries desired.
  • Demonstrated ability to translate complex issues for a non-technical audience.
  • Demonstrated outstanding analytical and quantitative skills.
  • Experience working cross-functionally.
  • Proven track record of driving and implementing projects.
  • Able to generate new and original solutions to complex problems.
  • Excellent communication/presentation skills.
  • Collaborative spirit.
  • Self-motivated and able to work with a high degree of autonomy.
  • Fully committed and motivated to achieve the aims of the UN World Food Programme.

Languages: Fluency in oral and written English is required. Intermediate knowledge of another official UN language is considered advantageous.

WFP LEADERSHIP FRAMEWORK: WFP Leadership Framework guides to the common standards of behavior that guide HOW we work together to accomplish our mission.

REASONABLE ACCOMMODATION: WFP is dedicated to fostering diversity, equity, and inclusion.

NO FEE DISCLAIMER: The United Nations does not charge any application, processing, training, interviewing, testing or other fee in connection with the application or recruitment process.