Head of Field Data Services P3

DELIVERABLES:

• The Field Data Team is established with clear roles and responsibilities, and work plans aligned with the Global Data Office.
• Develop Terms of Reference and implement the operational model for Regional Data Coordinator and Country Office Data Working Group alignments.
• Create and maintain a list of Data Stewards and Data Custodians in Country Offices and Regional Bureau.
• Create and maintain a regular cadence of meetings to update Regional Data Coordinators and Country Office Data Working Groups on the latest activities, systems, and data products.
• Update Knowledge Management repositories with documentation on procedures and artifacts developed for the Regional Data Coordinators and Country Office Data Working Groups.
• Work with the Regional Data Coordinator on activities and missions to strengthen Country Office data lifecycles and data quality and facilitate the involvement of local data and AI talent.
• Monitor progress on work plans and report regularly on achievements. Management of field data team including recruitment, onboarding, performance evaluations, budget, coaching, and technical supervision of Regional Data Coordinators.

QUALIFICATIONS & EXPERIENCE REQUIRED:

Education:

• Advanced university degree (Master’s degree or equivalent) in computer science, data science, analytics, statistics, information management, public administration, management, business, or a related field. A first-level university degree in combination with qualifying experience may be accepted instead of the advanced university degree.

Experience:

• A minimum of 5 years of progressively responsible experience in developing advanced analytics practices and teams and implementing applied analytics, business intelligence, information management, and statistics, is required. In which, a minimum of 2 years of experience in leading Artificial Intelligence projects from initiation to full roll-out is desirable.
• Demonstrated experience working with indicators, visualization layers, and reporting infrastructure.

Knowledge & Skills:

• Excellent analytical skills with the ability to collect, organize, manage, and disseminate significant amounts of information with attention to detail and accuracy. The ability to analyze, model, and interpret data in support of decision-making, and convey information succinctly to stakeholders. Adept at queries, report writing, and presenting findings. Ability to quality-check work completed by other team members.
• Hands-on experience in delivering analytics and AI projects and initiatives.
• Ability to link Enterprise and Data architecture and data governance with data modeling and analytics/business intelligence requirements.
• Hands-on experience in the implementation of data governance utilizing data steward and data custodian model.
• Speaks and writes clearly and effectively; listens to others, correctly interprets messages from others, and responds appropriately; asks questions to clarify and exhibits interest in having two-way communication; tailors language, tone, style, and format to match audience; demonstrates openness in sharing information and keeping people informed.
• Proven skills in working towards a common goal in a team of diverse skills, experience, and cultural backgrounds, with a heavy emphasis on business and non-technical team members.
• Able to work remotely and continue to ensure alignment on activities and goals.
• Excellent organization and project management skills.
• Collaborative hands-on team member and relationship-builder with a facilitative nature and strong business partnering skills towards colleagues and stakeholders.
• Excellent interpersonal skills.
• Demonstrated capacity to handle multiple tasks/work streams promptly and flexibly with shifting priorities.
• Committed to excellence and a customer-centric mindset.
• Tools and Frameworks – AWS data and AI infrastructure tools: Glue, Athena, S3 storage, Redshift, Sagemaker, Bedrock, Quicksight etc. (required);  Tableau or Power BI (highly desirable); SQL; R/PythoN (highly desirable); Palantir Foundry and AIP (highly desirable); DAMA-DMBOK (highly desirable)

Languages:

• Fluency (level C) in English language. Intermediate knowledge (level B) of a second official UN language: Arabic, Chinese, French, Russian, Spanish, and/or WFP’s working language, may be needed.