Head of Field Data Services P3

مصر

ACCOUNTABILITIES/RESPONSIBILITIES:

  • Support the development of functional work plans, ensuring compliance with wider WFP policies, standards, and strategies.
  • Continuously improve data management-related guidelines, processes, and procedures (in alignment with Enterprise Data Governance) for Country Offices and Regional Bureau to strengthen data and AI practices.
  • Build and nurture relationships with business counterparts to understand and anticipate the direction of the business and ensure alignment of data and AI technology solutions with changing business requirements and priorities.
  • Lead efforts to establish Country Office Data Working Groups, identify data steward and data custodian candidates who can participate in Working Groups, and create a regular update process to ensure alignment between strategic activities and tactical requirements.
  • Participate in identifying business needs and propose well-researched ideas for new or improved data and AI systems, tools, and processes that assist in meeting WFP objectives.
  • Manage business expectations in servicing business needs and oversee the success of data and AI solutions, seeking ongoing opportunities to support or increase the business value from those solutions.
  • Propose change and continuous operational improvement that supports business capabilities, by defining needs, providing analysis, and recommending solutions that deliver value for business priorities.
  • Communicate business objectives, requirements and process flows, to ensure common understanding and prioritization between stakeholders for their smooth implementation.
  • Support the roll-out activities of data and AI solutions to ensure they address business objectives, needs, requirements, and process flows efficiently and effectively in Country Offices.
  • Working with communication and knowledge management colleagues, implement advocacy plans to increase awareness of data and AI goals, and activities and promote the strengthening of best practices in Country Offices.
  • Manage a team of staff, providing coaching, training, and guidance to ensure appropriate development and enable high performance.


Skills

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. 


تاريخ النشر: اليوم
الناشر: Bayt
تاريخ النشر: اليوم
الناشر: Bayt