Information Officer, Data Management

Job Description

Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges.

The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video: https://www.youtube.com/watch?reload=9&v=VTFGffa1Y7w

As a unit within the WB Data and Technology office (ITSDO), the Data and Analytics unit (ITSDA) provides state-of-art information and technology applications to support the operations of the World Bank Group. Functions provided data, Information Management and AI solutions for stakeholders across World Bank. The current technology landscape encompasses Cloud-based data platforms (Azure and AWS), Oracle, SQL Server, Business Objects, Tableau, Cisco Information Server (Composite), SAP BW/Hana, Informatica, .Net, HTML 5, CSS Frameworks, SharePoint and many others. Our plans are to migrate our on-prem data repositories and re-engineer based on new Cloud architectures in the coming years.

Responsibilities:

Build design and engineering of data pipelines that are flexible, scalable, secure, and cost effective, both on-premise and in the cloud, to meet the growing needs of the World Bank’s data landscape.
Maintain accountability of the integrity of the data pipelines and ensure the smooth daily operations to meet various needs such as ensuring the bank’s reporting data are always available with well-established testing protocols and troubleshoot any technical issues that arise.
Develop data models, data schemas, security models, semantic models supporting analytical requirements.
Develop, maintain, and support and AI/ML models supporting various analytical models
Ability to understand and decode mapping of source table to the target structures and transformation logic both on-prem and on Cloud technologies.
Ability to work closely with the team to design, architecture and security reviews of the data engineering framework and solution are in line with industry best practices, ITS standards and represent good practice.
Contribute and strive to innovate and establish a cloud-based data engineering framework in ITSDA that will accommodate both “traditional” structured data sources and “non-traditional” data sources, support current and emerging needs.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Able to take personal ownership and accountability to meet deadlines and achieve agreed-upon results and has organizational skills to do so.
Maintain positive, constructive approach to problem-solving internally and during client interactions with focus on timely and accurate issue resolution.

Selection Criteria:

Master’s degree with 5 years’ experience OR equivalent combination of education and experience in relevant discipline such as Computer Science.
Minimum 3 years of experience in each of the following areas: (i) SQL, Python, R or any programming language in support of data management/engineering (ii) •Building and maintaining DB applications (iii) Building and troubleshooting data pipelines (iv) Log analytics.

Hands on experience with cloud platforms covering Power BI platform & Tableau and experience with on-prem Business Objects is preferable.
Hands on experience in building semantic layer on Databricks (or other technologies) encompassing complex logic to accommodate reporting requirements.
Good understanding on SAP BW/SAP HANA structures and decoding of business rules to migrate to Modern Cloud platforms.
Knowledge of advance SQL programming skills to perform complex operations and data programming on large amount of data stored in data warehousing or lakes.
Experience working on AI/ML, data science models is preferred.
Work with application team leads to refine and tighten the security framework and access control for internal and external data access points
Ability and flexibility to learn and adapt to a spectrum of data technologies running on multiple platforms primarily on the Semantic layer modelling, •Report building, API’s and Dashboards.
Knowledge of building data warehouse applications in Hybrid environment both on-cloud and on-prem and ability to keep up to date with Cloud offerings and solutions in a global delivery environment.
Ability to participate and collaborate within and across teams in developing options, roadmaps, evaluations, decision frameworks for complex enterprise solutions.
Experience in evaluating best of the breed tools in Data & Analytics and work closely with the leadership team to come up with pro and cons.
Actively seeks knowledge needed to complete assignments and shares knowledge with others, communicating and presenting information in a clear and organized manner.
Proven experience of working and navigating in teams with offshore/onsite model and collaborate across teams to build/maintain complex IT landscapes, and diverse client bases.
Experience in writing unit/integration tests, work in agile iterative approach towards building products and documents work.
Ability to deliver information effectively in support of team or workgroup. Excellent communication, writing/documentation, and facilitation skills.
Ability to juggle multiple tasks in a fast-paced environment, and the maturity to participate in multiple complex programs at the same time in an agile environment.