Asian Development Bank (ADB) is hiring

(Note: I am not the Hiring Manager and I have no connection and contact to the department where the successful candidate will be assigned. I am just helping the agency who are one of the vendor of ADB in terms of resources).

JOB PURPOSE: The Senior Data Architect is a senior member of the IT Enterprise Data Management team and is tasked with oversighting the implementation of a Bank’s Enterprise Data Management Platform. This includes the evolution of the data hub design, development, administration and maintenance of an optimal Data Fabric (data integration, ingestion, Operational Data Store, Data Lake, DataMarts, Operational and analytical Self-Services, Data Visualization tools). The member must possess a broad and deep understanding of digital capabilities in the data space, must have a strong grasp of data visualization, curiosity and desire to collaborate with constructing the vision and roadmap to build  a Data Fabric which is  business user-centric through the implementation of cutting-edge tools, technologies, enhanced data, and highly integrated systems and processes a)       Provide consulting support on all data-related solutions (program design, report design, data feed design, data aggregation, etc.). b)      Collaborate with the technology team to maintain and enhance the enterprise data management infrastructure and technology strategy including governance, data storage, security and, backup and recovery a)       Design, manage the end-to-end data pipelines, from the acquisition, orchestration, processing and the data access across the Data Fabric b)      Integrate disparate data sources, structured and unstructured data into the data platform c)       Collaborate on managing the Metadata repository and documentation d)      Identify, assess, and document business requirements for data and advise on options, risks, and cost versus benefits e)       Collaborate with internal teams to understand, translate and capture the requirements for conceptual and logical data models, interface specifications to maximize the value and performance of the data assets f)       Establish data lineage across data movement and ensure that the data is captured, stored, accessed, and distributed accurately, consistently, and optimally g)      Create and maintain appropriate metadata for data architecture related artifacts including data lineage h)      Help with establishing and sustaining optimal data governance framework i)        Responsible for building real time data streams, Ingest data from heterogeneous data sources and publish them as enterprise business events j)        Unify the work between data modeling and data acquisition, work on security and compliance data architecture and help to set the standards and best practices a)       Create data models and business views that present data in a user-friendly schema, scale the data model and enable self-serve analytics b)      Collect data and use it to help business stakeholders to make better business decisions c)       Participate in the definition of the Data Catalog, Data Services, APIs,

3. EXPECTED RESULTS: Assigned Responsibilities ·         Work with large amounts of data: facts, figures, and number crunching, the member need to see through the data and analyze it to find conclusion ·         Participate in presenting findings, or translating the data into an understandable document, the member will need to write and speak clearly, easily communicating complex ideas ·         Liaise with different departments in our organization to follow up on any challenges or discrepancies within the data ·         Act as the data expert, leading the way in data discovery, both proactively and by request, to identify key insights and trends to help drive strategic recommendations ·         Perform data abstraction, cleansing, validation, modeling, interpretation and reporting. ·         Take data, understand it, process it, extract value from it, and communicate it visually / verbally to team members and key stakeholders (Business and IT) throughout the organization ·         Work with the Enterprise Data Management Lead and the project manager to document the project’s vision and the project’s scope. ·         Work closely with developers and a variety of end users to ensure technical compatibility and user satisfaction. ·         Define quality attributes, external interfaces, constraints, and other nonfunctional requirements. ·         Represent requirements using alternative views, such as analysis models (diagrams), prototypes, or scenarios, where appropriate and propose new solution features and updates where appropriate. ·         Lead requirements analysis and verification, ensuring that requirement statements are complete, consistent, concise, comprehensible, traceable, feasible, unambiguous, and verifiable, and that they conform to standards. ·         Participate in requirements prioritization. ·         Participate in peer reviews and inspections of requirements documents. Participate in peer reviews of work products derived from requirements specifications to ensure that the requirements were interpreted correctly. ·         Manage requirements traceability information and track requirements status throughout the project. ·         Manage changes to baselined requirements through effective application of change control processes and tools. ·         Work closely with developers and a variety of end users to ensure technical compatibility and user satisfaction. ·         Actively Participate in the implementation of the new Data Fabric. ·         Implement ways to reuse requirements across projects. ·         Identify ways to assist project management in project planning through requirements development and analysis. Key Deliverables ·         Control of requirements creep attributable to missed requirements and leakage of “unofficial” requirements into the project. ·         Satisfying or exceeding requirements development schedules, resource constraints, and quality goals ·         Coordinate, Review and validate vendor resources expected work is delivered and of quality ·         Clarify requirements with vendor resources and ensures the same standards, processes, procedures on planning, execution are met as a minimum ·         Work with project team members to ensure a successful outcome for the project. ·         Architecture design artifact detailing every component, data producers and data consumers of the new Data Fabric ·         Requirements Definition Report (RDR) and Solution Model Specification (SMS) project documentation ·         Review and validation of Data modeling involved in the Data Platform ·         Artifacts of the Data Services generated from the Data Fabric ·         Regular presentations with supporting documents to business and IT stakeholders ·         Participation in the development of the Center of Excellent on Enterprise Data Management

4. KEY RELATIONSHIPS
a.       Supervisor Director and/or designated Professional Staff.	Work planning, feedback, personal development, results
b.  Internal Clients	Provide analytical, technical, and administrative support on project management and budget related matters, systems enhancement and other special initiatives.
c.  External Clients	Coordinate with other multilateral organizations to collect and compile data for organization and business processes. Supervises, monitors, and coordinates with contractors and vendors to ensure that equipment and services provided for the IT projects are within OIST standards.

5. Education Requirements: Minimum of a Bachelor degree in Computer Science or related discipline

6. Relevant Experience and Other Requirements: ·      At least five (5) years’ experience in a senior system analyst role, two (2) of which should be working with senior users; ·      Must have extensive experience using Microsoft products (Word, Excel, Powerpoint, Visio, Project) for professional documentation ·      Must have experience using UML to document system design ·      Must be conversant with systems development lifecycle principles ·      Must be able to relate to large information-based organizations and comfortable dealing with senior executives from a variety of cultures ·      Must have excellent oral and written communication skills in English ·      Must have experience of Eclipse IDE, Struts framework, and Java programming language ·      Familiarity with Oracle relational databases and multi-tiered application concepts ·      Extensive knowledge of system development life cycle (SDLC) and utilization in system development projects ·      Well-developed knowledge and understanding of relevant business administration, operational policies relevant work program and concepts, procedures and practices ·      Proven ability to conduct independent research by analyzing relationships among several parts of a problem or situation; breaking down a complex task into manageable parts in a systematic way, recognizing several likely causes of events, or several consequences of actions and generally anticipate obstacles and thinks ahead about next steps