عربي

الصفحة الرئيسية وظائف في الامارات وظائف في أبوظبي وظائف مهندس بيانات في أبو ظبي مهندس البيانات

VP - Enterprise Data Architect

Mubadala Investment Company

نشرت على 18 أغسطس 2020

3 - 5 سنوات Abu Dhabi - United Arab Emirates

بكالوريوس في الهندسة المعمارية (الهندسة المعمارية). أي جنسية

عدد الشواغر 01

الوصف الوظيفي

ايميل الوظيفة
تم إرسال البريد الإلكتروني بنجاح.

*
Company Overview
Mubadala is a global investment company with a mandate to generate sustainable financial returns to the Government of Abu Dhabi for the long-term.
We actively invest across a variety of geographies, asset classes and sectors that build on our competitive advantages of talent, financial strength, portfolio diversity and global relationships to enhance lasting value at home and overseas.
We are a responsible corporate citizen motivating our businesses to have a positive impact on the communities where they operate.
About Enterprise Technology & Services
Mubadala s Enterprise Technology Services also known as ETS is a corporate division that is responsible for developing and implementing Mubadala Information Technology Strategy aligned with our business goals.
Additionally ETS plays a Group wide advisory governance role for Mubadala assets in terms of setting up Group IT Standard and Policies for multiple IT domains including Information Security.
ETS leverages and encourages Mubadala assets to utilize the services provided by its strategic partnerships MDC- BMS and Injazat to ensure that they are delivered in an effective, efficient, innovative and secure manner.
Oversees and manages all activities that define Mubadala s business data assets (as well as the assets' sources, structure, classification and associations) in alignment with Mubadala Data & Analytics Strategy to respond to disruptive forces and move toward desired business outcomes.
Strengthens the impact of, and provides recommendations on, business data that will need to be available and shared consistently across Mubadala through the identification, definition and analysis of how data assets aid strategies and business outcomes. The Enterprise Data Architect is responsible for discovering the data and analytics requirements for all uses as well as uses logical and analytical thinking to come up with creative and innovative database solutions.
Key Accountabilities
•Influence Mubadala Data & Analytics Strategy : By closely working with different stakeholders, and through the rationalization of the data value chain, Enterprise Data Architect will evaluate the current Data environment and provide strategic recommendations and solutions to maximize the value of data assets via their creation, access and use. The data Architect will also be responsible to implement these solutions once/if approved.
•Maximize value derived from data and analytics : Foster value creation using Mubadala s data assets, as well as the external data ecosystem. This includes aiding value creation through data exploitation, envisioning data-enabled strategies, as well as enabling all forms of business outcomes through analytics, data governance, and enterprise data related policies.
•Surface data priority : Assess the benefits and the risks of data by using tools such as business capability models to create an information-centric view to quickly visualize what information matters most to the organization based on the defined Data & Analytics strategy
•Enhance decision making : Use tools such as business information models to provide Mubadala with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies and assist in decision design.
•Conduct business data modeling : Create and manage business data models in all their forms, including conceptual models, relational database designs, message models and others.
•Enable enterprise data management : Ensure that the architecture is used as a lens and a filter to identify, prioritize and execute the Data and Analytics initiatives/projects with clear line of sight to Mubadala Data & Analytics Strategy and business outcomes/priorities.
•Secure data and analytic assets : Aid in the analysis of data and analytics security requirements and solutions, and work with ISR team to ensure that enterprise data and analytics assets are treated as a protected assets. Aid the definition of data classifications and data zoning to allow information assets to be immediately identified and proactively managed as more information becomes federated.
•Improve EDM performance : Aid efforts to improve business performance through enterprise data solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components. Will also maintain and manage a Data Architectural Blueprint for Mubadala and define ways to easily re-use data across various functional areas.
•Collaborate with different stakeholders : Collaborate with Data Governance Council members, EDM Program Implementation Working Group, data science and analytics specialists, data management staff, solution developers and business domain stakeholders, such as data stewards and business analysts. Responsible to also train users and employees where needed and provide some basic operational support where necessary.


معمارى / الديكور

ملخص المرشح المطلوب

*Qualifications and Experience-
Minimum Qualifications:
This role requires a bachelor's degree in computer science, information systems or a related study (or equivalent project-related experience)
Experience:
•A minimum of Eight years of experience in IT, with at least three years in information system design or data architecture work.
•In-depth experience of designing and implementing information solutions and database structure principles.
•Hands-on experience with implementing data and analytics management programs is preferred.
•Three to five years' experience as a data analyst or Data Architect or Data Scientist (or similar) is highly desirable.
Knowledge:
•Effective conceptualization, pattern recognition and teaming skills.
•Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike.
•Demonstrated influence, communication, presentation and facilitation skills.
••Business domain, data/content and process understanding (which are more important than technical skills).•
System integration experience, including interface design, and familiarity with web-oriented architecture techniques.
•Data modeling expertise at the enterprise level.
•Understanding of common information architecture frameworks and information models.
•Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.
•Familiarity with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques.
•Experience with distributed management and analytics in cloud and hybrid environments. Also an understanding of a variety of data access and analytics approaches.
•Knowledge of problem analysis, structured analysis and design, and programming techniques.
•Ability to assess rapidly changing technologies and apply them to business needs.
•Strong communication and persuasion skills, including the ability to create messaging materials that meet stakeholder needs.
•Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers.
•Data analytics should have expert knowledge in everything data related. Should know exactly how data is collected, analysed, and delivered. Need to also be familiar with both the technical and user-facing sides of databas es. Knowledge of data mining and segmentation techniques.
•Scripting languages should be familiar with scripting languages such as PHP, C, and SQL.
•Project management experience should be responsible for each phase of new database implementation. As such, they should be experienced project managers who know how to meet deadlines and create efficient solutions that involve multiple teams.
•Tools Familiarity with several tools like Tableau, D3.js, R, SQL, Oracle, MS Excel.

الكلمات الرئيسية

VP - Enterprise Data Architect

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تنبيه: نوكري غلف فقط منصّة يجمع بين كل من الباحثين عن عمل و أصحاب العمل. ننصح المتقدمين للوظائف التحقق من شرعية أصحاب العمل المحتملين. نحن لا ندعم أي مطالبات لتحويل الأموال و ننصح بشدة ضد الإفصاح عن اي معلومات شخصية أو مالية.و ننصح أيضا زيارة تحذير أمني للمزيد من المعلومات. إذا تشك في أي غش أو احتيال اتصل بنا على abuse@naukrigulf.com

Mubadala Investment Company


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