أخصائي رئيسي - إدارة البيانات - (‎23000187)
الوصف الوظيفي
KEY RESULTS ACCOUNTABILITIES

Projects: Support or Manage data management programs and projects including

complex business intelligence
and big data programs and projects as required

Guide oversight of the development of RTA Implementation Plan for Dubai

Data.

Advise RTA data professionals on how to ensure that the benefits of open and

shared data are maximised,
through high levels of adoption and utilisation of the data to improve
services and decision-making.

Advise on identifying the right skills and establish the necessary roles

within RTA Department, as outlined in
the Dubai Data Manual

Key support in identifying and enabling the delivery of data sets to the

Dubai Data Platform for both Open and
Shared Data publication, and appropriately applying the Data Classification
Framework to their Data

Designs and develop BigData models to consolidate and analyse unstructured,

diverse "big data" sources which
can be used to generate fact and prediction based solutions Business Units.

Identifies meaningful insights from large data and metadata sources;

interprets and communicates insights
and findings from analysis and experiments to product, service, and business
managers

Develop market "mash up" by combining internal corporate data and

applications with externally sourced data.

Identify and recommend analytics tools to enhance data quality and

integrity.

Identify actionable insights through data science and measurable values to

translate into concrete initiatives.

Designs, develops and programs methods, processes, and systems to

consolidate and analyse unstructured,
diverse "big data" sources to generate actionable insights and solutions.
Develops and codes software
programs, algorithms and automated processes to cleanse, integrate and
evaluate large datasets from multiple
disparate sources.

Strategy: Conducts in-depth analysis of business intelligence and big data

architecture elements and identify
target architectures and gaps from baseline in line with RTA technology
strategy

Enterprise Architecture: Supports in developing and implementing data

governance practices and standards to
enhance and maintain an accurate, complete, secure and reliable data
architecture

Enterprise Architecture: Creates, reviews, and improves RTA data

architecture practices and standards
including but not limited to BI and big data, metadata management, data
catalogues, data classification, and
data quality management

Innovate in Big Data to create capabilities such as smarter usage of past

performance data that can be used
for predicting and driving future operational efficiency, market prediction
etc.: serve as an asset providing
Group operating leverage.

Identify questions and issues for data analysis and experiments and develops

and codes relevant programs,
algorithms and automated processes to cleanse, integrate and evaluate large
datasets from multiple disparate
sources.

Develop and maintain the models on the enterprise Data Lake, Group BigData

cloud, and associated platforms,
tools, process and practices for Data driven insights.

Support the development and delivery of rapid software prototypes preferably

using Python, using machine
learning models and data analysis, Artificial Intelligence, distributed
algorithms, Tools such as MatLab and R
etc. to demonstrate value of technology and ideas

Design and develop methods to consolidate, analyse and handle large scale

data (structured and unstructured)
and/or big data platforms which offers appropriate exposures and tools to
executives for decision making,
tools for operating teams to make smarter decisions everyday

Apply bigdata and data mining techniques, statistical analysis and build

high quality prediction systems
integrated with the groups Systems.

Perform other responsibilities associated with the position as appropriate.

المؤهلات و المهارات
Education

Master in Data Science/ Computer Science/Statistics/ Mathematics/ Research

from a recognized university.
Skills

Goal-driven leader who maintains a productive climate and confidently

motivates, mobilizes, and coaches
employees to meet high performance standards.

Proficiency with NoSQL databases, such as MongoDB, Cassandra, HBase

Results-driven achiever with exemplary planning and organizational skills,

along with a high degree of detail
orientation.

Deep understanding of and experience with machine learning models and data

analysis, Artificial Intelligence,
development of distributed algorithms, Tools such as MatLab and R etc.

Experience with data visualisation tools.

Innovative problem-solver who can generate workable solutions and resolve

complaints.

Proficiency in using query languages such as SQL, Hive, Pig

Have experience with various best practices/standards in the market such as

DAMA, MIKE ‎2.0, TOGAF, and
COBIT

TOGAF and Cobit certification

Hands-on experience with Hadoop and Big Data management technologies (Apache

Hadoop, Cloudera, etc.)
preferred.

Resourceful team player who excels at building trusting relationships with

customers and colleagues.

Flexible team player who thrives in environments requiring ability to

effectively prioritize and juggle multiple
concurrent projects.

Experience handling large scale data and/or big data platform and tools.

Exceptional listener and communicator who effectively conveys information

verbally and in writing.

Experience with common data science toolkits, such as R, Python, MatLab,

Weka, NumPy, MatLab, etc.

‎10 years of working experience.

Excellent understanding of machine learning techniques and algorithms, such

as k-NN, Naive Bayes, SVM,
Decision Forests, etc .

Highly analytical thinking with demonstrated talent for identifying,

scrutinizing, improving, and streamlining
complex work processes.

Computer-literate performer with extensive software proficiency covering

wide variety of applications.
فئة الوظيفة : ادارة المشاريع
جهة العمل : هيئة الطرق والمواصلات
الإدارة : استراتيجية و حوكمة التقنيات
المستوى التعليمي : ماجستير
الجنسية المطلوبة : جميع الجنسيات (الأولوية للمواطنين)
الراتب الشهري : غير محدد
طبيعة الدوام : دوام كامل
تاريخ الإعلان : ‎04-‎02-‎2023
تاريخ سحب الإعلان عن الوظيفة : ‎05-‎04-‎2023