Chief Specialist - Data Management- Roads and Transport Authority, Dubai, UAE
Job Description
# 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.
Qualifications
# Master in Data Science/ Computer Science/Statistics/ Mathematics/ Research from a recognized university.
# 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.
Apply Here:
https://jobs.dubaicareers.ae/careersection/dubaicareers/jobdetail.ftl?job=21000980&tz=GMT%2B05%3A30&tzname=Asia%2FKolkata
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