Director of Data Analytics

Objectives and Responsibilities

Director Data Analysis and Operations Research (OR) is responsible for the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the businesss performance by enabling informed decision making. The person is expected to design and maintain data systems databases using statistical tools to interpret data prepare reports that can communicate trends patterns and predictions based on data as
well conduct flight Ops data research and analytics as required. Focus on designing and constructing new processes for data modelling and productions. To work with pilot/customer centric algorithm models and be able to shape them to each vertical/business. Extract actionable insights from large databases help translate data into visualizations metrics and goals and have a proactive approach. To lead the development of big data capabilities and utilization as well as the coordination of cross
functional analytic initiatives. Will also be responsible for overseeing activities of the data science team ensuring proper execution of duties and alignment with the businesss overall vision.

Leadership/Supervisory Role:

The role of the Director Data Science and Analytsis is heading the data science department and leading the data analytics and warehousing vertical overseeing all activities and ensuring alignment with the businesss vision and objectives. In this capacity the person will
organize and assemble the manpower technology processes and financial resources necessary to address the current and future analytics needs of the business.

understand that information and data are key business asset and operationalize the application of data and information in order to deliver optimal performance.
provide thought leadership and act as a subject matter expert in the designing and recommending of appropriate analytical approaches and methodology in addressing key issues within the business.
lead the data analytics in research development and implementation of appropriate data systems that lead to improved business performance and achievement of overall business goals.
drive departmental culture and promoting datadriven decisionmaking consumerdriven analytics marketing and investment planning across the business.
participate in various committees meetings as necessary to influence data capabilities and competencies within the business.
initiate data science programs across the department not only with a view of improving departmental performance but also with a focus on revenue growth and achievement of the business overall targets and objectives.
personally work on challenging fundamental data science issues where necessary realize and develop solutions independently.
be accountable for the project portfolio within the data science and analytics vertical.
build an independent inhouse Ops Research capability to deep drill into understanding the Business Dynamics building data models and help act on derived actionables
communicate the findings to key stakeholders through reports and presentations with whom the necessary changes need to be made.

Collaboration:

partner with senior business executives and key stakeholders in creating the data science roadmap tailored to constantly aid data governance across the business and improve the overall business performance.
partner with other nontechnical departments within the business assisting them in understanding how data science can benefit them and improve their effectiveness and performance.
work closely with the Digital and IT department within the business for the purpose of facilitating easy and effective access to computing and data resources within the business.

take initiative and stay up to date with the latest data science trends techniques and best practices determining how to incorporate the most suitable practices in the department.

Education:

Bachelor/Masters degree or equivalent in Statistics Machine Learning Mathematics Computer Science Economics or any other related quantitative field. An equivalent of the same in working experience is also acceptable for the position.

The candidate for this position will have had at least 12 years of working experience in a data science capacity preferably working as a Data Scientist/Analyst.
To have a successful experience leading a data analysis/science team through the implementation of new data science models tools and techniques that lead to improvement of business performance due to a continued culture of informed decisionmaking
The candidate to also have extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods data mining techniques and information retrieval. A suitable candidate will show comfort
analyzing and manipulating large complex highdimensional data from numerous sources.
possess vast experience with programming languages for example Python.