Lead- Data Visualization and Insights

6 نوفمبر، 2022

0 3 4 دقائق

Job Description

Job Description
Lead AI is for driving AI and Machine Learning strategy and road map planning, working across Tech Ops, Business and development teams. Identifies opportunities to leverage AI capabilities for efficiencies and cost reductions. Partners with technology stakeholders to prioritize top AI opportunities and transform large volumes of operational data into AI-driven solutions using creative, cutting edge methods/technologies. This also requires Data Visualization & Analytics experience to revolutionize how data is visualized and consumed, as well as setting the strategy, rollout and delivery of the team's data and analytics by leveraging best in class Tools and platforms. The need to continually evolve the platform and stay current on best in class tools and trends is a must. Communication and collaboration will also be necessary with other groups and business lines within Bank. Evaluate, educate, and elevate our data visual engineering practices through establishing best practices, education and hands on coaching including developing visual interfaces, shared visualization components, and custom visualizations for communicating data stories. Act as change agent and evangelist to influence the adoption of data visualization best practices. Collaborate with Architecture and Platform teams to evolve our capabilities around data visualization
One of the key responsibilities of this role is to work on the AI opportunities to support digital transformation initiatives. This role is also responsible to provide Digital Intelligence services to the digital transformation unit.
Finally Lead AI will be major contributor for the implementation of the approved corporate AI and Analytics strategy with an aim to develop actionable insights that continuously optimize business decisions.
Strategic responsibilities

Develop & conceptualize sophisticated & innovative analytical solutions that integrate diverse information assets available at First Abu Dhabi Bank to achieve incremental revenue or reduction in the costs or mitigating the financial risks.
Lead the discovery process for the analytics & AI opportunities with the institutional stakeholders to identify the business requirements and the expected outcome.
Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
Define standard metrics and KPIs for measuring the success of all analytics engagements undertaken and establish processes to measure them.
Educate the organizational colleagues from both IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of analytical results. Helps the organization understand the principles and the math behind these statistical processes to drive the organizational adoption.

Core responsibilities

Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.
Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, Unstructured data sources such emails, log files, social media etc.
Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
Recommend & Implement ongoing improvements to methods and algorithms that lead to findings, including new information & patterns in the data.
Establish conducive ecosystem for analytics using tools, processes, vendors etc. within the bank that will enable adoption of analytics across the organization.
Play the role of bank wide machine learning and Artificial Intelligence expert to use these techniques to solve the real business problems.

People Management responsibilities

Coach & groom the data scientists in the team on gaining knowledge & skills on the principles of analytics techniques, problem solving, project management, client relationship management & team work skills. Conduct regular reviews with team members.
Responsible to hire, train, motivate and continuously develop skillsets of the data scientists in the team.
Define goals and key performance indicators for each member of data science team and coordinate the performance management review process for the team.

Qualifications
Minimum Qualifications:

Master's in Business Administration from top B Schools.
Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
Additional degree or certifications in the field related to the data science/Analytics is preferred.

Minimum Experience:

Minimum 6+ years of experience in managing a large Analytics or AI function in a financial services organization.
Typically 5 or more years of relevant quantitative and qualitative research and analytics experience.

Knowledge, Skills, and Attributes:
Knowledge and Skills

Ability to independently manage analytics engagements from start to finish, delivering
actionable insights within established timelines and budget.
Excellent understanding of machine learning and Artificial Intelligence(AI) techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, Deep Learning etc.
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
The ability to come up with solutions to loosely defined business problems by leveraging pattern
detection over potentially large datasets.
Use problem solving methodologies to propose creative solutions to solve business problem. Recommend design and develop state-of-the-art data driven analysis using statistical & advanced analytics methodologies to solve business problems.
Strong programming skills and hands on experience on statistical modelling packages (like SAS, R or Python).
Strong communication skills with ability to expresses technical and business concepts, ideas, feelings, opinions, and conclusions verbally and in writing. Listens attentively and reinforces words through empathetic body language and tone.
Experience leading teams.
In-depth industry/business knowledge.

Attributes

Change Advocate: Identifies and acts upon opportunities for continuous improvement. Encourages prudent risk-taking, exploration of alternative approaches, and organizational learning.
Conceptual & Innovating Thinking: Synthes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations. Recognizes abstract patterns and relationships between apparently unrelated entities or situations.
Leadership: Leads members of formal and informal groups in the pursuit of common
Missions, vision, values and mutual goals. Places team needs and priorities above personal needs. Involves others in making decisions that affect them. Draws on the strengths of colleagues and gives credit to others contributions and achievements