This document describes the responsibilities of a Director of a Global Data Mining Team. The Director oversees global big data repositories and business intelligence tools to meet clients' reporting needs. They lead the development of applications and processes to increase efficiencies in reporting globally. Additionally, the Director manages statistical analysis projects, leads teams of data scientists and analysts, and provides strategic leadership in defining the vision for forecasting and analytics.

1. Director – Global Data Mining Team
A. Data Mining/Reporting
 Overseeing Global Big Data Repository for Global reporting requirements;
 Overseeing and initiating projects with Business Intelligence (BI) Tools; Power BI, SAS
EM & EG, MS Office 2016 & 365;
 Leading the creation and management of data warehouse systems to meet our clients
reporting needs; SQL*Server, Mainframe DB2, ETL, SSAS, SSIS & SSRS. Ensuring
rigorous audit reports for completeness and accuracy of systems;
 Leading the development of applications to increase efficiency in reporting Globally and
to Senior Leaders;
 Overseeing the adoption of reusable technology components into the lab’s data mining
processes;
 Managing business processes to increase efficiencies in Data Mining and Reporting (The
Best Solution that embraces The Best Practice);
B. Statistical Analysis
 Leading company-wide experience studies, i.e. Mortality, Morbidity & Lapse. Managing
extensive reconciliation processes and signing-off on results;
 Leading research into new Statistical Methodologies and Analytical techniques;
 Leading the search for new data sources to provide insights into internal models;
 Partnering with Business Groups, Business Units & Data Scientists on new innovated
reporting methodologies;
 Managing audit controls, leading change management and providing analytical insight;
 Creating and delivering presentations in support of the Insurance Research Lab (IRL)
roadmap and value proposition;
 Acting as a project/program sponsor or lead on multiple and concurrent IRL initiatives
C. Management
 Leading & Managing Legacy Data Migration solutions;
 Leading, coaching and developing a team of Data Mining, Reporting & Client Solution
SMEs and Statisticians in close collaboration with Actuarial, Medical, Underwriting and
Enterprise Services;
 Providing leadership in defining the forecasting and analytics strategic vision ensuring
alignment to corporate objectives;
 Providing insights to the Insurance Risk Sub-Committee (IRSC);
 Networking and participating on Research Committees of Actuarial Governing Bodies
(CIA & SOA);
 Leading & managing the Business Group, departmental and service budgets ensuring
alignment to corporate objectives;