Analytics COE Manager

This position will be responsible for advancing the functional capabilities of the Corporate Internal Audit group through the use of data analysis and other proven and emerging technology to enhance the effectiveness and reliability of the audit process and methodologies.

The role entails setting up of an analytics function within the CIA Group and shall focus but will not be limited to enabling and fully supporting the audit team's capability building initiatives to undertake analytics/AI driven and automation projects to improve productivity and efficiency.

Specifically, the candidate shall:

Possess a strong foundation in data analysis, statistics and problem solving.

Have the ability to extract insights from simple to complex data sets in aid of a data-driven decision making across functional teams.

Support the development of an analytics-based audit process, leveraging on the conglomerate's technologies and infrastructure.

Proactively lead strategic initiatives in utilizing AI driven solutions, to enhance efficiency of CIA programs, and workflows.

Lead the charge towards consistent utilization of various tools and technologies including but not confined to anomaly detection, data visualization, machine learning, predictive analytics, etc.

Provide analytical support to other BU Audit teams as may be necessary, leveraging synergies to achieve conglomerate-wide audit objectives.

Participate in audits requiring multi-disciplinary skills which cut across the conglomerate, i.e. Financial, Operations, Compliance, Fraud, 3rd Party Management, Forensic Accounting, Data Analytics, etc.

Support and participate in other departmental requirements and initiatives.

Job Qualifications:

Bachelor's Degree in the field Engineering/ Computer or Data Science/ Mathematics or related discipline.

Relevant certifications from Microsoft, Google Data Analytics, IBM, etc. and/or CAP, ITIL, CISA, etc. preferred

Ability to execute and deliver analytics projects utilizing established as well as cutting-edge emerging technologies.

Familiarity with data visualization and/or analysis tools such as Power BI, Tableau, ACL, etc.

Background in technical/IT/ InfoSec audit is an advantage but not necessary.

Experience with machine learning concepts and frameworks preferred.

Strong attention to detail, problem-solving and organizational skills, with the ability to manage multiple projects simultaneously.

Excellent communication skills, with the ability to present complex technical findings to non-technical stakeholders.

Ability to work independently and collaboratively in a fast-paced environment.

At least 10 years relevant work experience as an ICT professional with focus on data analytics, IT operations (security/system/infrastructure administration), etc.