AIA

Financial Services

OperationsDataGovernance&DataStrategy,SeniorAnalyst

$485–725k ~AI est. Hong Kong, Hong Kong, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Operations Data Governance & Data Strategy, Senior Analyst at AIA. Skills: Data governance, Data strategy, Regulatory reporting, Cross-functional project leadership. Oversee end-to-end data lifecycle management. Shape and enhance data governance frameworks, policies, standards,”

Industry & Context.

Financial Services
Problems you'll solve

Problem-solving; Analytical skills

Eligibility Requirements

Acquire relevant license(s) if job involves regulated activities

What They're Looking For.

Must Have

Bachelor's degree in Science, Information Systems, Statistics, Mathematics, or a related quantitative field, Minimum 1 year of experience in data/AI strategy, data governance, data quality, or project governance, Experience with large-scale and complex datasets

Nice to Have

Financial services regulatory reporting, risk, compliance, or data management experience preferred

What You'll Do.

Oversee end-to-end data lifecycle management

Shape and enhance data governance frameworks

and execution of enterprise-wide data

Support data quality uplift initiatives and data operating

Ensure compliance with regulatory and audit requirements

Lead the identification and resolution of data quality

Collaborate with business and technology counterparts

Drive data remediation efforts to meet regulatory requirements

Strengthen data integrity

Enhance data structures and controls for regulatory and

Collaborate with Risk

and Operations on critical

Contribute cross-functional initiatives to enhance data strategy

Coordinate implementation of data-driven solutions

Maintain clear project governance

and executive reporting

Facilitate stakeholder alignment and decision-making for major data

How You'll Work.

Team & Collaboration

Cross-functional delivery; Business and technology functions; Risk, Compliance, and Operations; Stakeholder alignment

Communication Scope

Presentation skills; Technical data concepts; Clear messages; Executive reporting

Process & Methodology

Project governance, Executive reporting

Full Job Description

**At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.** _As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives._ _To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone._ **If you believe in developing a better tomorrow, read on.** **About the Role** Support the development and execution of data governance and data strategy initiatives. The role enhances data quality, strengthens regulatory reporting readiness, and partners with Technology and business units to improve enterprise data capabilities. The role partners closely with Technology, Risk, Compliance, and business units to uplift enterprise data capabilities and supports cross functional delivery of data governance and strategy programs. As an individual contributor, the position provides subject matter guidance and ensures disciplined governance practices across Operations. **Role and Responsibilities:** **Data Governance & Data Strategy (40%)** * Oversee end-to-end data lifecycle management. * Shape and enhance data governance frameworks, policies, standards, and data stewardship practices. * Support development, enhancement, and execution of enterprise-wide data strategy. * Support data quality uplift initiatives and data operating model. * Ensure compliance with regulatory and audit requirements. **Data Remediation & Regulatory Reporting (40%)** * Lead the identification and resolution of data quality issues, collaborating with business and technology counterparts. * Drive data remediation efforts to meet regulatory requirements and strengthen

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