Senior Manager, Data Governance

Prudential plc is hiring a Senior Manager, Data Governance in Hong Kong, Hong Kong SAR China. Level rates it ; you can apply on Prudential plc.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 422 other open roles at Prudential plc.

AI in this role

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

The role will lead and coordinate Data Governance practices across the organization to ensure data is managed as a trusted, secure and controlled enterprise asset. Establish and maintain governance frameworks covering data quality, ownership, access and lifecycle management. Drive compliance with regulatory and internal requirements, facilitate collaboration between business and technology teams and continuously improve controls to manage data risks and support effective decision making.

Job Responsibilities:

Data Governance Framework & Policy Management - Define, maintain, and enhance data governance policies, standards, procedures, controls, and governance frameworks
Data Governance Operations & Stewardship - Manage core governance processes, including metadata, data dictionary, data lineage, access controls, and lead Data Stewardship forums and working groups
Data Quality, Risk & Communication Management - Monitor data quality, governance issues, audit findings, risk assessments, and implement improvements to strengthen governance controls
Stakeholder Engagement, Communication & Awareness - Drive governance awareness, maintain documentation, and act as the liaison between business and technology teams to ensure governance alignment

Job Requirements:

At least 10 years of experience in Data Governance, Data Management, Data Risk or related disciplines, with proven success in implementing enterprise-wide governance frameworks and data control programs
Hands-on experience in data quality management, data lineage, metadata management, data cataloguing, master data management (MDM), and the data lifecycle governance
Strong understanding of data-related regulations, privacy requirements, and governance standards, with experience working in highly regulated industries such as insurance, banking or financial services
Demonstrated ability to lead cross-functional initiatives, influence senior stakeholders and drive a data-driven culture across business, technology, risk, compliance and audit functions
Bachelor’s degree in a relevant discipline, with certifications such as CDMP, DCAM, DAMA or equivalent
Excellent command of English and Chinese (written and spoken)

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

How we rate this

Senior Manager, Data Governance at Prudential plc rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.