Data Management - Hang Seng Bank (HK)

Job description

A Career with Hang Seng Bank

Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.

Data Management


Insurance


Hang Seng Bank was one of Hong Kong's bancassurance pioneers with insurance business footprint started since 1965. Over the years, Hang Seng Bank has been committed to serve its customers by providing full spectrum of insurance products including Life Insurance manufacturing, distribution of General Insurance and Medical products, and MPF business.

Insurance is a fast-growing business and is one of the key drivers of Hang Seng Bank. As a well-established insurance entity, we take care of every need of our customers with an optimized service excellence through the Bank's retail and commercial network, with a dedicated team of professionals in place.

We are currently seeking a high caliber professional to join our department as Data Management

Principal Responsibilities

·
Assist Hang Seng Insurance CDO to lead and support data strategy initiatives.

· Partner closely with all stakeholders of the Group & Bank (IT, Business, Functions) to align directives and deliverables.
· Understand business processes and requirements to ensure deliverables are meeting the scope.
· Act as a single point of contact for the responsible data projects and initiatives, including but not limited to regulatory & compliance project, data analytics & science.
· Throughout the lifecycle of the project, the data manager will also be responsible for enforce data principles to the stakeholders /subject matter experts / BAU processes, thus promoting and driving the data culture.
· Focus on Data Governance to manage the implementation of all Data Quality (DQ) dashboards, lead all the DQ rules refinements and drive DQ issues resolutions to maintain a high quality standard for all critical data identified.
· Perform business analytics and be able to propose, recommend and drive solutions to enable data analytic initiatives or strengthen risk control.

Desired profile

Qualifications :

Qualifications

· 
University degree in Information Management / Computer Science or other relevant qualifications.

· 
Minimum of 5 years' relevant experience in life insurance industry, with LOMA, or passes in the Insurance Intermediaries Qualifying Examinations a definite advantage.

· 
Knowledge on some common Business Intelligence tools (e.g. Tableau, Qliksense), working experience on Data Governance, BCBS and data analytics will be an advantage.

·  Hands-on experience in transformation projects management, data lineage / data quality management, or data analytics and processing will be advantage.
· 
Possesses strong management skills, e.g. experience of working with different levels of stakeholders.

· 
Ability to build relationships by communicating, influencing and negotiating effectively with business users, consultants, technical experts across the whole department and business units.

·  Strong interpersonal skills and able to build and maintain global relationships.
·  Excellent leadership, project and time management skills, proven ability of planning and problem solving.
·  Proven ability to prioritize competing demands.
·  Be delivery focused with ability to pay attention to detail and ensure tasks are completed on time and to the required levels of quality.
·  Proven experience in identifying and managing the risks, issues and dependencies related to complex data projects.
·  Outstanding written / verbal communication and presentation skills.
· 
Previous experience in managing projects / programmes.

·  Strong self-motivation with ability of working effectively under pressure and commitment to process improvements.
· 
Proficiency in both English and Chinese.

· 
Great sense of ownership and servicing mindset to ensure efficient and effective customer service processes.