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Senior Manager/Associate Director, Data & Insight

Hunghom, Kowloon, Hong Kong

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Sunlife Trust

What you’ll work on

Full posting
  • Lead migration of legacy databases, pipelines and Tableau dashboards to the cloud data platform

  • Build and maintain datasets for campaign targeting, segmentation and customer lifecycle programs

  • Design, build and optimize scalable data pipelines using SQL, AWS and Redshift

  • Set migration governance, reconciliation and data validation processes

  • Translate business requirements into data solutions and manage delivery roadmap

From the employer’s posting
Serve as the technical lead for migration of legacy/tactical databases, data pipelines, and reporting assets to the strategic cloud-based data platform.
Develop and maintain datasets required for customer lifecycle management, cross-sell/up-sell programs, retention strategies, and personalized customer engagement.
Design, build, and optimize scalable data pipelines using cloud and database technologies.
Establish migration governance, risk management, reconciliation, and data validation processes to ensure data quality and integrity.
Translate business requirements into actionable data and analytics solutions.

What you’ll bring

All qualifications

Core experience

  • 8+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, Analytics, or related disciplines.
  • Strong SQL and relational database expertise.
  • Excellent communication and stakeholder engagement skills.
  • Proven experience delivering large-scale data migration or data transformation programs.
  • Hands-on experience with AWS services (Redshift, Glue, Athena, S3) or equivalent cloud data platforms.
  • Ability to lead cross-functional initiatives and manage multiple priorities.
Qualification wording
8+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, Analytics, or related disciplines.
Strong SQL and relational database expertise.
Excellent communication and stakeholder engagement skills.
Proven experience delivering large-scale data migration or data transformation programs.
Hands-on experience with AWS services (Redshift, Glue, Athena, S3) or equivalent cloud data platforms.
Ability to lead cross-functional initiatives and manage multiple priorities.

Tools in this posting

  • Python
  • SQL
  • AWS
  • Power BI
  • Redshift
  • S3
  • Tableau
Source — Tool mentions in context
- Knowledge of ETL/ELT design, data modeling, and data architecture. - Familiarity with Python or other data engineering technologies is an advantage. Competencies
- Partner with Enterprise Architecture, IT, Data Engineering, and Business stakeholders to ensure smooth transition with minimal business disruption. - Support migration of Tableau dashboards, data marts, SQL assets, and related analytics capabilities into the future-state data ecosystem. - Establish migration governance, risk management, reconciliation, and data validation processes to ensure data quality and integrity.
- Manage data ingestion, transformation, validation, and automation processes across multiple data sources. - Lead development activities involving SQL, AWS, Redshift, ETL workflows, and analytics data marts. - Ensure data availability, performance, security, and operational stability for business-critical reporting and analytics solutions.
Technical Skills - Strong SQL and relational database expertise. - Hands-on experience with AWS services (Redshift, Glue, Athena, S3) or equivalent cloud data platforms.
- Strong SQL and relational database expertise. - Hands-on experience with AWS services (Redshift, Glue, Athena, S3) or equivalent cloud data platforms. - Experience with Tableau, Power BI, or enterprise BI tools.
- Hands-on experience with AWS services (Redshift, Glue, Athena, S3) or equivalent cloud data platforms. - Experience with Tableau, Power BI, or enterprise BI tools. - Knowledge of ETL/ELT design, data modeling, and data architecture.

Posting record

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Status in our records
Live
First seen by us
Oct 7, 2026 · 22 days ago
Recorded sightings
80
Last seen by us
Oct 29, 2026

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  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.


At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.


When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.


Discover how you can make a difference in the lives of individuals, families and communities around the world.



Job Description:

Job Description

We are seeking a highly motivated and technically strong Senior Manager, Data & Insights to lead the transformation of our Customer Value Management (CVM) data and analytics ecosystem.

This role will play a critical leadership position in driving the migration of existing tactical databases, dashboards, and data pipelines to the enterprise Data Hub architecture while ensuring uninterrupted support for key CVM initiatives. The successful candidate will bridge business and technology teams to deliver scalable data solutions, enable self-service analytics, and accelerate data-driven customer engagement, campaign management, and advisor productivity initiatives.


Candidate with more experienced may be considered for Associate Director.


Department: Client & Marketing
Function: Data & Insights
Reporting To: Director, Data & Insights


Key Responsibilities

1. Lead Tactical Database Migration Program

  • Serve as the technical lead for migration of legacy/tactical databases, data pipelines, and reporting assets to the strategic cloud-based data platform.
  • Drive current-state assessment, target architecture design, migration planning, development, testing, and implementation.
  • Partner with Enterprise Architecture, IT, Data Engineering, and Business stakeholders to ensure smooth transition with minimal business disruption.
  • Support migration of Tableau dashboards, data marts, SQL assets, and related analytics capabilities into the future-state data ecosystem.
  • Establish migration governance, risk management, reconciliation, and data validation processes to ensure data quality and integrity.

2. Enable CVM Analytics and Campaign Initiatives

  • Deliver data solutions supporting customer portfolio analytics, campaign measurement, client tagging, customer insights, and advisor productivity initiatives.
  • Support business teams in campaign targeting, performance tracking, customer segmentation, and lead management capabilities.
  • Develop and maintain datasets required for customer lifecycle management, cross-sell/up-sell programs, retention strategies, and personalized customer engagement.
  • Partner with Marketing, Distribution, Digital, and Customer Experience teams to unlock business value through data and insights.
  • Drive continuous enhancement of CVM dashboards, campaign performance reporting, and customer analytics capabilities.

3. Data Engineering & Solution Delivery

  • Design, build, and optimize scalable data pipelines using cloud and database technologies.
  • Manage data ingestion, transformation, validation, and automation processes across multiple data sources.
  • Lead development activities involving SQL, AWS, Redshift, ETL workflows, and analytics data marts.
  • Ensure data availability, performance, security, and operational stability for business-critical reporting and analytics solutions.
  • Introduce automation opportunities to reduce manual processing and improve delivery efficiency.

4. Stakeholder Management & Project Delivery

  • Act as the primary liaison between business stakeholders and technical teams.
  • Translate business requirements into actionable data and analytics solutions.
  • Manage project roadmap, delivery priorities, risks, dependencies, and stakeholder communications.
  • Drive adoption of analytics solutions through training, documentation, and user engagement activities.
  • Provide leadership and guidance to analysts, developers, and project resources.

5. Data Governance & Quality Management

  • Implement and maintain data quality controls, lineage, metadata, and documentation standards.
  • Support data governance initiatives and regulatory compliance requirements.
  • Ensure appropriate access management and controls across CVM data assets.
  • Promote best practices in data management, development standards, and operational excellence.

Required Qualifications

Experience

  • 8+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, Analytics, or related disciplines.
  • Proven experience delivering large-scale data migration or data transformation programs.
  • Experience supporting CRM, customer analytics, marketing analytics, or CVM-related initiatives.
  • Strong stakeholder management experience across business and IT organizations.
  • Financial services, insurance, banking, or consulting experience preferred.

Technical Skills

  • Strong SQL and relational database expertise.
  • Hands-on experience with AWS services (Redshift, Glue, Athena, S3) or equivalent cloud data platforms.
  • Experience with Tableau, Power BI, or enterprise BI tools.
  • Knowledge of ETL/ELT design, data modeling, and data architecture.
  • Familiarity with Python or other data engineering technologies is an advantage.

Competencies

  • Strategic thinker with strong execution capability.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder engagement skills.
  • Ability to lead cross-functional initiatives and manage multiple priorities.
  • Passion for driving business outcomes through data and analytics.

At Sun Life, we’re driven by our Purpose: to help Clients build lifetime financial security and lead healthier lives. Across Asia, we cultivate a High-Performance, Caring Culture that empowers our people to achieve outstanding results, embrace continuous growth, and create meaningful impact.


We succeed together by fostering an inclusive environment where wellbeing, collaboration, and accountability are equally valued.

We offer 5-day work, attractive salary, MPF, group life and group medical insurance; and excellent career development opportunities to the right candidate.


We are an equal opportunity employer and welcome applications from all qualified candidates. Application forms and resume will be kept for a period of 24 months after completion of the recruitment process. (All information will be held in strict confidence and only be used for recruitment purpose).

Job Category:

Advanced Analytics

Posting End Date:

27/11/2026
Source details

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Hunghom, Kowloon, Hong Kong

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