Director, Head of Data

Status: open

Job context

Hiring for a major Mobile, Fibre Broadband and TV services provider

Salary expectations – Package

192,000 USD – 249,000 USD

Job location

Singapore, SG

On-site – Remote – Hybrid position

Full remote or Hybrid

About our prospect

A leading international financial services group that helps people make their decisions easier and lives better. With its global headquarters in Toronto, Canada, we operate as Manulife across its offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States. The company provides financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2022, the company had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers. At the end of 2022, it had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). Our prospect trades as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under ‘945’ in Hong Kong.

Job description

We are seeking a dynamic and experienced leader to drive the transformation of our data strategy and governance. The ideal candidate will champion the development of data assets, lead the implementation of data engineering solutions, and build and mentor a high-performing team to deliver game-changing data products and solutions. The successful candidate will collaborate with global and regional teams to scale the data technology stack and ensure data is at the forefront of platform changes.

Responsibilities

Lead and deliver the refresh of overall data strategy in collaboration with regional and global teams
Establish and chair data governance council / processes, and data ownership structure including the prioritization of remediation activities required for data quality enhancements.
Lead the data capture / ingestion and curation capability to enable continuous enhancements of data assets across the organisation.
Collaborate with regional and global teams to scale the data technology stack to best support the priorities of company strategy.
Lead the design, architecture and implementation of data engineering solutions for Advanced Analytics, scalable insights and digital applications.
Hire, train and coach a strong team of data professionals to realize their full potential in the service of creating game changing data products and solutions.
Partner with the CIO to create and deliver a compelling data vision & data driven strategy for the organisation.
Partner with technology and business teams to ensure data is at the fore front of any platform changes in the form of data capture, curation and insight consumption.

How will you create impact?

This role will play a critical part in shaping the organization’s data strategy, governance, and technology stack to drive impactful business decisions and digital transformation. By leading the development of data assets and engineering solutions, the successful candidate will empower teams to harness the power of data for advanced analytics, scalable insights, and innovative digital applications.

What motivates you?

You obsess about customers, listen, engage and act for their benefit.
You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
You thrive in teams and enjoy getting things done together.
You take ownership and build solutions, focusing on what matters.
You do what is right, work with integrity and speak up.
You share your humanity, helping us build a diverse and inclusive work environment for everyone.

Ideal profile

Bachelor of Engineering in IT, Computer Science or related course.
Technical knowledge in data engineering and software development of large-scale applications.
Preferably with experience in the Financial Industry.
Extensive knowledge with many of the following technologies: SQL, Oracle RDBMS, MS Synapse, MS ADLS, MS Data Factory, MS Cosmos DB, DataBricks.
Familiarity with some of the following technologies: HDFS, Hadoop, Hive, HBASE Python, Spark, PowerBI, Confluence, JIRA, Splunk, Kibana, KAFKA.
Excellent organizational and time management skills and a strong ability to recognize critical path deliverables in order to deliver within project timelines.
Strong verbal and written communication with the ability to effectively articulate and communicate technical vision, possibilities, and outcomes.
Effective stakeholder management skills and ability to partner with and influence senior management to drive data culture in the organization.