AVP, Data Engineering Lead (Information Security & Digital Risk Management)

OCBC Singapore Until 8/22/2026 8+ years exp First posted April 11, 2026 Last posted June 12, 2026
Job description

WHO WE ARE:

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

 Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

 We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

Why Join

Join OCBC’s Group Information Security & Digital Risk Management team and play a key role in safeguarding the Bank’s data and digital ecosystem. This role combines data engineering leadership with information risk awareness, enabling the organisation to harness data securely while strengthening resilience against information risks.

You will partner closely with business and technology stakeholders to deliver secure, scalable data platforms and drive data‑driven information risk insights and initiatives across the Group.

How you succeed

You are a strong data engineering practitioner who provides technical leadership and direction, ensuring solutions are well-architected, scalable, and secure.

Success in this role requires:

  • Ability to lead end-to-end data engineering design and solutioning.

  • Good working knowledge of technology and information risk principles.

  • Ability to translate complex data into actionable insights and initiatives.

  • Strong ability to influence stakeholders and guide engineering outcomes.

What you do

Data Engineering Leadership

  • Provide technical leadership on architecture, design, and implementation of data solutions.

  • Lead the design of enterprise data platforms, pipelines, and architecture.

  • Guide development of data pipelines (ETL/ELT) for structured and unstructured data.

  • Establish and enforce standards for data modelling, pipeline reliability, and solution quality.

  • Advise on real-time and batch data processing approaches (e.g. Kafka).

  • Drive automation, optimisation, and continuous improvement of data workflows.

  • Act as the subject matter expert (SME) for data engineering within the team.

Collaboration & Delivery Enablement

  • Partner with business and risk stakeholders to translate requirements into scalable data solutions.

  • Provide architectural guidance to ensure delivery aligns with defined standards and objectives.

  • Enable teams to deliver independently while maintaining consistency in design and approach.

Information Security & Digital Risk Management

  • Drive data‑driven information risk initiatives, including monitoring, analytics, and control enhancements.

  • Leverage data platforms to generate information risk insights and reporting for management decision-making.

  • Embed secure-by-design principles into data engineering practices.

  • Support risk governance, monitoring, and control enhancement, including regulatory compliance.

Who you are

Experience

  • 8+ years of experience in Data Engineering, Data Platforms, and Data Solutions.

  • Proven experience acting as a technical lead or senior engineer providing guidance to teams.

  • Experience in financial services or regulated environments preferred.

Technical Skills

  • Strong proficiency in SQL, Python, and data engineering concepts.

  • Experience with ETL/ELT tools (e.g. Talend, DBT, Dagster).

  • Knowledge of big data platforms (e.g. Hadoop, Spark, Hive).

  • Experience in data streaming technologies (e.g. Kafka).

  • Strong understanding of data modelling, transformation, and pipeline design.

Information Risk Knowledge

  • Good understanding of technology, information, and data risk concepts.

  • Awareness of data security controls (e.g. access control, encryption, data governance).

  • Familiarity with MAS Tech Risk Management Guidelines or regional regulatory requirements.

Leadership & Competencies

  • Ability to provide technical leadership through expertise and influence.

  • Strong stakeholder engagement and communication skills.

  • Analytical, proactive, and solution-oriented mindset.

What we offer:


Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

About this role

Summary

Lead data engineering initiatives, focusing on secure, scalable data platforms and information risk insights.

Job title

AVP, Data Engineering Lead (Information Security & Digital Risk Management)

Experience level

8+ years

Minimum experience

8+ years exp

Industry

financial services

Location requirements

Singapore-based; remote work not specified.

Salary

$150k+

Management role

No

Skills & keywords

Required skills

SQLPythonETL/ELTHadoopSparkKafkadata modelingdata security

Preferred skills

regulatory compliancerisk governance

Specializations

data engineeringinformation securitydata platformsETL/ELTbig data
Locations

Structured locations inferred from the posting.

Unknown location

Work arrangement unknown