Executive Manager RBS Data Office at Commonwealth Bank
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

11 Aug, 25

Salary

0.0

Posted On

12 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Spark, Version Control, Github, Data Engineering, Python, People Management, Technical Leadership, Sql

Industry

Information Technology/IT

Description

EXECUTIVE MANAGER – RBS DATA OFFICE(DATA AND AI)

  • You are curious and passionate to build advanced Data and AI Solutions
  • We are ambitious in transforming lives of customers using Data and AI Strategy!
  • Together we will deliver innovative solutions at scale to our customers!

TECHNICAL SKILLS AND TOOLS:

  • People Management : Demonstrated experience in managing and leading large technical teams in Data Engineering, Advanced Analytics and Data Management.
  • Technical Leadership: Deep technical expertise in data management, data engineering and cloud migration with focus on AWS Cloud will be desirable.
  • Tooling: A core background in data engineering along with decent exposure to managing hands-on tools such as Spark, Python, SQL, and key AWS integration packages.
  • Cloud Architecture: Demonstrated experience in developing, deploying, and monitoring on AWS infrastructures.
  • CI/CD: Experience with version control and CI/CD pipelines such as GitHub is desirable.
Responsibilities
  • Lead in collaboration with multiple crews within the business unit in delivering against data strategies, drive roadmaps and business priorities.
  • Drive the creation and delivery of high-quality, reusable data products.
  • Promote data skills development and foster strong collaboration across teams.
  • Define and implement data needs and governance mechanisms aligned to business goals.
  • Oversee data remediation programs, ensuring high data quality and metadata standards.
  • Align Crew data roadmaps to meet the data demands of the business and Group.
  • Standardise and scale the production of efficient, re-usable data products.
  • Strengthen producer-consumer data relationships across BUs/SUs.
  • Collaborate with Enterprise Architecture and CIOs to align on target state for data systems.
  • Promote best practices, knowledge sharing, and continuous learning in data.
  • Provide thought leadership across Data, AI, and Analytics, mentoring technical professional.
  • Work with Domain leads to implement and adhere to group’s Data Management Policy across RBS domains.
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