Executive Manager – Data Engineering

As a Chapter Area Lead, you will collaborate with Crew Leaders to inspire and enable the chapter to deliver in line with squad strategy to maximize customer outcomes.

 

Your role will focus on enabling agility within the Chapter, inspiring the squad to embody future ways of working to implement, support, deliver consistently in line with strategic outcomes of the practice area.

 

 

 

Naturally talented to balance cultural, people, and technology requirements.

Able to communicate well, work across boundaries, share problems and build a “one team” mentality across time zones, cultures and working styles

Able to confidently support Crew Leads with delivery, define Chapter targets, workforce strategy and set trackable goals.

Inspired to drive a Tech culture of growth and continuous improvement (CI) based on data (metrics)

Adept with executive level stakeholder management skills that enable the promotion of team’s ideas

Able to inspire squads to operate with a mentality of constructively challenging each other where appropriate to achieve collective goals and outcomes

Good at identifying technology limitations and deficiencies in existing systems and associated platforms to develop scalable and sustainable long-term solutions

Able to drive data transformational projects, creating a positive leadership impact within the crews by encouraging diversity of thoughts, to uplift the chapter’s overall technical capability.

We are driving a strategy of creating a best-in-class AWS based cloud-based data platform. We use a broad range of innovative tools and services to enable the data processing and access requirements of the CBA group with a key goal of enabling the utilizations of GenAI and other advanced data techniques across the business.

People management experience of large teams (30+) with previous experience in playing leadership roles within data engineering chapter and a background of engineering experience.

Expertise in leading and driving team of platform engineers utilizing AWS services (EMR, Redshift, Glue among others) highly desirable Proven experience working in financial services or similarly regulated industry with a strong risk mind set Experience implementing large scale self-service enterprise data platforms highly desirable.