Head of Operational Data Engineering & Data Products

Optus Enterprise; New South Wales; Híbrido; AUD 180.000 - 280.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work arrangement

On-site campus amenities

Parental leave up to 16 weeks

Employee discounts

Counselling services

Free workplace bus

Descripción de la vacante

Optus Enterprise is seeking an AD, Operational Data Engineering to lead the engineering and evolution of Optus’ cross-domain operational data capability, providing the trusted data foundation for Operational Intelligence, Automation and AI-driven Network Operations.

You will own the strategy, standards, data products and integration patterns across network, OSS, BSS and cloud domains to make data reliable, accessible and reusable at enterprise scale.

Formación

• Experience leading enterprise-scale data engineering capabilities across complex environments.
• Strong knowledge of data product engineering, streaming and batch pipelines, APIs and data models.
• Ability to influence senior stakeholders and drive strategic roadmaps.

Responsabilidades

• Own the cross-domain operational data engineering strategy and roadmap.
• Lead lifecycle management of trusted data products across network, OSS, BSS and cloud domains.
• Define standard data models, APIs and integration patterns; ensure quality and governance.

Conocimientos

Leadership

Data engineering

Data platforms

Streaming pipelines

APIs

Stakeholder engagement

Vendor management

Strategic thinking

Educación

Engineering degree

Computer Science

Data Engineering

Herramientas

Kafka

Data lake

APIs

Descripción del empleo

Optus Enterprise is seeking an AD, Operational Data Engineering to lead the engineering and evolution of Optus’ cross-domain operational data capability, providing the trusted data foundation for Operational Intelligence, Automation and AI-driven Network Operations.

You will own the strategy, standards, data products and integration patterns across network, OSS, BSS and cloud domains to make data reliable, accessible and reusable at enterprise scale.