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About the Role
As a Senior Manager, AI Product Delivery Engineering, you will be responsible for enabling AI-powered Product Delivery Lifecycle (PDLC) capabilities across CFS. You will build the intelligence, knowledge and delivery enablement foundations that allow product, engineering and delivery teams to leverage AI throughout the lifecycle, from requirements and design through to build, testing, deployment and operations. Acting as a bridge between engineering, data and product teams, you will establish shared capabilities that improve delivery productivity, quality, reuse and scalability across the enterprise.
Responsibilities
- Establish enterprise capabilities that enable AI across the Product Delivery Lifecycle (PDLC), improving delivery productivity, quality and speed.
- Build and evolve the enterprise intelligence layer, including business ontology, knowledge graph and structure capabilities that support AI-enabled delivery.
- Establish AI-enabled delivery workbenches and knowledge services that support requirements, design, build, testing, deployment and operational workflows across the PDLC.
- Partner with Engineering teams to design and build the harnesses, accelerators and enablement capabilities required to embed AI throughout the PDLC.
- Partner with Data, Architecture and Engineering teams to align enterprise information models, metadata, knowledge assets and AI delivery capabilities.
- Drive adoption of AI-enabled delivery practices across product, engineering and delivery teams, establishing common capabilities that improve AI-assisted requirements management, design, testing, knowledge discovery and delivery workflows.
Requirements
- Extensive experience in software engineering, data engineering, platform engineering or technology delivery within large enterprise environments.
- Proven experience leading Agile delivery within complex enterprise environments.
- Demonstrated experience implementing AI-enabled SDLC or PDLC practices, including AI-assisted engineering, delivery or product development workflows.
- Strong understanding of AI product engineering, software engineering and modern product delivery methodologies.
- Experience with knowledge graphs, ontologies, semantic layers, metadata platforms or enterprise information management.
- Experience building shared platforms, tools, workbenches or services that improve delivery productivity, engineering effectiveness and AI adoption.
- Strong stakeholder management and proven ability to work across product, engineering, architecture, data and delivery teams to drive enterprise-wide adoption.
- Full work rights in Australia.
Location
- Sydney
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- Additional day for your birthday
- Access to CFS Employer Super
- Life Leave - 3 days per annum
- Access to Sonder who provides human-powered medical, mental health and safety support through one easy-to-use app enabling you to get support whenever and wherever you need.
- Access to Corporate rates with BUPA Health Insurance
- Confidential coaching and counselling services supporting life, mind, body, relationships, work and family to assist you in taking charge of your own health and wellbeing
About the Company
- At CFS we know that the foundation of our success lies in our exceptional people. We believe in celebrating individuality, have a passion for high performance and creating an environment where you can unleash your full potential. Our people enable us to make a difference and deliver exceptional experiences to help our customers achieve financial freedom.
- At CFS we are committed to creating a thriving environment where individuals can flourish. We believe that success is built upon strong teams, and we are dedicated to celebrating uniqueness, championing individuality and supporting a diverse and inclusive workforce. We believe that when you can truly be yourself, you can unlock your full potential.
Equal Opportunity
- We believe in celebrating uniqueness, championing individuality and supporting a diverse and inclusive workforce.