AVP II – AI and Data Engineering

Senior Manager - AI & Data Engineering

Want to be a part of Asia Pacific & Japans (APJ) largest most innovative and rapidly growing data centre company

AirTrunk is a technology company with a powerful purpose - to scale and sustain the relentless growth of the regions digital future. We do this by continuously redefining and delivering hyperscale data centres that meet the needs of our customers - the worlds most transformational companies. And were doing so sustainably for today and tomorrow.

Having opened Australias first and largest hyperscale data centres in 2017 we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APJ region. With backing from our investors including Blackstone this is just the beginning

Come join the A-Team at AirTrunk where the cloud meets the ground.

A Snapshot

As Senior Manager - AI & Data at AirTrunk you will lead a multidisciplinary team delivering software products AI capabilities and trusted data solutions that solve high-value business problems. You will work with business leaders to define the problem desired outcomes priority features and measurable benefits then guide delivery from discovery and design through release and ongoing operation. The role combines people leadership product delivery and technical stewardship across modern software engineering applied AI and data engineering on Databricks. You will create clarity across competing priorities build strong delivery practices and ensure the team produces secure reliable and scalable capabilities that improve how AirTrunk operates and makes decisions.

Your Day to Day

Business Partnership & Value Delivery

• Partner with business leaders and users to understand the underlying problem operating context desired outcomes and constraints before committing to a solution.
• Shape and maintain a prioritised roadmap of initiatives and features balancing customer value strategic alignment delivery risk technical feasibility and team capacity.
• Define benefit hypotheses success measures and adoption plans; track whether delivered capabilities achieve the intended operational financial risk or customer outcomes.
• Provide clear evidence-based advice on options trade-offs dependencies progress and decisions to senior stakeholders and governance forums.

Team Leadership & Delivery

• Lead coach and develop a multidisciplinary team spanning software AI and data engineering setting clear accountabilities and fostering an inclusive high-performing culture.
• Own end-to-end delivery from discovery and planning through build testing release adoption and support with visible milestones dependencies risks and quality controls.
• Establish pragmatic product and agile delivery practices that enable fast feedback disciplined prioritisation and reliable execution across multiple initiatives.
• Plan team capacity and capability remove delivery blockers and coordinate internal specialists delivery partners and vendors where required.

AI & Software Product Delivery

• Guide the design and delivery of secure production-ready software products AI-enabled applications automation and agentic workflows that address validated business needs.
• Translate business outcomes into coherent product features user stories acceptance criteria release plans and feedback loops that keep users engaged throughout delivery.
• Ensure sound software engineering practices across architecture APIs integration testing code review CI/CD cloud deployment security and maintainability.
• Oversee AI evaluation human oversight responsible-use controls monitoring and lifecycle management so solutions remain accurate safe useful and cost-effective.

Data Engineering & Databricks

• Be accountable for reliable data pipelines reusable data products and governed datasets on Databricks that support operational applications analytics and AI use cases.
• Provide technical direction across lakehouse architecture batch and streaming ingestion SQL and Python engineering dbt transformations modelling and enterprise integration.
• Champion data quality lineage observability access control privacy and governance so teams and business users can trust and safely use delivered data.
• Stay sufficiently hands-on to review designs and code challenge technical decisions support incident resolution and guide the team through complex engineering problems.

Governance Operations & Stakeholder Leadership

• Establish fit-for-purpose delivery governance covering scope architecture risk change release readiness benefits and operational ownership without creating unnecessary overhead.
• Work closely with Enterprise Architecture Cyber Security Data Governance Technology and business teams to align solutions with organisational standards and target platforms.
• Ensure production services have clear ownership support models service objectives monitoring incident practices lifecycle plans and transparent run costs.
• Build trusted relationships across AirTrunk communicate effectively with technical and non-technical audiences and create shared accountability for outcomes and adoption.

Requirements

• Significant experience delivering software data and AI capabilities in complex organisations including several years leading technical teams and concurrent initiatives.
• Proven people leadership with experience setting direction coaching engineers building capability managing performance and creating an inclusive team environment.
• A strong track record of taking ambiguous business problems through discovery prioritisation delivery adoption and measurable benefit realisation.
• Strong product and delivery management skills including roadmaps feature prioritisation agile ways of working dependency management risk management and stakeholder governance.
• Broad software engineering knowledge across cloud-native applications APIs integration automated testing CI/CD security reliability and support.
• Practical data engineering and Databricks knowledge including lakebase lakehouse patterns pipelines SQL Python dbt modelling and governance.
• Working knowledge of applied AI and ML including LLM solutions evaluation observability responsible AI human oversight and production lifecycle.
• Ability to engage deeply in technical design and code reviews while delegating effectively and keeping the team focused on business outcomes.
• Excellent communication and influencing skills able to explain trade-offs and align executives business teams and technical specialists.
• Experience with capacity planning commercial and vendor management budgeting and balancing delivery commitments across a portfolio of initiatives.
• Strong judgement structured problem-solving and comfort operating through ambiguity changing priorities and a fast-paced delivery environment.
• A relevant degree or equivalent practical experience in software engineering data AI computer science or a related discipline.

The AirTrunk Culture

Working at AirTrunk is a once in a lifetime opportunity to fast-track your career and amplify your impact. Whilst youre helping scale our regions digital future well help you and unleash your full potential.

The pace in which we operate means youll feel an electric atmosphere at are a team of challengers and collaborative problem solvers who break new ground every day. We do this by living our values going above and beyond and being dynamic transparent and responsive.

Every AirTrunker brings their own unique background and diverse perspective to find solutions to problems that matter. We make sure you have everything you need to make your mark and thrive in a flexible and safe working environment where everyone feels welcome. Our benefits empower AirTrunkers to stay positively charged.

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EEO Statement

The Company is an equal opportunity accordance with applicable law we prohibit discrimination against any applicant employee or other covered person based on any legally recognized basis including but not limited to: veteran status uniformed servicemember status race color caste immigration status religion religious creed (including religious dress and grooming practices) sex gender gender expression gender identity marital status sexual orientation pregnancy (including childbirth lactation or related medical conditions) age national origin or ancestry citizenship physical or mental disability genetic information (including testing and characteristics) protected leave status domestic violence victim status or any other consideration protected by federal state or local law. We are committed to providing reasonable accommodations if you need an accommodation to complete the application process please email