AI Product Manager Data & AI Brisbane

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About the role

AI Product Manager

A hands-on product role across client AI adoption and our own products. You'll turn business needs into a clear roadmap, work between clients, executives and engineers, and measure whether what we ship makes a difference.

At a Glance

• Location: Melbourne, Australia (Hybrid); office and client-site attendance to be agreed.
• Employment type: Full-time, permanent.
• Experience: Demonstrated product ownership and delivery of AI or digital initiatives from discovery through adoption; depth matters more than a fixed number of years.
• Role type: Hands-on, client-facing product management; not a people-management or full-time development role.
• Core focus: AI adoption roadmaps, product discovery, PRDs and backlogs, responsible delivery and measurable business outcomes.
• Reports to: CISO.
• Working hours: Australian business hours, with agreed overlap with Power Tech Nexus delivery teams in India.

About Power Tech Consulting

Power Tech is a data, AI, cloud, and transformation consultancy serving mining, financial services, hospitality, and government clients across Australia, New Zealand, Fiji, Singapore, and India. We're multi-vendor, so we recommend what's right, not what's easy to sell, and we're building our own products alongside client work.

Service through contribution. Trust through transparency. Accountable from end to end. Join us and help shape what Power Tech becomes.

About the Role

You'll help Australian clients turn AI ambitions into useful products and ways of working. You'll run discovery, decide which problems are worth solving, and own a clear roadmap from pilot to adoption. Our clients include mining, financial services and government organisations, where trust, evidence and practical outcomes matter.

You'll also shape our internal products, including PowerBrain, our knowledge service on Azure in the Sydney region. You'll work with clients and executives in Australia and delivery teams at Power Tech Nexus in India. You own the what and why; architects own technical design, engineers build, and delivery leads coordinate execution. This is not a role where success means producing a strategy deck and handing it over.

Key Responsibilities

• Run use-case discovery through interviews, service-design workshops and observation of real workflows; establish the problem, users and baseline before choosing a tool.
• Prioritise opportunities by business value, feasibility, data readiness, cost and risk. Build AI adoption roadmaps with named owners, dependencies and clear investment decisions.
• Write PRDs, user stories and testable acceptance criteria. Own the backlog, explain trade-offs and agree release priorities with clients and offshore delivery teams.
• Guide Microsoft 365 Copilot, Copilot Studio and Power Platform pilots and roll-outs, bringing in architects and engineers for integration, security and production design.
• Own product discovery and improvements for PowerBrain and other internal products, including knowledge quality, access boundaries and useful user feedback.
• Work with the CISO and governance team to embed controls aligned with ISO 42001 and ISO 27001: risk and impact assessments, data permissions, evaluation evidence, human-review gates and release approvals.
• Agree AI quality thresholds, escalation and rollback criteria before release. Check accuracy, privacy, security, accessibility and failure modes alongside business acceptance.
• Lead stakeholder and executive engagement, including business cases, demonstrations and clear recommendations on what not to automate.
• Plan change and adoption with client champions: communications, training, support handovers and feedback loops beyond the pilot.
• Measure adoption, task success, time saved, quality, cost-to-serve and commercial outcomes against agreed baselines. Use the evidence to improve, scale or stop initiatives.

Must-Have Skills and Experience

• Product management, product ownership or equivalent digital delivery experience, with examples of taking a business problem through discovery, delivery and adoption.
• Practical involvement in at least one AI or automation pilot or roll-out, with a clear account of your contribution, the trade-offs and the outcome.
• Ability to write useful PRDs, prioritised backlogs, user stories and acceptance criteria that engineers and testers can work from.
• Working knowledge of Microsoft Copilot, Copilot Studio and Power Platform, with the ability to judge where they fit and when another approach is better.
• Technical literacy to discuss APIs, workflow automation, cloud integration, data access and AI limitations with engineers; production software development is not required.
• Strong discovery, facilitation and service-design skills, and confidence presenting decisions and investment cases to executives.
• Experience working with distributed delivery teams and managing scope, dependencies and stakeholder expectations.
• Practical understanding of responsible AI, privacy and information security, including when human review is essential and when to seek specialist advice.
• Evidence of planning adoption and measuring business outcomes, not just launching features.
• Clear written and spoken English and full working rights in Australia.

Desirable Skills

• AI product management, SAFe PO/PM, CSPO, PSPO or similar certification; equivalent practical experience is welcome.
• Experience with Microsoft 365 Copilot adoption, Copilot Studio agents, Power Automate or Azure Functions integrations.
• Exposure to Azure AI services, retrieval-augmented generation, enterprise knowledge products or AI evaluation methods.
• Experience in Australian mining, financial services, government or other regulated environments; telecommunications experience is also relevant.
• Familiarity with ISO 42001, ISO 27001, the Australian Privacy Act and client data residency requirements.
• Consulting experience working directly with founders or senior executives, including proposals, scope and commercial trade-offs.
• Experience with Azure DevOps, Jira or comparable delivery tooling and product analytics.

Education

A bachelor's degree in business, technology, design, engineering or a related field, or equivalent experience.

What Success Looks Like

• Clients have a realistic AI roadmap, named decision-makers and a prioritised set of problems worth solving.
• Engineers understand what to build and why, and releases meet agreed business, safety and security acceptance criteria.
• Pilots become useful, supported ways of working where the evidence supports scaling; weak use cases are stopped early.
• PowerBrain and other internal products improve in usefulness, trust and adoption, with outcomes measured rather than assumed.
• Clients and executives can see the benefits, costs and risks clearly, and rely on your judgement.