Product Owner - AI Delivery Transformation

Talenza; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Talenza is seeking a senior, hands-on Product Owner to lead the redesign and build of an AI-enabled delivery model.

You will own the product vision, outcomes and roadmap, manage a single prioritised backlog, and partner with engineering, data/AI, and risk stakeholders to ensure value delivery across the end-to-end process. This role combines strategic thinking with hands-on execution in a complex, regulated-like environment.

Qualifications

• Experience as a Product Owner or similar in large-scale transformation.
• Ability to define outcomes, roadmaps and acceptance criteria.
• Experience with AI-enabled delivery models.

Responsibilities

• Own the product end-to-end: vision, outcomes, backlog, acceptance criteria.
• Lead discovery to understand user problems and reduce hand-offs.
• Define work ownership between people and agents, with stakeholders.
• Translate problems into testable requirements; prioritise accordingly.
• Build and validate integrated model through prototypes and live initiatives.
• Embed responsible AI requirements, oversight and controls.
• Track cycle time, quality, adoption, and value with evidence.

Skills

Backlog leadership

Discovery & framing

Roadmapping

Stakeholder management

Agile product ownership

AI delivery

Job description

Product Owner - AI Delivery Transformation

We're looking for a senior, hands-on Product Owner to lead the redesign and build of an AI‑enabled delivery model; the end-to-end path from idea to value. This is a true maker role: help the business transform their delivery capability and own the product vision, outcomes, roadmap and a single prioritised backlog across roles, workflows, decision rights, controls and the engineering pipeline, ensuring technology enables the redesigned model (not just automates today's process).

• Own the product end-to-end: vision, outcomes, roadmap, prioritised backlog and acceptance criteria
• Lead discovery to understand user problems and remove hand-offs / simplify flow, reshaping roles and decision rights where needed
• Define where work is best performed by people, agents or both, partnering with practitioners, tech, data/AI and risk stakeholders
• Translate problems into clear, testable requirements and sequencing decisions; hold the line on what/why/priority while engineering owns the how
• Build and validate the integrated model through prototypes, a "steel thread" and live initiatives; accept/reject outcomes against product intent
• Embed responsible AI requirements, human oversight, controls and decision points early (not retrofitted)
• Establish baselines and track measures across cycle time, quality, rework, adoption, reuse, productivity, automation, risk and value, using evidence to scale/adapt/stop
• A target end-to-end model agreed and tested in real work with clear roles, workflows, controls and decision rights
• A demonstrable contribution toward reducing delivery cycle time, without reducing quality
• One integrated backlog where every skill, agent or integration is traceable to a lifecycle problem, a user and an outcome measure
• Agentic tooling showing repeat use with evidence-based scale/adapt/stop decisions (including stopping what doesn't move the metrics)
• Strong backlog leadership for delivery/engineering "users" (problem framing + testable acceptance criteria)
• Track record redesigning workflows, roles/decision rights and controls in a regulated or controls-aware environment
• Strong product craft - you personally produce problem statements, journey/process maps, prototypes, measures and roadmap options
• Practical fluency with agentic tooling (workflow/coding agents) and comfort interpreting evaluation/adoption data
• Ability to influence senior stakeholders without authority and make tough trade-offs (including stop decisions)

Nice to have: financial services/regulatory domain experience; platform/delivery transformation (Agile at scale, DevOps, developer experience); product/agile certifications.