Product Manager – Enterprise AI

Aitomic Jobs; Auckland; Hybrid; NZD 135,000 - 155,000; Full time

Job summary

University of Auckland is seeking a Product Manager – Enterprise AI to lead the AI vision, strategy and roadmap across the University. You will partner with architecture, security, data and delivery teams to translate business challenges into scalable, trustworthy AI-enabled solutions while ensuring value and governance.

You will own the AI product lifecycle from discovery through to delivery, governance and continuous improvement, balancing innovation with responsible delivery and measurable

Qualifications

• Significant experience in Product Management within large organisations.
• Strong understanding of AI and machine learning concepts.
• Ability to lead governance, security and data quality discussions.
• Proven ability to build roadmaps and investment priorities.

Responsibilities

• Develop and maintain the AI vision, roadmap and product strategy.
• Prioritise AI-enabled products and manage their lifecycle.
• Collaborate with architecture, security, data and delivery teams to ensure scalable, governed solutions.
• Build business cases and evaluate opportunities based on value and ROI.
• Engage stakeholders across the University to drive AI adoption and insights.
• Promote responsible AI practices and governance across initiatives.

Skills

Product management

AI strategy

Stakeholder mgmt

Roadmapping

Governance

Job description

Short Summary

Product Manager – Enterprise AI with University of Auckland. Te Whiwhinga mahi | The opportunity We are seeking a Product Manager – Enterprise AI to lead the University's vision, strategy and roadmap for Artificial Intelligence. This role will play a critical part in shaping how AI is adopted and applied across the University, ensuring investments deliver measurable value while aligning with the University's AI Action…

Key Details

• Position / opportunity: Product Manager – Enterprise AI
• Organization: University of Auckland
• Country / coverage: New Zealand
• Location: Auckland, Auckland, New Zealand
• Work arrangement: On-site
• Opportunity type: Jobs
• Sector: Education
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-09-24
• Application deadline: Not specified

Description

Te Whiwhinga mahi | The opportunity We are seeking a Product Manager – Enterprise AI to lead the University's vision, strategy and roadmap for Artificial Intelligence. This role will play a critical part in shaping how AI is adopted and applied across the University, ensuring investments deliver measurable value while aligning with the University's AI Action Plan, governance frameworks and digital strategy. Working across business domains, digital delivery teams, data specialists, architecture, security and senior stakeholders, you will identify opportunities where AI can improve services, decision-making and operational efficiency. You will take ownership of the AI product lifecycle, from discovery and business case development through to implementation, governance, measurement and continuous improvement. This is an exciting opportunity for an experienced Product Manager to help define the future of AI at the University. You will be responsible for balancing innovation with responsible delivery, ensuring AI initiatives are supported by strong data governance, appropriate security controls, clear outcomes and robust return on investment. While you will not develop AI models directly, you will work closely with technical teams to translate business challenges into AI-enabled solutions that are practical, scalable and trustworthy. Your responsibilities will include: Developing and maintaining the University's AI vision, roadmap and product strategy Leading the prioritisation and lifecycle management of AI-enabled products and services Partnering with architecture, security, data and delivery teams to ensure AI solutions are scalable, secure and governed appropriately Building business cases and evaluating opportunities based on value, cost, risk and measurable outcomes Engaging and influencing stakeholders across the University to drive adoption and understanding of AI initiatives Promoting best practice in responsible AI, data governance and ethical decision-making This is a 24-month fixed-term, full-time position (37.5 hours per week). The salary range for this role is $135,000 to $155,000 , negotiable depending on skills and experience. A full description of your duties and the role are provided in the position description linked HERE He kōrero mōu | About you You are an experienced Product Manager who enjoys working at the intersection of strategy, technology and business outcomes. You have a strong understanding of AI and machine learning concepts and can confidently assess opportunities, risks and value propositions associated with AI-enabled solutions. You are comfortable leading conversations around governance, security, architecture, data quality and return on investment, and can translate complex technical concepts into clear business outcomes. You bring a collaborative approach, strong stakeholder management skills, and experience guiding products through their full lifecycle, from discovery and prioritisation through to delivery and continuous improvement. You are equally comfortable working with senior leaders, business owners, architects, security teams and technical specialists, helping align diverse perspectives around a shared vision and measurable outcomes. E rapua ana mātou | We are seeking Significant experience in Product Management, Product Ownership or a similar strategic leadership role within a large and complex organisation Strong understanding of AI and machine learning concepts, including governance, risk, security and responsible AI practices Experience developing product roadmaps, business cases and investment priorities that deliver measurable outcomes and return on investment Demonstrated ability to lead cross-functional initiatives and build alignment across business, data, architecture, security and delivery teams Strong stakeholder engagement and communication skills, with the ability to influence senior leaders and translate technical concepts into business value Experience managing the full product lifecycle, including discovery, prioritisation, delivery, governance and continuous improvement Ngā āhuatanga kei a mātou | What we offer Waipapa Taumata Rau | The University of Auckland is…

Responsibilities

• Te Whiwhinga mahi | The opportunity We are seeking a Product Manager – Enterprise AI to lead the University's vision, strategy and roadmap for Artificial Intelligence.
• This role will play a critical part in shaping how AI is adopted and applied across the University, ensuring investments deliver measurable value while aligning with the University's AI Action Plan, governance frameworks and digital strategy.
• Working across business domains, digital delivery teams, data specialists, architecture, security and senior stakeholders, you will identify opportunities where AI can improve services, decision-making and operational efficiency.
• You will take ownership of the AI product lifecycle, from discovery and business case development through to implementation, governance, measurement and continuous improvement.
• This is an exciting opportunity for an experienced Product Manager to help define the future of AI at the University.
• You will be responsible for balancing innovation with responsible delivery, ensuring AI initiatives are supported by strong data governance, appropriate security controls, clear outcomes and robust return on investment.

Requirements / Eligibility

• You are an experienced Product Manager who enjoys working at the intersection of strategy, technology and business outcomes.
• You have a strong understanding of AI and machine learning concepts and can confidently assess opportunities, risks and value propositions associated with AI-enabled solutions.
• You are comfortable leading conversations around governance, security, architecture, data quality and return on investment, and can translate complex technical concepts into clear business outcomes.
• You bring a collaborative approach, strong stakeholder management skills, and experience guiding products through their full lifecycle, from discovery and prioritisation through to delivery and continuous improvement.
• You are equally comfortable working with senior leaders, business owners, architects, security teams and technical specialists, helping align diverse perspectives around a shared vision and measurable outcomes.