Manager, AI Growth Engineer

IFM Investors is a global asset manager founded and owned by pension funds with capabilities in infrastructure equity and debt private equity private credit real estate and listed equities.

Our purpose is to invest protect and grow the long-term retirement savings of working people. We believe healthy returns depend on healthy economic environmental and social systems - and these are evolving on a scale never experienced before. To find opportunity build value and meet the needs of future generations you need scale skill and expertise. Thats what IFM Investors has built up over 30 years.

With assets under management of approximately $291.1 AUD billion (at 30 June 2026) we prioritise the interests of over 883 institutional investors worldwide. IFM operates from 17 offices across Australia Europe North America and Asia.

For more information visit.

The Opportunity

At IFM youre not just part of an investment company but an invested one. We see the work we do as the chance to take sustainable responsible steps forward for millions of people around the world. So we have made sure to create a workplace thats inclusive accountable and collaborative. Where youre given the opportunities to make a meaningful contribution and grow your skills. All while feeling valued and supported for who you are and what you bring to the team. Along with the chance to make a meaningful positive difference from day one we offer a competitive salary and generous leave entitlements. Our hybrid and flexible approach can vary by team and role it is built around trust. We encourage our people to manage their work life rhythm in a way that works best for them and their teams.

Business Overview

Our Clients & Strategy team covers Business Development Investor Relations External Relations Sustainable Investment and Brand Marketing & Communications including Internal Communications. It is responsible for all communications to investor prospects existing investors and their asset consultants as well as a broad range of other stakeholders including governments and media.

The Role

The AI Growth Engineer will sit within Marketing Brand & Communications and work across Clients & Strategy to identify build and scale practical AI-enabled solutions that improve client outcomes commercial effectiveness employee experience and operational efficiency.

This is a hands-on builder and strategist role. The role will help C&S move from AI ideas and pilots to real workflow change by partnering with teams to reimagine processes design use cases build prototypes and minimum viable solutions and support adoption into day-to-day ways of working.

The role will work across MB&C Global Client Solutions Sustainable Investment Product Strategy & Innovation Global External Relations and other relevant C&S teams. It will convert business problems into AI-enabled workflows using approved enterprise platforms and tools such as Microsoft Copilot Copilot Studio Power Platform Power Automate Power BI Microsoft Fabric and other approved AI and automation tools.

The role will also support the C&S AI Innovation Forum build AI fluency across C&S maintain a pipeline of AI opportunities and ensure AI solutions are developed responsibly securely and in line with IFM governance privacy compliance and risk settings.

Your Background and Experience

Experience working in AI automation data digital transformation product management marketing technology analytics workflow redesign or a related field.

Proven ability to translate business problems into practical AI automation or data-enabled solutions.

Experience building or configuring AI-enabled tools agents workflows dashboards or automations using low-code no-code or technical platforms.

Experience designing and delivering pilots prototypes or minimum viable products in a business environment.

Strong understanding of how AI can improve business processes knowledge management reporting client insight content workflows productivity and decision support.

Experience working with senior stakeholders to define problems design solutions and measure outcomes.

Comfortable operating between business teams and Technology with the ability to explain technical concepts clearly to non-technical audiences.

Strong understanding of responsible AI principles including data privacy bias accuracy governance transparency and human accountability.

Desirable: experience in financial services asset management professional services or another regulated environment.

Desirable: experience with Microsoft Copilot Copilot Studio Power Platform Power Automate Power BI Microsoft Fabric APIs prompt engineering agentic AI workflows Python or SQL.

Qualifications

Bachelors degree or equivalent experience in a relevant field such as technology business data marketing computer science engineering digital transformation analytics or innovation.

Desirable: qualifications or certifications in AI data analytics automation product management agile delivery Microsoft Power Platform Microsoft Fabric responsible AI or digital transformation.

Business knowledge

Computer science engineering digital transformation analytics or innovation.

Understanding of how MB&C supports commercial outcomes client engagement reputation brand positioning and business growth.

Understanding of how C&S teams create value through client relationships product development sustainability market insight communications and commercial execution.

Ability to connect AI opportunities to practical business outcomes including improved speed quality consistency client insight productivity and decision support.

Interest in private markets institutional investors and long-term capital.

Understanding of working in a regulated environment including the need for strong governance human judgement and careful handling of data.

Technical Knowledge

Understanding of workflow automation and process orchestration.

Practical understanding of AI tools large language models prompt engineering and AI-enabled workflows.

Experience building solutions with low-code or no-code platforms.

Studio Power Platform Power Automate Power BI or similar tools.

Working knowledge of Microsoft 365 and the Microsoft ecosystem including Copilot Copilot

Familiarity with data quality data governance structured and unstructured data sources.

Ability to design test and refine AI outputs for accuracy usefulness and usability.

Understanding of responsible AI including privacy security bias hallucination risk transparency and human review.

Desirable: Microsoft Fabric APIs data integrations Python SQL vector search knowledge bases retrieval-augmented generation CRM martech and client intelligence platforms