Full Time Posted 4 days ago

Closes: November 17, 2026

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JOB DETAILS

Requirements

Extensive experience leading strategic research initiatives within complex organisations.
Deep expertise across qualitative and quantitative research methodologies.
Demonstrated success influencing executive and C-suite stakeholders through evidence-based recommendations.
Strong capability in translating customer and market insights into business strategy and decision-making.
Experience leading end-to-end research programs and operating effectively in ambiguous environments.
A passion for mentoring others, driving research excellence and advancing the research discipline.
Demonstrated experience leading the adoption and advancement of AI-enabled research practices, including establishing best practices, evaluating emerging technologies and embedding appropriate governance to ensure ethical, reliable and impactful research outcomes.
Recognised expertise in AI’s application within research and insights functions, with the ability to influence executive stakeholders on opportunities, risks and strategic investment decisions.
Exceptional communication, stakeholder management and storytelling skills.

Responsibilities

Lead and deliver large-scale strategic, foundational and longitudinal research programs that influence enterprise-wide decisions.
Partner with executive stakeholders to provide evidence-based insights that inform business strategy, investment decisions and prioritisation.
Identify customer, market and behavioural trends to uncover future opportunities and guide innovation.
Synthesise complex qualitative and quantitative research findings into compelling narratives and strategic recommendations.
Drive research excellence by establishing best practice standards, mentoring researchers and elevating capability across the research community.
Lead cross-functional initiatives and influence outcomes across product, design, technology and business teams.
Lead the evolution of AI-enabled research practices across the organisation, establishing frameworks, standards and governance that enable the responsible, effective and scalable use of AI throughout the research lifecycle.
Drive thought leadership in AI-assisted research, identifying emerging tools, methodologies and opportunities to enhance research quality, efficiency and impact while maintaining research integrity and customer trust.
Foster a culture of collaboration, knowledge sharing and continuous improvement within the Research Community of Practice.