EY Parthenon - Manager or Senior Manager - Decision Modelling: AI & Decision Analytics

At EY-Parthenon, our unique combination of transformative strategy, transactions, tax and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, boards, private equity and governments every step of the way.

The opportunity

We are looking for a Manager or Senior Manager to join our Decision Modelling and Analytics team during a period of strong growth. In this role, you will lead and deliver advanced data-driven solutions, AI-enabled analytics and decision support solutions that help our clients solve complex business problems and improve operational efficiency. A strong understanding of financial and business fundamentals is important, as many engagements require translating analytical insights into financial outcomes and strategic business decisions.

You will work across a broad range of industries and clients, leveraging data, analytics and AI technologies to drive insights, optimise decision making and unlock value. The role also provides the opportunity to shape our analytics capability, grow client relationships and support business development initiatives.

Working in a collaborative and high-performing environment, you will receive strong support, training and opportunities to further develop your leadership and technical capabilities.

This hybrid position is based in Warrang – Sydney, with flexibility for candidates located in other parts of Australia or New Zealand.

Your key responsibilities

Client delivery

• Lead and deliver data, analytics and AI-driven solutions to support client decision making across forecasting, risk, operations, pricing, customer and finance-related use cases.
• Design and implement analytics frameworks, predictive models, scenario tools, simulation models and optimisation solutions to solve complex business problems.
• Apply AI technologies and automation to improve efficiency in data processing, analytics and business processes.
• Develop data models, simulation models and scenario analyses that generate actionable insights and measurable business outcomes.
• Present insights and recommendations to senior client stakeholders through clear storytelling and data visualisation.

Technical leadership

• Apply Python and modern analytics tools to develop scalable analytical solutions.
• Work with Azure and/or other major cloud platforms and modern data ecosystems to deploy analytics, data pipelines, dashboards and AI applications.
• Integrate AI and machine learning approaches where appropriate to enhance data capability.
• Ensure technical quality, robustness and governance across data and analytics outputs.

Client and stakeholder engagement

• Build and maintain strong client relationships, acting as a trusted advisor on analytics, decision support and AI-enabled transformation.
• Collaborate with internal EY teams and stakeholders across strategy, transactions, technology and consulting practices.
• Lead client workshops and discussions to understand business challenges and translate them into practical analytical solutions and delivery roadmaps.

Practice growth

• Identify new opportunities to apply data, analytics and AI capabilities to client problems, including reusable solutions and asset-based offerings.
• Support business development activities including proposals, presentations and thought leadership.
• Contribute to the development of EY’s AI and analytics capability and market presence.

Team leadership

• Mentor and develop junior team members in analytics, modelling and consulting skills.
• Lead project teams, ensuring quality delivery, timeline adherence and strong client outcomes.
• Build a collaborative and innovative team environment.

Skills and attributes for success

A bachelor's degree with around 8 years of relevant work experience, or a master's degree with approximately 7 years of related work experience.

Technical skills

• Strong background in data analytics, applied AI and decision modelling.
• Experience developing forecasting models, scenario analysis, optimisation models, risk models or business decision tools. Exposure to financial modelling, valuation or investment analysis is advantageous.
• Proficiency in Python for data analysis, modelling and automation.
• Experience working with Azure cloud platform and data services; exposure to Databricks, Synapse, PySpark or other modern cloud analytics environments is advantageous.
• Familiarity with AI and machine learning applications in business contexts.
• Experience with data visualisation tools and analytics platforms such as Power BI, Tableau, Alteryx, Databricks or similar is advantageous.

Business and consulting skills

• Strong business acumen and the ability to connect analytics outputs to operational or financial decisions.
• Ability to translate complex data insights into clear business recommendations.
• Excellent communication, storytelling and presentation skills.
• Experience managing projects and delivering work to tight deadlines.

Leadership and collaboration

• Proven experience in client engagement and relationship management.
• Strong internal stakeholder engagement and collaboration skills.
• Ability to lead teams, mentor junior staff and contribute to capability development.

What we offer you 

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We’re proud to be recognised as the #1 WORK180 Endorsed Employer in the Top 101 Employers for Women 2026.Learn more. 

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences ey.com/au/careerdevelopment
• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package: From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including up to 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally www.ey.com/au/benefits 

Acknowledgement of Country

EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging. Find out more about our vision for reconciliation at ey.com/en_au/careers/indigenous

Inclusiveness is core to who we are and how we work together, driving value for our people and for our business. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at contactrecruitment@au.ey.com or +61 3 8650 7788 (option 2). Anything you tell us will be kept completely confidential. 

Are you ready to shape your future with confidence? Apply today. 

 #LI-Hybrid 

EY | Building a better working world 

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider. 

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