TM1 CONSULTANT | FULL TIME

About the role

We are seeking an experienced and motivated TM1 Consultant to join our team on a full-time basis. Reporting to a Practice Manager, this role is suited to a technically capable consultant who shares Cubewise's passion for TM1, enjoys solving complex FP&A and planning analytics challenges, and can work directly with clients to deliver enduring solutions, practical training and meaningful support.

Key responsibilities

• Engaging with clients to understand business requirements and prepare statements of work and technical solution recommendations.

• Implementing TM1 and IBM Planning Analytics projects in accordance with approved project designs.

• Diagnosing and resolving technical issues within client systems, including complex problem solving where required.

• Creating, maintaining and updating technical documentation for implemented solutions.

• Providing training and support to clients on implemented TM1 and Planning Analytics solutions.

• Leading TM1 and Planning Analytics projects to support successful delivery on time and within budget.

• Mentoring and supporting consultants and contributing to capability uplift across the team.

• Supporting pre-sales activities, developing presentation materials and managing proof of concept demonstrations in coordination with account, practice and general management teams.

• Ensuring the quality of deliverables and adherence to best practice standards.

• Keeping up to date with relevant technologies, industry trends and developments in TM1 and Planning Analytics.

About you

• A bachelor degree or higher qualification in information technology, computer science, business information systems or a closely related discipline, or at least five years of relevant experience and/or relevant vendor certification in lieu of formal qualifications.

• At least 12 months' experience working with users and stakeholders to identify, formulate, analyse and document business requirements for ICT systems and software solutions.

• Ability to investigate and analyse business processes, procedures and work practices, identifying inefficiencies and recommend improved business practices, system functionality and system behaviours.

• Experience developing functional specifications, system plans and supporting documentation for use by developers, consultants, project teams and business users.

• Experience using data and process modelling techniques to create clear system specifications for the design, configuration and development of system software and planning analytics solutions.

• Practical experience deploying functional ICT solutions, including preparing or implementing system test plans, supporting user acceptance testing and ensuring the quality and integrity of delivered systems.

• Demonstrated experience with IBM Planning Analytics and TM1 in a consulting, implementation, support or business systems analysis environment will be highly regarded.

• Strong communication skills, including the ability to act as a central reference point for system project decisions and provide guidance, assistance, training and support to business users and project stakeholders.

Benefits

• Opportunity to join a team passionate about IBM Planning Analytics and TM1.

• Full-time role based in North Sydney, with exposure to a broad range of client projects.

• Collaborative culture built on excellence, meaningful connection, professional development and a practical enjoyment of solving complex planning challenges.

• Ongoing learning, upskilling and career development in TM1, IBM Planning Analytics, FP&A practices and related technologies.

• Competitive remuneration package commensurate with experience.

About us

Cubewise Pty Ltd is a specialist consultancy focused on IBM Planning Analytics and TM1, helping organisations level up their Financial Planning and Analysis (FP&A) practices through integrated planning, forecasting, analysis and reporting solutions. Cubewise is passionate about the power of IBM Planning Analytics / TM1 to help companies harness business complexity, consolidate data into governed planning models, improve decision-making and achieve stronger planning and analytics outcomes.