Signavio Process Specialist at Blackmore_Career_Site_New

, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Process Modelling, Business Process Management, SAP Signavio, Process Analysis, Future-State Design, Process Performance Measurement, Governance Frameworks, Training, Collaboration, Documentation, User Access Management, Version Control, Process Mining, Bottleneck Identification, Stakeholder Engagement, ERP Transformation

Industry

Wellness and Fitness Services

Description

Blackmores has embarked on strategic business transformation as we introduce new ways working across our ERP and tech. landscape. This transformation period will enable efficiencies and a reimagined employee experience as we deliver a new, enterprise-wide ERP. The Signavio Process Specialist is responsible for enabling, maintaining, and governing the end-to-end process landscape for the ERP transformation program using the SAP Signavio Process Transformation Suite. This role provides deep expertise in process modelling, standards, and repository management, ensuring that all business processes are accurately captured, structured, and aligned with the future-state ERP solution design. The Signavio Process Specialist works closely with the Process Integration Lead, System Integrators (SIs), functional teams, and business stakeholders to support process design activities and enforce consistent modelling practices across the program. This is a fixed-term role until mid 2028 based in Surry Hills, NSW. What we offer? Opportunities to support your local community through paid community leave WGEA certified work environment Flexible working across most of our roles A socially responsible work environment, on track to be carbon neutral by 2030 Great benefits to support your health and wellbeing, including access to discounted products Mental health support for you and your family through our Sonder assistance program Responsibilities include: Develop, refine, and maintain process models in Signavio in collaboration with functional leads and business SMEs Establish and maintain process modelling standards, naming conventions, documentation requirements, and governance frameworks for Signavio. Support functional teams by providing visibility into process variations, bottlenecks, and performance metrics derived from process mining Enable teams across the ERP program to utilise Signavio effectively by providing training, guidance, and hands-on support Support the configuration, administration, and optimisation of the Signavio workspace, including user access, folder structures, modelling conventions, and version control. Who are you? Bachelor’s degree in Business, Information Systems, Engineering, or a related field You are likely a business analyst or IT/business process specialist with strong working knowledge of SAP Signavo Process Transformation Suite (Process Manager, Journey Modeler, Process Intelligence) 7+ years of experience in process modelling, business process management, or business analysis roles within ERP or large-scale transformation programs. Proven experience in establishing process modelling standards, repository governance, and ensuring compliance across internal teams and System Integrators Demonstrated ability to capture, maintain, and optimize end-to-end business processes, including process analysis, future-state design, and process performance measurement Experience with SAP S/4HANA transformations highly desired. Agencies please note: this recruitment assignment is being managed directly by Blackmores Talent Acquisition team. We will reach out to our preferred agency partners if required. Your respect for this process is appreciated.

Responsibilities

The Signavio Process Specialist is responsible for developing and maintaining process models in Signavio while ensuring compliance with established standards. They will also support functional teams by providing insights into process performance and variations.