AI-Led Maximo Functional Lead / SME
Accenture PLC
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Benefits offered by this job
Job summary
Accenture is seeking an AI-led Maximo Functional Lead / SME to guide design, configuration, and delivery of MAS implementations across enterprise assets. The role emphasizes AI-enabled accelerators, governance, and measurable business outcomes within complex environments.
The candidate will collaborate with architects, data engineers, and delivery teams to industrialise AI-enabled delivery practices, develop reusable assets, and ensure scalable, secure solutions while traveling to client sites
Qualifications
- Lead functional design translating requirements into detailed designs.
- Own fit-gap analysis and configure Maximo modules to best practice.
- Define asset structures, workflows, and maintenance strategies.
- Apply AI-assisted analysis to accelerate design and documentation.
Responsibilities
- Own functional delivery across design, build, test, and deployment.
- Create and maintain reusable AI-enabled delivery assets and IP.
- Lead and coordinate functional consultants and configuration teams.
- Support automated testing and defect resolution.
- Facilitate workshops to validate requirements and designs.
- Act as interface between stakeholders and delivery teams.
- Ensure adherence to standards and traceability.
Skills
Tools
Job description
To lead the functional design, configuration, and technical delivery of IBM Maximo / Maximo Application Suite (MAS) implementations, leveraging automation, advanced analytics, AI-powered capabilities, and reusable delivery accelerators to ensure business requirements are translated into scalable, secure, and fit-for-purpose solutions aligned to enterprise processes, data, and architecture standards.
Acting as the primary bridge between Solution Architecture and technical delivery, the role combines deep Maximo functional expertise with strong technical and data awareness to ensure solutions deliver measurable business outcomes while remaining technically robust, maintainable, and future-ready. The role champions an AI-first approach both in the Asset Management solutions we deliver and in how we deliver them, driving the creation and adoption of AI-powered delivery accelerators, reusable implementation assets, intelligent agents, and automation frameworks that reduce technical debt, improve quality, and accelerate deployment.
The individual will work closely with business stakeholders, architects, data specialists, AI engineers, and delivery teams to define and implement next-generation asset management solutions that enhance decision-making, improve workforce productivity, and unlock the value of enterprise asset and operational data. In parallel, they will define and industrialise AI-enabled delivery practices, creating scalable implementation IP, knowledge assets, and accelerators that can be reused across client engagements to improve consistency, productivity, and delivery outcomes.
- Translate solution architecture and requirements into detailed functional designs
- Lead fit-gap analysis and configure Maximo modules aligned to best practice
- Define asset structures, workflows, job plans, and maintenance strategies
- Leverage AI-assisted analysis and design techniques to accelerate requirements definition, fit-gap assessments, configuration design, and solution documentation.
- Own functional delivery across design, build, test, and deployment, leveraging and continuously enhancing AI-powered delivery accelerators, automation, and reusable implementation assets to improve quality, speed, consistency, and scalability.
- Define, create, and maintain reusable AI-enabled delivery assets, agents, prompt libraries, accelerators, and implementation IP for use across client engagements.
- Lead and coordinate functional consultants and configuration teams.
- Support automated testing (SIT/UAT), defect resolution, and solution validation.
- Facilitate workshops to validate requirements and designs, using AI-powered insights where appropriate.
- Act as the primary interface between business stakeholders and delivery teams.
- Support adoption through clear articulation of system, process, and AI-enabled ways of working.
- Ensure adherence to design standards, governance, and documentation
- Maintain requirements traceability and configuration integrity
- Capture, codify, and continuously improve delivery knowledge, patterns, and lessons learned into reusable AI-enabled assets and implementation methodologies.
- Apply machine learning, predictive analytics, generative AI, and digital twin technologies to asset management challenges.
- Develop use cases for failure prediction, risk forecasting, maintenance optimisation, inventory optimisation, and asset investment planning.
- Define AI governance, model management, and responsible AI approaches for critical infrastructure environments.
- Work with Technical and Solution Architects to ensure design feasibility
- Define and support integrations with ERP, PLM, and enterprise systems
- Contribute to data migration, mapping, and alignment to target data models
- Support delivery of solutions that meet non-functional requirements
- Identify opportunities to automate implementation activities through AI, workflow automation, and reusable delivery frameworks.
- Define data structures and ensure alignment to enterprise data models
- Ensure consistent configuration across workstreams
- 30 days vacation per year
- private medical insurance
- 3 extra days leave per year for charitable work of your choice!
At Accenture in addition to a competitive basic salary, you will alsohave an extensive benefits package which includes 30 days vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services, we are known for.
Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
#LI-EU
- Experience leading teams to deliver IBM Maximo / MAS implementations in a functional/techno-functional role.
- Strong understanding of EAM processes (asset, work, maintenance, inventory)
- Experience creating reusable delivery assets, accelerators, automation frameworks, or AI-enabled implementation approaches.
- Hands-on Maximo configuration experience
- Experience in fit-gap, functional design, and delivery execution
- Understanding of:
- Integration concepts and data models
- Data migration and data quality considerations
- Ability to operate between Solution Architecture and delivery teams
- Strong stakeholder engagement and workshop facilitation capability
- Experience in Aerospace & Defence and/or MRO environments
- Familiarity with asset-intensive, regulated industries
- Knowledge of maintenance and reliability approaches (e.g. FMEA, RAMT)
- Experience integrating EAM solutions with ERP, PLM, supply chain, or IoT platforms
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