Allied Reliability is seeking an Asset Hierarchy Validation & Attribute Data Specialist (Long-Term Project Assignment) to support a Lake Norden facility Reliability Improvement Journey (RIJ) by validating existing equipment hierarchy within Maximo CMMS and collecting detailed asset attribute data down to the replaceable component level.
This role is critical to enabling:

Equipment Maintenance Plan (EMP) development
Accurate spare parts identification
Improved maintenance execution efficiency
Reduced downtime during reactive maintenance events
Long-term asset data governance and sustainment

The individual will perform shop floor equipment walkdowns utilizing Allied Reliability’s digital walkdown tools to capture equipment nameplate data, photographs, asset attributes, component relationships, and maintainability information.
The role will work under the guidance of an Allied Reliability Senior Supervisor during onboarding and transition into a semi-independent execution role with periodic oversight and auditing.

Primary Responsibilities
Asset Hierarchy Validation

Validate existing Maximo asset hierarchy against physical field conditions
Confirm assets are identified to the appropriate maintainable and replaceable component level
Identify missing, duplicate, incorrectly assigned, or improperly structured assets
Validate parent/child equipment relationships
Support hierarchy standardization efforts

Attribute Data Collection
Collect and validate critical equipment attribute data including:

Motor HP
Voltage
Amperage
RPM
Frame size
Manufacturer
Model number
Serial number
Pump capacity/input/output data
Gearbox ratios
Bearing information
Lubrication data
Critical spare information
Additional maintainability-related data as required

Digital Walkdown Execution

Utilize Allied Reliability walkdown tools in the field
Capture and organize equipment photographs and nameplate data
Use AI-assisted identification tools where nameplate information is damaged or unavailable
Perform manual verification when automated identification is insufficient
Maintain organized and traceable field records

Data Governance & Quality

Transfer collected data into SmartCBM staging environment
Assist with formatting and standardization of asset data
Support validation prior to loading into Maximo test and production environments
Maintain data integrity and naming consistency
Identify gaps impacting EMP development and maintenance execution

Collaboration

Work closely with Maintenance, Reliability, Operations, and Allied Reliability personnel
Participate in periodic audits and review sessions with Allied supervisory personnel
Support long-term sustainment of hierarchy and asset data governance practices

Required Qualifications
Technical Background

Minimum 3–5 years of industrial maintenance, reliability, CMMS, or asset management experience
Experience within manufacturing, food & beverage, industrial processing, or heavy industry environments preferred
Working knowledge of rotating equipment and industrial assets including:
- Motors
- Pumps
- Conveyors
- Gearboxes
- Valves
- Process equipment
- Instrumentation

CMMS Experience

Experience working within a CMMS/EAM platform required
IBM Maximo experience strongly preferred
Understanding of:
- Asset hierarchy structures
- Equipment parent/child relationships
- Functional locations
- Asset records
- Equipment classifications
- Spare parts relationships

Data & Documentation Skills

Strong attention to detail
Ability to maintain structured and consistent data
Comfortable working with spreadsheets, digital tools, and mobile applications
Ability to identify inconsistencies and missing information

Field Execution Capability

Comfortable working in active manufacturing environments
Ability to perform extensive shop floor walkdowns
Ability to read nameplates, drawings, and basic technical documentation
Ability to work independently after onboarding

Preferred Qualifications

Experience supporting Reliability Improvement initiatives
Exposure to Equipment Maintenance Plans (EMP), PM optimization, or RCM methodologies
Experience with SmartCBM, APM, or digital asset management tools
Understanding of ISO 14224 asset taxonomy concepts
Familiarity with dairy, food processing, or continuous process manufacturing environments
Experience validating or building hierarchy to maintainable component level

Ideal Candidate Profile

Mechanically inclined
Detail-oriented
Organized
Comfortable on the shop floor
Technically curious
Capable of balancing field execution with data accuracy
Able to recognize the difference between operational equipment grouping and maintainable component structure

This role is best suited for someone with practical maintenance or reliability experience rather than a purely administrative data-entry background.

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Reliability Data Specialist