Salesforce Field Service Functional consultant
Role details
Job location
Tech stack
Job description
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Master data management and mass updates (Service Catalog, Timesheets, Service Appointments, etc.)
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Incident and problem resolution on deployed environments
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Support corrective and evolutive maintenance activities
Functional Analysis & Delivery:
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Manage business analysis
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Define use cases and user stories in collaboration with business analysts
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Translate business needs into functional specifications and user stories
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Configure user stories in Salesforce
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Perform:
o System Tests
o System Integration Tests
o Support during User Acceptance Tests (UAT)
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Manage sanity checks after production releases
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Support change management:
o User manuals
o Release notes
Requirements
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knowledge of Salesforce Lightning Experience
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Good understanding of Object Manager:
o Custom fields
o Page layouts
o Lightning pages
o Validation rules
- Administration:
o Users, profiles, permission sets, queues
- Experience with Salesforce Field Service Lightning core features, including:
o Work Orders & Work Order Line Items
o Service Appointments
o Work planning and scheduling
o Resource assignment
o Work Steps & execution flows
o Field data capture (timesheets, reports, completion data)
o Mobile workforce usage
- Knowledge of FSL objects (WO, WOLI, Service Appointments, Timesheets, etc.) is required
- Agile & Delivery
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Experience working in Agile environments
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Backlog management using JIRA
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Functional analysis:
o Use cases
o User stories
- Testing:
o Test case definition
o Test execution
o Incident and bug tracking
- Functional Lead Capabilities
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Manage demand/maintenance project(s)
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organize request priorization and stakeholder coordination
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Manage Backlog (via JIRA)
- Soft Skills
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Strong communication skills, with the ability to adapt to different audiences
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Solution-oriented mindset (quickly identify workarounds and global impacts)
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Service- and business-oriented attitude
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Availability and reliability
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Autonomous, proactive, and resourceful
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Technology-driven and eager to understand complex ecosystems