Skills-Based Pay Architecture Director

The mandate

A robotics manufacturer loses machine-perception, safety-controls and precision-motion specialists despite paying premiums by job title. Leaders propose skill allowances, but the current inventory is self-declared, course completion substitutes for demonstrated proficiency and overlapping skills could attract multiple payments. Employees fear that a specialist model will narrow careers. The company needs a credible architecture before next-year salary planning and union dialogue.

Across twelve weeks, the principal deliverable is a verified skill taxonomy, pay mechanism, pilot placement and governance model. Milestone one identifies priority work and skill scarcity in week three; milestone two defines proficiency evidence and job interaction in week six; milestone three prices options and tests employee cases in week nine; milestone four provides pilot decisions, control design and an implementation-ready council paper.

The client will provide job architecture, employee profiles, skill records, project assignments, assessment results, training data, vacancy and attrition evidence, pay, premiums, collective terms, performance records and manager access. Acceptance requires priority skills to map to observable work, proficiency tests to be reproducible, payments to avoid double counting with job grade and internal reward staff to place a representative employee sample consistently.

The consultancy will not assess every employee, negotiate collective terms, set individual pay, certify technical competence, procure a talent platform or configure payroll. Engineering authorities validate proficiency evidence and employee representatives retain their formal role. Consultants design choices and quantify outcomes but cannot label a skill scarce solely because a leader wants a premium for a favoured team.

The model will distinguish skill possession, current application, business criticality, market scarcity and job-accountability value. It must show expiry, reassessment, stacking, portability, progression and withdrawal rules. Full rollout, individual appeals and technology implementation after the pilot are outside the engagement, and any future work requires separate acceptance criteria and fees.

Why this is external work

Engineering leaders know the work, while reward teams know job value; neither has a neutral method for deciding when skill deserves separate pay. Vendor taxonomies are broad and can reward credentials rather than demonstrated contribution. External specialists can build an evidence bridge and test unintended career or equity effects before the organisation commits to recurring premiums.

What you will own

• Identify scarce skill clusters through work demand, project bottlenecks, vacancy duration, replacement depth and external evidence.
• Define observable proficiency levels using work samples, peer calibration, assessment and sustained application rather than course badges.
• Map skill value against job grade, accountability, performance and existing premiums to prevent duplicate reward.
• Design allowance, progression, temporary premium and recognition options with expiry, reassessment and stacking controls.
• Test employee mobility, pay equity, manager discretion, career breadth and collective-workforce consequences under each model.
• Pilot placements across perception, controls, motion, manufacturing and field-service populations with calibrated engineering assessors.
• Deliver taxonomy, evidence rubrics, pricing logic, employee cases, governance rules and council-ready implementation choices.

Candidate qualifications

• Designed skills-based pay for advanced engineering, manufacturing or technology populations with demonstrable scarce capability.
• Separated skill proficiency, job value, market scarcity and performance without paying twice for the same contribution.
• Built assessment evidence from real work, calibrated experts and repeatable proficiency rubrics rather than self-declaration.
• Addressed skill expiry, stacking, portability, career mobility, employee equity and manager gaming in operational design.
• Worked with engineering authorities and employee representatives without claiming technical certification or negotiation power.
• Left reward teams able to maintain taxonomy, place pilot employees and govern premiums after project completion.

Non-negotiables

• Can complete four Japanese or Korean skill-validation workshops within the twelve-week engagement.
• Will disclose reward vendors, assessment providers, robotics employers, training platforms and employee-representation relationships.
• Brings implemented skills-based pay in advanced technical work; generic competency frameworks are insufficient.
• Accepts no authority over technical certification, collective negotiation, individual salary, payroll configuration or full rollout.

1. 49 words maximum. Describe a skill premium you rejected because job grade already rewarded the same value.
2. 49 words maximum. What evidence distinguishes demonstrated proficiency from course completion or manager nomination?
3. 49 words maximum. How would you stop skill stacking from creating unexplained pay inequity?