Senior Consultant, AI Productivity & Outcomes

Location:  Detroit, MI
Position Type:  Fulltime 

Role Summary:

The Senior Consultant, AI Value & Productivity Benchmarking is responsible for evaluating AI investments by establishing defensible productivity baselines, defining success metrics, and measuring realized value before and after AI implementation. This role ensures AI initiatives are grounded in measurable outcomes, enabling executives to make informed investment, scaling, and governance decisions.

The consultant operates at the intersection of business strategy, analytics, and AI enablement—translating executive intent into quantifiable performance indicators and ensuring AI spend delivers demonstrable return.

Key Responsibilities:

AI Investment Evaluation:

• Assess proposed AI initiatives for business relevance, economic viability, and measurable impact.

• Define use-case level value hypotheses tied to cost, time, quality, throughput, or decision effectiveness.

• Support build-vs-buy and vendor selection decisions through objective value modeling.

Productivity Baselining (Pre-Implementation):

• Establish current-state productivity baselines across roles, workflows, and processes prior to AI deployment.

• Identify leading and lagging indicators (e.g., cycle time, error rates, rework, capacity utilization).

• Ensure baselines are defensible, repeatable, and auditable.

Post-Implementation Measurement & ROI:

• Measure post-AI performance against baseline metrics to quantify actual productivity lift and ROI.

• Distinguish AI-driven gains from unrelated process or staffing changes.

• Produce executive-ready reporting on realized value, adoption maturity, and scaling readiness.

Governance & Decision Support:

• Define measurement standards and KPI frameworks for enterprise AI initiatives.

• Partner with Finance, IT, and Business leaders to align AI outcomes with budgeting and planning cycles.

• Provide recommendations on continue, scale, pause, or retire AI initiatives based on evidence.

Required Skills & Experience:

• Senior consulting or advisory experience in strategy, operations, analytics, or transformation.

• Strong background in productivity measurement, performance benchmarking, or ROI modeling.

• Ability to translate ambiguous business objectives into quantifiable metrics and evaluation models.

• Executive communication skills; able to present findings to C-suite and governance bodies.

• Familiarity with AI-enabled workflows and enterprise AI adoption patterns (technical depth not required).

Success Metrics:

• Accuracy and credibility of pre-implementation productivity baselines

• Clarity and adoption of AI value measurement frameworks

• Executive confidence in AI investment decisions

• Demonstrated ROI and value realization across AI initiatives

• Reduction in speculative or unmeasured AI spend

Positioning Note (implicit, but powerful):

This role precedes, accompanies, and validates AI implementation—ensuring AI is treated as a capital investment with measurable outcomes, not an experiment.