Senior Business Value Consultant, Agentic AI

Responsibilities

• Participate in qualified discovery workshops as the customer-value partner on cross-functional account teams.
• Analyze workflows, intents, handoffs, pain points, operating conditions, and business priorities to identify automation opportunities.
• Translate customer objectives, contractual commitments, and desired outcomes into measurement plans.
• Define value hypotheses, baselines, target outcomes, KPIs, success criteria, assumptions, owners, and data sources.
• Partner with Sales and customer stakeholders to identify outcomes important to economic buyers, operational champions, and executive sponsors.
• Develop ROI, total cost of ownership, payback, time-to-value, adoption, quality, customer experience, and risk-reduction models.
• Identify measurement risks, reconcile data discrepancies, investigate anomalies, and validate customer-facing reporting.
• Partner with Product, Engineering, Finance, Professional Services, and customer teams to connect data sources and define reporting requirements.
• Build customer value-management dashboards and scorecards.
• Turn complex data into actionable insights and executive narratives.
• Support launch-readiness reviews and maintain visibility into value realization throughout implementation.
• Lead or co-lead customer value conversations, executive readouts, and recommendations.
• Support transition from deployment into managed services or Customer Success engagement.

Requirements

• 6+ years of experience in value engineering, management consulting, strategic finance, customer analytics, business operations, business intelligence, or a related customer-facing role in enterprise software, AI, or technology.
• Experience building business cases that withstand CFO-, VP-, and executive-level scrutiny.
• Experience translating ambiguous business goals into measurable outcomes, baselines, targets, and operating plans.
• Experience with customer discovery, business-process mapping, or workflow analysis for enterprise customers.
• Experience defining contact-center or operational baselines, including fully loaded cost per contact, average handle time, first-contact resolution, containment, or transfer outcomes.
• Ability to explain conclusions and underlying assumptions to executive sponsors.
• Fluency with product, usage, billing or pricing, financial, and operational data.
• Experience using spreadsheets and at least one BI, analytics, or data-querying tool.
• Strong written and verbal communication skills.
• Ability to manage multiple strategic accounts or workstreams with disciplined follow-through.
• Experience collaborating across Customer Success, Professional Services, Sales, Product, Engineering, and Finance.

Compensation and Benefits

• Competitive salary.
• Comprehensive benefits and opportunities for growth.
• AI tools and training programs.