AI Customer Success Consultant

MSD

AI Customer Success Consultant analyzing business processes and evaluating AI opportunities for a global healthcare biopharma company. Collaborating closely with AI Innovation Studio leads on assessments and planning.

Posted 5/19/2026full-timeRahway • New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $87,300 - $137,400 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Conduct Research & Analytical Deep-Dives
Perform structured analysis of business processes, workflows, and pain points to identify and qualify AI opportunity areas across multiple business engagements.
Gather, organize, and synthesize data from stakeholder interviews, operational metrics, industry benchmarks, and internal systems to build a fact base for each engagement.
Conduct landscape scans of relevant AI technologies, vendor capabilities, and competitive applications to inform solution shaping.
Translate Business Problems into AI-Ready Inputs
Analyze and synthesize findings from stakeholder interviews, journey maps, and user research into clear problem statements, use cases, and desired outcomes.
Document current-state workflows, user needs, pain points, and non-functional considerations required for Opportunity Assessment.
Produce clear, well-structured analytical artifacts that translate business ambiguity into actionable inputs for AI and delivery teams.
Perform Technically Grounded Opportunity Analysis
Apply a strong understanding of AI, automation, data platforms, and cloud technologies to assess feasibility, complexity, and value potential of proposed AI solutions.
Evaluate technical and data constraints by reviewing architecture documentation, data availability, and integration requirements alongside architects, data scientists, and engineers.
Ensure proposed AI opportunities are grounded in technical reality and supported by evidence prior to handoff to delivery teams.
Build Value Cases & Support PoC Planning
Own the end-to-end value case for each assessed AI opportunity — from initial data discovery and analysis through building ROI models and business cases — providing the quantitative rigor needed to validate, prioritize, and advance initiatives into PoC.
Define and document scope boundaries, assumptions, success metrics, and risk factors to support early PoC planning.
Ensure analytical outputs are complete, coherent, and decision-ready, reducing friction during transition to delivery teams.
Maintain traceability from business problem through value hypothesis to recommended path forward.
Support Stakeholder Alignment & Reporting
Build strong working relationships with business and IT stakeholders through clear communication, analytical credibility, and follow-through.
Prepare executive-ready briefings, scorecards, and summary reports that distill complex analytical findings into clear recommendations.
Contribute to positive stakeholder experiences by maintaining rigor, transparency, and momentum throughout engagements.

Requirements

What you’ll need

High school diploma required.
Minimum of 3 years of experience in business analysis, strategy, technology consulting, customer success, or innovation-focused analytical roles.
Experience evaluating technology-enabled initiatives, with exposure to AI, automation, or data platforms preferred.
Track record of producing structured analytical deliverables (business cases, opportunity assessments, ROI models) in complex enterprise environments.
Research design and analytical synthesis, including the ability to structure ambiguous problems into clear analytical frameworks.
Strong quantitative and qualitative reasoning, with comfort building financial models, value cases, and data-driven recommendations.
Ability to clearly document business challenges, desired outcomes, and supporting evidence for audiences.
Solid understanding of technology value propositions, including AI/GenAI, data platforms, cloud services, and automation.
Ability to critically assess technical feasibility and engage technical partners with informed, evidence-based questions.
Familiarity with Agile and iterative delivery approaches.

Benefits

Comp & perks

medical, dental, vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

business analysisstrategytechnology consultingcustomer successinnovation-focused analysisAIautomationdata platformsfinancial modelingvalue cases

Soft Skills

quantitative reasoningqualitative reasoningclear documentationanalytical credibilitystakeholder alignmentcommunicationproblem structuringrelationship buildingtransparencyfollow-through