Value Engineer (non-technical: reports to Customer Success)

PrescriberPoint is a health tech company focused on improving pharmaceutical marketing and prescriber engagement. They are seeking a Value Engineer to serve as the analytical backbone of the Customer Success organization, quantifying the business impact of their platform for pharma clients through various stages of the client relationship.

Responsibilities:

• Partner with Sales on the highest-priority, latest-stage pipeline opportunities to build customized business cases that help convert prospects into clients
• Conduct rapid “boot camp” analytics engagements for prospective pharma brands: target list analysis, addressable HCP universe sizing, market opportunity assessment, and estimated ROI / NPI lift modeling
• Develop and present executive-ready business value assessments that tailor PrescriberPoint’s program to each brand’s specific therapeutic area, competitive landscape, and commercial goals
• Create reusable ROI frameworks and models that can be adapted across deals while maintaining the rigor needed for each individual engagement
• Translate pre-sale commitments and assumptions into concrete KPIs, success metrics, and performance baselines for each newly launched brand program
• Work with Account Managers to articulate each pharma brand’s commercial strategy into specific, actionable levers and dials that internal delivery teams (Marketing, Product, Operations) can execute against
• Partner with Data & Analytics to stand up tracking mechanisms, dashboards, and measurement frameworks (including DiD-based NPI lift and intent-tiering methodologies) for each account
• Maintain “projected vs. actual” performance scorecards for all managed-service accounts, proactively flagging when delivery is off-pace and recommending course corrections
• Prepare the analytical foundation and value narrative for Quarterly Business Reviews, arming Account Managers with the data and story they need to present to clients
• Partner with Marketing to translate brand strategy into targeted, measurable campaign approaches — ensuring tactical execution stays aligned with the strategic impact model
• Serve as the internal analytical advocate for the client’s objectives, holding delivery functions accountable to the commitments made during the sale
• Build incremental business cases for upsell and cross-sell opportunities — new brands, additional modules, expanded program scope — using actual performance data from existing engagements
• Compile end-of-term value realization reports comparing projected impact to actual delivery, forming the backbone of renewal narratives
• Feed client-level insights and patterns back into Product, Sales, and leadership to inform strategic direction and program evolution
• Build templated frameworks, playbooks, and self-serve tools that Account Managers can use for accounts that don’t require dedicated VE engagement
• Develop cross-account benchmarking data sets that strengthen PrescriberPoint’s institutional knowledge and improve the precision of future business cases

Requirements:

• 5+ years of experience in a business strategy, analytics, consulting, or value engineering capacity within a B2B software, SaaS, or services environment
• Strong pharma / life sciences industry experience — you're fluent in the language of NPI, NBRx/TRx, IDN, formulary dynamics, HCP targeting, and pharma brand commercial strategy. We would consider a candidate without pharma experience who has unusually strong analytical and business consulting skills, but the ramp will be steep
• Advanced Excel / Google Sheets proficiency — you build financial models, ROI frameworks, and scenario analyses naturally and are comfortable with data at a business-user level
• Exceptional business storytelling — you can translate complex data into clear, compelling narratives for both internal stakeholders and (when needed) client-facing audiences, typically through polished slide decks and executive summaries
• Cross-functional collaboration — you've worked successfully across Sales, Customer Success, Analytics, Marketing, and Product organizations and can influence without authority
• Consulting-style problem solving — you thrive in ambiguous environments, can structure a problem from scratch, and are more energized by figuring things out than by following a playbook someone else wrote
• Literate with AI tools to support, accelerate, and automate your primary deliverables and related workstreams
• Background in management consulting, investment banking, or a dedicated value engineering function at a SaaS company
• Experience building or contributing to ROI / business value assessment models used in enterprise sales cycles
• Familiarity with pharma measurement methodologies — difference-in-differences analysis, matched-panel studies, NPI lift measurement, or similar approaches (you won't run these yourself, but you need to understand the output and tell the story)
• Comfort with BI tools (Tableau, Looker, or similar) as a consumer of dashboards and reports — not as a builder, but able to interpret and navigate them fluently
• Experience preparing and/or presenting Quarterly Business Reviews for enterprise clients