Value Engineer

PrescriberPoint

17h•Remote

About The Position

PrescriberPoint helps pharmaceutical brands reach and engage healthcare professionals through data-driven digital programs. As our first Value Engineer, you will serve as the analytical backbone of our Customer Success organization — quantifying the business impact of our platform for pharma clients from the final stages of a sale through onboarding, ongoing delivery, expansion, and renewal. This is a business strategy and analytics role, not a software engineering role. We’re looking for someone with the instincts of a management consultant and the analytical chops of a business strategist — someone who can build a compelling ROI model in Excel, translate a pharma brand’s commercial objectives into measurable levers, and hold delivery teams accountable to hitting the targets they’ve set. You’ll partner daily with Account Managers, Sales, Data & Analytics, Marketing, and Product to ensure that every client program is grounded in quantifiable value and that we can demonstrate that value clearly at every stage of the relationship. Why this matters: In a subscription business, the ability to prove — with data — that your platform delivers more value than it costs is the single most important driver of retention and growth. You will own that proof at PrescriberPoint.

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

Nice To Haves

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

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