Senior Manager, Commercial Analytics & Business Intelligence

Description :

The Senior Manager, Commercial Analytics & Business Intelligence, is a pivotal, hands-on leader within the Commercial Operations function as DBV-Technologies prepares for its first U.S. commercial launch in Peanut Allergy. Reporting to the Head of Commercial Operations & Analytics, this individual will help design and build the commercial analytics engine from the ground up — the dashboards, data pipelines, KPIs, and insights that turn a first-launch biotech into a decision-ready organization.

In a first-launch environment, analytics is not a back-office reporting function — it is a core strategic capability. Every targeting decision, segmentation model, incentive plan, and performance review depends on trustworthy data and sharp interpretation. This role sits at the intersection of business strategy, advanced analytics, and commercial execution, serving as a key partner to Marketing, Sales Leadership, Market Access, Forecasting, Finance, and Executive Leadership.

The insights this individual produces will directly shape how the organization launches, learns, and refines its go-to-market model.

The ideal candidate pairs deep technical fluency — advanced SQL, strong Python, modern BI, and applied AI — with the business acumen and executive communication skills to influence senior stakeholders without formal authority. This is deliberately not a reporting-only profile: we are looking for a builder who is equally comfortable architecting a data model, engineering an automated pipeline, and standing in front of leadership to tell the story the numbers reveal.

Location :

Warren, New Jersey - minimum 3 days on site

Salary Range :$150-180k

• Design, build, and maintain commercial analytics, reporting, dashboards, KPIs, and performance-management processes that give leadership a real-time view of launch performance against plan.
• Develop KPI scorecards, trend analyses, and variance reporting for business performance reviews with senior leadership.
• Translate complex, multi-source analyses into clear, actionable recommendations for executive decision-making.

• Develop insights from pharmaceutical patient, prescriber, claims, specialty pharmacy, hub, and market access data sources, integrating disparate feeds into coherent business narratives.
• Build and maintain the analytical layer connecting Xponent, LAAD, claims, specialty pharmacy/hub, and payer data into usable, trustworthy assets.

• Support launch planning through HCP-level targeting, segmentation, and call-plan analytics that focus field resources where they matter most.
• Provide incentive compensation (IC) analytics and field force effectiveness measurement, quantifying the relationship between promotional activity and downstream prescribing.
• Evaluate targeting and segmentation model performance post-launch and recommend refinements based on observed results.

• Partner with Forecasting and Finance to evaluate business scenarios, performance drivers, and resource-allocation trade-offs.
• Provide analytical support that connects performance data to budget cycles, long-range planning, and executive reporting.

• Drive data governance, documentation standards, and analytical best practices so the organization’s data assets are reliable, compliant, and reusable.
• Build scalable, automated pipelines and reporting to reduce manual effort and increase speed and accuracy.

• Identify high-value AI use cases and translate them into measurable business outcomes, applying LLMs, generative and agentic AI, and automation to improve…