Dermsquared

Manager

• Own the enterprise software portfolio: Maintain an audited inventory of software and licenses, manage renewals and vendor relationships, partner with Finance on the software budget, and eliminate waste.
• Lead tool consolidation and governance: Rationalize overlapping tools, set clear standards for which platforms own which workflows, and drive adoption. Monday.com is our work OS of record — consolidating onto it and integrating with Linear, Salesforce, and Slack is a near-term priority. Handoffs should be automatic, not manual.
• Project-manage software implementations: Own end-to-end delivery of new rollouts — cross-functional coordination, planning, vendor management, and adoption. Several high-priority implementations with hard deadlines land in your first six months.
• Lead an operational efficiency audit: Interview every team lead to map repetitive workflows (trigger, steps, owner, time, frequency), score impact vs. complexity, and deliver a ranked agent opportunity register to the CTDO. Primary deliverable in your first 90 days.
• Ensure IT operations reliability: Oversee day-to-day IT — devices, access, onboarding/offboarding, security — in partnership with our MSP.
• Monitor adoption and compliance: Track tool usage, flag under-utilized investments, drive corrective action, and surface optimization opportunities to the CTDO.
• Be the technology partner for the business: Go-to for department leads on tool evaluations, implementations, and IT issues; represent Technology in cross-functional planning.

IT Manager – Enterprise Systems

Data Scientist

• Shape the data science roadmap: Identify measurement, audience, and AI capabilities that create value in each specialty market, and build a function that scales with the business.
• Build causal lift measurement: Own the framework that demonstrates how HCP engagement drives real-world prescribing change — matched and synthetic controls, lookalike populations, methodologies defensible to pharmaceutical medical affairs and legal, and repeatable across therapeutic areas.
• Build decisioning and personalization systems: Develop next-best-action, recommendation, and audience intelligence models that personalize the HCP experience and identify high-value audiences for sponsor targeting at scale.
• Apply LLMs and generative AI across the workflow: Use them for structured extraction, feature engineering, insight generation, and HCP profile enrichment — wherever they cut time-to-insight without compromising rigor.
• Translate findings into commercial products: Turn model outputs into sponsor-facing measurement reports, audience intelligence packages, and ROI dashboards, and present methodology directly to pharmaceutical medical affairs and commercial teams.
• Own the ML platform layer: Feature engineering, experiment tracking, model registry, A/B and holdout frameworks, and production monitoring on the company's cloud and data warehouse stack.

Lead Data Scientist

Data Engineer

• Design, build, and maintain ETL and reverse-ETL pipelines connecting our MarTech and healthcare data stack — CRM, marketing automation, event management, content platforms, and third-party healthcare data — into the cloud data warehouse.
• Own the cloud data warehouse and its transformation layer — staging, business logic, and mart tables — keeping data clean, documented, and performant for analytics and data science.
• Integrate specialty healthcare datasets — pharmaceutical claims and HCP intelligence — with our first-party engagement data, building the joins and transformations that make them actionable for commercial measurement and clinical personalization.
• Define and enforce engineering best practices — code standards, testing, documentation, schema governance, and data dictionary — so analytics and data science can move fast without breaking things.
• Monitor, troubleshoot, and optimize pipeline performance, resolving data quality and availability issues before they block analytics.
• Stay current with the modern data stack and introduce new tools — connectors, transformation frameworks, orchestration, or ML compute — as we scale.
• Partner with analytics, data science, product, and commercial teams to turn business requirements into reliable, scalable solutions — making data accessible, never the bottleneck.

Principal Data Engineer

Performance Marketing

• Develop and execute comprehensive marketing plans for each initiative, encompassing audience segmentation, messaging strategy, channel mix, timeline, and budget allocation.
• Define performance targets (e.g., traffic, leads, learners, completers, or registrations, depending on the initiative) in partnership with leadership and build campaign roadmaps designed to achieve or exceed those goals.
• Conduct competitive and market analysis to identify positioning opportunities and refine promotional strategies.
• Analyze past campaign performance data (including pacing curves, conversion rates by channel, lifecycle stage patterns, and audience demographics) to identify trends and inform marketing strategies.
• Build predictive performance models for each initiative based on historical benchmarks, providing data-backed inputs into marketing plans including projected performance timelines and channel contribution forecasts.
• Establish and maintain pacing benchmarking frameworks that enable comparison across initiatives and performance over time.
• Own a yield management approach to campaign performance: understand and map the full set of promotional levers available (pricing or enrollment incentives, discount or promo codes, flash promotions, content or speaker announcements, partner activations, retargeting, extended deadlines, SEO/SEM adjustments) and their historical effectiveness.
• Own the strategy and performance across all promotional channels: email marketing, social media, paid digital advertising, website/landing page optimization, and influencer programs.
• Serve as the single point of ownership for the initiative's primary performance KPI (e.g., website traffic, completers, registrations).

Performance Marketing Lead – HCP Engagement

Director

• Drive revenue growth by identifying opportunities for upselling and cross-selling additional products or services to deliver sales targets. Ensure a high level of client satisfaction and engagement to retain accounts and foster long-term relationships
• Collaborate with internal teams to develop and propose customized solutions that address client pain points, enhance operational efficiency, and drive growth
• Lead and coordinate the delivery of solutions, ensuring projects are executed on time, within budget, and to the client's satisfaction
• Partner with the Solutions team to develop and implement joint business plans to drive growth and retention for each client. Regularly review account performance, identify areas for improvement, and proactively address challenges
• Lead the development and execution of data analysis and reporting strategies for strategic accounts
• Analyze customer data to identify opportunities for revenue growth, retention, and improved satisfaction for strategic accounts

IT Manager – Enterprise Systems

Lead Data Scientist

Principal Data Engineer

Performance Marketing Lead – HCP Engagement

Strategic Accounts Solutions Director – Dermatology