Client Partner

Objective of the Role

The RWE Sales Specialist is responsible for driving growth with biopharma customers by leveraging Datavant’s portfolio of real-world evidence (RWE) solutions, analytics platforms, and AI platform and services. This role will partner closely with Client Partners across key accounts for co-selling, account planning, and evidence strategy alignment.

You will serve as a trusted advisor on the use of real-world data (RWD) and RWE to support regulatory, market access, and HEOR needs - representing the voice of the customer and ensuring that Datavant’s offerings meet evolving evidence generation requirements. The ideal candidate is comfortable leading complex, multi-stakeholder sales cycles and brings deep expertise in real-world data, evidence platforms, and outcomes research.

• Prospect & Generate Leads: Develop and execute strategic plans to identify and target new business opportunities in biopharma, healthcare, and life sciences with a focus on organizations investing in real-world evidence strategies for regulatory submissions, market access, and clinical development.
• Build Pipeline: Proactively engage prospects via outbound calls, emails, and industry networking to build a robust pipeline of opportunities related to Aetion’s evidence generation, AI, and analytics solutions.
• Close Deals: Own the full sales process - from initial outreach to contract closure - ensuring alignment between customer evidence needs and Aetion’s RWE offerings, including the Aetion Evidence Platform (AEP) and associated data and consulting services.
• Client Engagement: Present Aetion’s value proposition in RWE and RWD analytics through compelling demonstrations and business cases that highlight regulatory-grade evidence generation, comparative effectiveness, and real-world outcomes research. Engage with senior stakeholders including heads of HEOR, RWE, Market Access, and Clinical Development.
• Collaborate Cross-Functionally: Partner with marketing, product, and science teams to deliver tailored RWE solution proposals, ensuring alignment with client data strategies, evidence frameworks, and regulatory expectations (e.g., FDA, EMA guidance).
• Market Expertise: Stay current on RWE market dynamics, technology and AI, regulatory guidance for real-world data, and competitor offerings to position Aetion as a strategic leader and partner of choice in the evidence generation ecosystem.
• Forecasting & Reporting: Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence project cycles, platform usage models, and customer expansion opportunities.
• Drive Growth: Identify new and upsell opportunities across assigned territories and existing accounts, particularly in expanding RWE adoption for post-approval studies, safety monitoring, and market access support.

• Proven Track Record: 6+ years of successful sales experience, ideally in healthcare, life sciences, or SaaS; with a strong preference for experience selling RWE, HEOR, or data analytics solutions. Background in selling AI is also to be considered.
• RWE Expertise: Deep understanding of real-world data sources, evidence generation methodologies, and use cases across the product lifecycle — from clinical development to commercialization.
• Hunter Mentality: Skilled at identifying, developing, and closing new RWE-focused opportunities with top biopharma clients.
• Sales Expertise: Experience managing complex, consultative sales cycles involving scientific, commercial, and data stakeholders.
• Technology/AI Skill Sets: Proven experience, knowledge, and market understanding on real AI-driven use cases for HEOR and RWE.
• Presentation
  
  Skills:
  
  Exceptional ability to communicate scientific and technical value propositions to diverse audiences, including C-suite and RWE/HEOR leadership.
• CRM Proficiency: Experienced in CRM management for tracking RWE opportunity pipelines and forecasting revenue growth.
• Industry Knowledge: In-depth knowledge of RWE market trends, regulatory guidance, and payer evidence needs is essential.
• Collaborative Team Player: Comfortable working with cross-functional science, data,…