Global Director, Data & AI Solutions Sales

Location: Remote in the US; office options in Austin and New York. Regular travel to customers is required.

Salary: $150,000–$220,000 gross annually in New York and the US; compensation for other locations is discussed during the interview process.

Company

hirify.global is a healthtech company building an AI intelligence layer for clinical development and helping life sciences organizations transform fragmented data into usable intelligence.

What you will do

• Build and execute the global commercial strategy for Data Services across Pharma, Biotech, and CRO customers.
• Originate, develop, and close complex strategic data opportunities and multi-stakeholder enterprise agreements.
• Engage C-level and senior stakeholders to identify data, AI, and clinical-development opportunities.
• Translate customer data landscapes and business problems into commercial engagements, business cases, and measurable outcomes.
• Partner with Product, Data, AI, Solutions, and technical teams on assessments, integrations, architectures, and implementation roadmaps.
• Develop repeatable Data Services propositions and enable regional commercial teams to identify data opportunities.

Requirements

• 5+ years of experience in life sciences technology, clinical data, data and analytics, AI, clinical development technology, or related enterprise solutions.
• Strong track record selling complex enterprise solutions into Pharma, Biotech, or CRO organizations.
• Experience personally originating and closing multi-million-dollar strategic opportunities.
• Knowledge of clinical-development data ecosystems, including clinical systems, operational data, regulatory data, or real-world data.
• Experience with data platforms, data services, analytics, AI, interoperability, or data-transformation programs.
• Ability to engage technical and business executives and navigate complex sales cycles, procurement, privacy, security, governance, and legal discussions.

Nice to have

• Experience with CTMS, EDC, eTMF, RBQM, clinical data management, regulatory data, or real-world data.
• Understanding of modern data architectures, APIs, cloud environments, data lakes, data warehouses, and semantic data models.

Culture & Benefits

• Work with clinical research professionals, data scientists, AI experts, and commercial teams.
• Global role with regular customer travel and collaboration across functions.
• Opportunity to commercialize data strategy, integration, semantic structuring, AI-ready data foundations, and data-powered intelligence.