Director of Enterprise Solutions

About Opmed.ai

Opmed.ai is on a mission to revolutionize healthcare operations through AI-driven solutions. We empower hospitals and healthcare organizations to optimize planning, scheduling, and resource allocation by combining AI, network science, and optimization algorithms.

Role Overview

We are seeking a Director of Enterprise Solutions to lead the design, delivery, and success of enterprise solutions that address the operational challenges of healthcare providers. This individual will play a pivotal role in bridging business needs with technology by working closely with Sales, Customer Success, Engineering, and Product teams. The ideal candidate brings strong analytical thinking, deep experience in digital health startups, and the ability to build business cases, Statements of Work (SOWs), and pre-sale workflows.

Key Responsibilities

· Own the enterprise solutions function, ensuring alignment with Opmed.ai’s product strategy and customer needs.

· Partner with Sales to design and deliver compelling demos, proofs-of-concept, and solution presentations tailored to enterprise healthcare clients.

· Build ROI-driven business cases and models that quantify the impact of Opmed.ai’s solutions for prospective and current clients.

· Draft and manage SOWs to ensure clear scope, deliverables, and measurable outcomes.

· Work with Product, Engineering, and Customer Success to define solution requirements, deployment plans, and best practices.

· Apply strong analytical skills to assess client workflows, operational KPIs, and opportunities for optimization.

· Represent Opmed.ai at industry events, customer workshops, and executive briefings as a solutions expert.

Required Qualifications

· Over 10 years of proven experience in digital health startups (mandatory).

· Strong analytical and strategic thinking skills, with the ability to translate complex data into actionable insights.

· Track record of building business cases, SOWs, and solution frameworks for enterprise clients.

· Expertise in pre-sales workflows, demos, and client-facing engagements.

· Deep understanding of healthcare provider workflows (planning, scheduling, staffing, operations preferred).

· Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.

· Collaborative mindset and proven success working across Sales, CS, Product, and Engineering.

Preferred Qualifications

· Experience with AI/ML-driven healthcare technologies.

· Familiarity with scheduling, resource optimization, or hospital operations.

· Background in consulting, solution architecture, or enterprise sales engineering in healthcare IT.

What We Offer

· The opportunity to shape how AI transforms healthcare operations.

· A fast-paced, mission-driven startup environment.

· Collaboration with world-class engineers, data scientists, and healthcare experts.

· Competitive compensation package with equity options.