Sales Manager - Healthcare AI & Data Analytics (Clinical Background Preferred)

About Us

We are a fast-growing healthcare IT startup specializing in data analytics, AI platform design, and digital transformation services. We help healthcare providers, insurers, and life sciences organizations unlock the power of data to improve clinical outcomes, operational efficiency, and patient experiences.

Our solutions span:

• AI-powered clinical decision support
• Data platforms & interoperability
• Healthcare analytics & insights
• Custom AI/ML solution design and implementation

Role Overview

We are looking for a Sales Manager with a clinical background (e.g., nursing) and strong technology acumen to bridge the gap between healthcare operations and advanced digital solutions.

This is a unique hybrid role combining:

• Clinical domain expertise
• Consultative enterprise sales
• Technology solutioning (AI & analytics)

You will play a critical role in helping healthcare organizations adopt data-driven and AI-enabled transformation initiatives.

Key Responsibilities

1. Business Development & Sales

Identify and close new opportunities across:

• Public and private hospitals
• Specialist clinics and healthcare groups
• Government and public health agencies

Sell:

• AI-enabled clinical and operational solutions
• Data analytics platforms and services
• Custom-built AI and interoperability solutions

Own end-to-end sales cycle:

• Lead generation → discovery → solutioning → proposal → closure

2. Clinical + Technical Solution Selling

Translate clinical workflows, pain points, and patient care challenges into:

• Data-driven insights
• AI-based solutions

Lead conversations with:

• Nursing leaders, clinicians, and administrators
• CIOs, CMIOs, Chief Data Officers

Support demos, use-case design, and value articulation (ROI, outcomes, efficiency)

3. Client Relationship Management

• Build trust with healthcare stakeholders by leveraging clinical experience
• Act as a trusted advisor on digital and AI transformation
• Identify expansion opportunities within existing accounts

4. Market Development

Stay current on:

• Healthcare digitalization trends in Singapore (MOH initiatives, Healthier SG, etc.)
• AI adoption in clinical workflows
• Data privacy and compliance (PDPA)

Represent the company at healthcare and healthtech events

5. Cross-functional Collaboration

Work with:

• Data scientists
• AI engineers
• Product and delivery teams

Help shape solutions that balance:

• Clinical relevance
• Technical feasibility
• Business value

Requirements

Experience

• 2–5 years of clinical experience (Registered Nurse or equivalent)
• 1-3 years in sales, pre-sales, or healthcare IT / digital health roles
• Experience in healthcare IT, SaaS, analytics, or digital transformation preferred

Core Skills

Strong understanding of:

• Clinical workflows and patient care processes
• Healthcare IT systems (EMR/EHR familiarity preferred)

Exposure to:

• Data analytics, dashboards, or BI tools
• AI/ML use cases in healthcare (training can be provided)

Ability to:

• Translate clinical needs into technology solutions
• Communicate effectively with both clinicians and IT stakeholders

Personal Attributes

• Strong consultative selling and relationship-building skills
• Entrepreneurial mindset—comfortable in a startup environment
• High learning agility (especially in AI and emerging tech)
• Passion for improving healthcare outcomes through innovation

Preferred

Prior experience in:

• Healthcare consulting or digital health startups
• AI/analytics solutions in healthcare

Existing network within Singapore healthcare ecosystem

Exposure to cloud platforms (AWS, Azure, GCP)

Education

• Degree in Nursing, Healthcare, Life Sciences, or related field
• Additional certification or coursework in IT, analytics, or digital health is a plus

What We Offer

• Unique opportunity to transition from clinical care to tech-driven healthcare innovation
• Hands-on exposure to AI and data platform solutions
• Competitive salary + commission (OTE-based structure)
• Equity/ESOP participation
• Fast-paced, high-growth startup environment