Engineering Manager, AI & Data Engineering
Business Title: Engineering Manager, AI & Data Engineering
Job Summary:
The Engineering Manager, AI & Data Engineering leads a team of data engineers and AI specialists to deliver scalable, secure, and compliant data solutions that power healthcare SaaS applications. This role drives innovation in AI/ML, data architecture, and analytics to support strategic business outcomes. The manager collaborates cross-functionally to integrate intelligent data capabilities into products and ensures alignment with healthcare compliance standards.
Key Responsibilities:
1. AI/ML Engineering & Innovation
- Proven experience designing and implementing AI/ML models for healthcare applications.
- Ability to drive innovation in predictive analytics, clinical decision support, and intelligent automation.
2. Data Architecture & Engineering
- Expertise in building robust data pipelines, data lakes, and scalable cloud-native infrastructure.
- Strong understanding of data governance, quality, and performance optimization.
3. Healthcare Compliance & Security
- Deep knowledge of HIPAA, HL7, FHIR, and other healthcare data standards.
- Ensures secure handling of sensitive health data and compliance with regulatory frameworks.
4. Leadership & Team Development
- Leads and mentors a team of engineers and AI specialists.
- Promotes a culture of technical excellence, collaboration, and continuous improvement.
5. Cross-Functional Collaboration & Strategic Execution
- Partners with product, engineering, and clinical teams to align data solutions with business goals.
- Manages multiple priorities in a fast-paced environment and communicates effectively across teams.
Required Qualifications:
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- 15+ years of experience in software/data engineering, including 5+ years in leadership roles managing cross-functional engineering teams. Minimum 5 years of hands-on experience in AI/ML and cloud-based data platform development.
Other Preferred Knowledge, Skills, Abilities or Certifications:
- Certifications in AI/ML or cloud platforms (Azure, AWS, GCP).
- Familiarity with healthcare interoperability standards (FHIR, HL7).
- Experience integrating AI into SaaS platforms.
Fortive 9 Behaviors by Level:
Influencing & Mentoring
Customer Obsessed: Champions a customer-focused culture by anticipating evolving needs and shaping solutions that deliver long-term value.
Strategic: Drives organizational impact by using data to derive insights that inform near-term and mid-range goals
Innovation for Impact: Influences innovation through demonstrating bold thinking and experimentation in own work and coaching others to do the same.
Inspiring: Demonstrates purpose-driven impact through expertise and collaboration.
Builds Extraordinary Teams: Drives impact through collaboration and influence by fostering trust, sharing expertise, and aligning efforts across teams.
Courageous: Influences and leads by example through action and integrity—moves quickly toward goals, tackles challenges head-on, and encourages open sharing of ideas without fear.
Delivers Results: Leads complex initiatives to successful completion with high standards, precision, and urgency.
Adaptable: Applies rigor and stays true to process while fostering adaptability within the team.
Lead with FBS: Embraces FBS and models lean principles by mentoring peers and influencing teams, and going to Gemba for first-hand insights.