Business Title: Senior Manager, AI & Data Engineering

Job Title: Software Engineering M18

Job Summary: 

The Senior 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.