Senior Manager, AI & Data Engineering

Job Summary: 

The Senior Manager, AI & Data Engineering leads a team of data engineers, data scientists 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. This senior leader also partners with others leaders in the organization to push AI First transformation within the organization and will have Gen-AI engineers part of this team- to accelerate this transformation.

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.
• 17+ years of experience in software/data engineering, including 7+ 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.