Senior Manager, AI & Data Engineering

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

• Bachelors or Masters 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-focusedculture 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 integritymoves 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 FBSand models lean principles by mentoring peers and influencing teams and going to Gembafor first-hand insights.