Engineering Manager – AI & Data Engineering

Fortive

Engineering Manager leading a team for AI and data engineering to drive healthcare SaaS innovations. Ensuring compliance and delivering secure data solutions with cross-functional collaboration.

Posted 7/9/2026full-timeBengaluru • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in leading data engineering and AI teams to develop scalable healthcare SaaS solutions, with a strong focus on AI/ML integration and compliance with healthcare standards.

Highest-signal resume keywords

Data Engineering LeadershipAI/ML IntegrationCloud-Based Data Platform DevelopmentHealthcare Compliance StandardsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureAI/ML DevelopmentSoftware EngineeringCloud PlatformsSaaS Development

Soft Skills

Team LeadershipInnovation DrivingCollaboration

Tools & Technologies

AzureAWSGCP

Certifications & Qualifications

AI/ML CertificationCloud Platform Certification

Industry Keywords

Healthcare SaaSFHIRHL7Interoperability Standards

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Leads a team of data engineers and AI specialists to deliver scalable, secure, and compliant data solutions that power healthcare SaaS applications.
Drives innovation in AI/ML, data architecture, and analytics to support strategic business outcomes.
Collaborates cross-functionally to integrate intelligent data capabilities into products.
Ensures alignment with healthcare compliance standards.

Requirements

What you’ll need

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.
Certifications in AI/ML or cloud platforms (Azure, AWS, GCP).
Familiarity with healthcare interoperability standards (FHIR, HL7).
Experience integrating AI into SaaS platforms.

Benefits

Comp & perks

AI/ML certifications
Cloud platform certifications (Azure, AWS, GCP)