IT Director, Data Services and AI Enablement

heartflowinc· Corp IT
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📍 Rohnert Park, California💰 USD 220K–270K

About this role

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.  

The IT Director, Data Services and AI Enablement provides strategic leadership and operational oversight for Heartflow’s data engineering, systems integrations and automation, and AI enablement functions. This role leads a small team responsible for data infrastructure, enterprise integrations, automated workflows, and AI-enabled solutions that support organizational effectiveness. 

This role drives the development and optimization of the enterprise data platform, delivering scalable, governed, high-quality data solutions that accelerate time-to-insight, improve reliability, and enable AI/ML and analytics through efficient, self-service access to analytics-ready data.

Data Infrastructure & Engineering

  • Lead the design, development, and management of enterprise data infrastructure platform owning the end-to-end data lifecycle, including ingestion (batch, streaming, APIs), transformation (ETL/ELT), modeling, storage, integration, and delivery of data products.
  • Oversee data pipelines, data modeling, and reporting solutions that support organizational decision-making while embedding governance, data quality, monitoring, and observability into workflows to reduce defects, latency, and operational inefficiencies.
  • Ensure data accuracy, consistency, and accessibility across systems and stakeholders.
  • Design and operationalize an enterprise semantic layer (e.g., Cube Cloud) to provide secure, context-rich, and standardized data access for AI applications and advanced analytics.

Analytics, AI Enablement, & Strategy

  • Drive the company’s 'AI-readiness' by ensuring underlying data architectures are clean, structured, and highly available for advanced machine learning and generative AI workloads.
  • Enable self-service analytics and data discoverability through tools like Tableau, semantic layers, and data catalogs while maintaining governance and data integrity.
  • Lead the evaluation and implementation of AI-enabled tools and solutions that enhance decision-making and efficiency.
  • Partner with business units to identify, evaluate, and prioritize high-value AI use cases.
  • Partner with executive leadership to align data investments with corporate and digital transformation strategies.

Integration & Automation

  • Direct the design and implementation of integrations across enterprise applications.
  • Ensure integration reliability, scalability, and alignment with enterprise architecture.
  • Lead the development of automated workflows that reduce manual processes and improve operational efficiency.

Governance & Continuous Improvements

  • Support governance for data management, system integrations, and responsible use of data and AI.
  • Establish and track key performance indicators related to data quality, adoption, and automation impact.
  • Identify and implement improvements that enhance data reliability, efficiency, and user experience.
  • Partner with stakeholders to translate business needs into data and reporting solutions.
  • Partner with vendors and evaluate technologies aligned to enterprise data strategy and architecture.
  • Drive FinOps initiatives and cost management strategies to optimize cloud infrastructure spend while maintaining high performance and scalability. 

Educational Requirements & Work Experience

  • Education: Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field. (A Master’s degree in a related field or Business Administration is highly preferred).
  • Certifications (Preferred): Relevant cloud or data architecture certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent governance certifications).

Required Experience

  • Domain Expertise: 8+ years of progressive experience in data engineering, enterprise data architecture, or systems integration.
  • Strategic Leadership: 4+ years of direct leadership experience, with a proven track record of translating complex enterprise business requirements into scalable data and analytics strategies.
  • Modern Data Stack & Migrations: Demonstrated, hands-on leadership experience directing large-scale data architecture migrations. Must have deep familiarity with AWS infrastructure, cloud data warehousing (e.g., Redshift), and orchestration tools (e.g., Dagster).
  • BI & Analytics Transformation: Proven experience managing enterprise business intelligence platforms and leading large BI migrations (e.g., transitioning from Domo to PowerBI).
  • Enterprise Integration: Strong background in designing and managing complex integrations with core enterprise applications (e.g., Salesforce, NetSuite, ADP, Master Data Management).

Technical & AI Proficiencies

  • AI Readiness & Semantic Layers: Understanding of modern semantic layers (e.g., Cube Cloud) and how to architect data governance to enable AI, machine learning, and advanced self-service analytics.
  • Data Governance: Strong framework knowledge for establishing data quality, observability, and compliance across automated workflows.
  • Industry Context (Preferred): Previous experience in MedTech, Healthcare, or Life Sciences, with an understanding of handling regulated or sensitive data ecosystems.

A reasonable estimate of the base salary compensation range is $220,000 to $270,000 per year, bonus, and equity. #LI-IB1 #LI-Hybrid

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
 
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
 
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/. 

Frequently Asked Questions

What is the salary for the IT Director, Data Services and AI Enablement role at heartflowinc?
The listed salary for this IT Director, Data Services and AI Enablement position at heartflowinc is USD 220K–270K. This is an full-time role.
Where is the IT Director, Data Services and AI Enablement position at heartflowinc located?
This IT Director, Data Services and AI Enablement role at heartflowinc is based in Rohnert Park, California. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the IT Director, Data Services and AI Enablement at heartflowinc belong to?
This IT Director, Data Services and AI Enablement position is part of the Corp IT department at heartflowinc. See the full job description for more information about the team structure and responsibilities.
How do I apply for the IT Director, Data Services and AI Enablement position at heartflowinc?
Click the "Apply Now" button on this page. You will be redirected to heartflowinc's official application portal hosted on greenhouse where you can submit your application directly.
When was the IT Director, Data Services and AI Enablement job at heartflowinc posted?
This IT Director, Data Services and AI Enablement position at heartflowinc was posted on Aug 5, 2026. Apply as soon as possible — early applications are often reviewed first.
IT Director, Data Services and AI Enablement
heartflowinc · 💰 USD 220K–270K
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