Product, data, and AI executive

Christopher Petrino

Product, data, and AI executive—and hands-on product builder.

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Executive summary

Christopher Petrino

Christopher Petrino

Christopher Petrino is a product, data, and AI executive and hands-on product builder.

Christopher Petrino has more than 15 years of leadership experience across healthcare, SaaS, and enterprise technology. Through Bato Labs, he also remains directly involved in defining, building, launching, and operating software products.

  • Enterprise leadership · Embedded operating roles · Technical and product diligence · Current hands-on product execution
  • Christopher is selectively open to fractional and interim operating mandates, executive and board roles, technical and product diligence, consequential advisory work, selective product builds, and founding opportunities with meaningful ownership.
  • Bato Labs work includes embedded operating leadership, independent assessment, AI and data strategy, technical diligence, and live products.

Current Bato Labs work

The operating practice and lab stay connected.

Principal-led operating practice

Bato Labs helps founders, executives, and investors make and carry through consequential product and technology decisions through embedded leadership, independent assessment, and selective hands-on execution.

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Selected product and operating evidence

Enterprise history and product execution support different claims.

Careforth

Founded the data function from zero, built an analytics platform for a caregiver platform serving thousands of families, and reduced time-to-insight by 60%.

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IntusCare

Led two engineering squads and the architecture, QA, and support functions across IntusCare's data and AI platform.

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Sailthru

Reduced customer-impacting incidents by 80% through engineering-process controls, release discipline, and quality infrastructure.

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Career chronology

Career chronology.

Christopher's experience spans enterprise data and technology leadership, regulated AI delivery, SaaS, and hands-on product development through Bato Labs.

Bato Labs — Founder

June 2017 to present
Mandate
Leads a principal-led product, data, and AI operating practice serving founders, executives, and investors.
Selected scope
Embedded operating leadership, independent assessment, AI and data strategy, technical diligence, and current hands-on product execution.
Selected results
Designed, built, released, and operates Whimsy, Hum, Firstline, and Morrow.

IntusCare — Vice President of Data Engineering

May 2025 to July 2026
Mandate
Reported to the CTO and led data-engineering and data-platform work across AI-powered risk adjustment, client data products, population-health analytics, and clinical/EMR integration.
Selected scope
Led two engineering squads and the architecture, QA, and support functions across IntusCare's data and AI platform. Owned platform strategy across AI-powered risk adjustment, client data products, population-health analytics, and clinical integrations. Managed annual cloud, data, and AI vendor spend and make-versus-buy decisions.
Selected results
Reduced average PR cycle time from approximately 7.0 to 5.3 hours, increased a per-engineer velocity measure by approximately 55%, and increased PR throughput by approximately 18% through improved delivery standards and release discipline. Replaced an external vendor capability with an in-house LLM/NLP pipeline and established reusable patterns for regulated AI delivery.

Careforth / Seniorlink — Head of Data

May 2019 to April 2025
Mandate
Founded the data function from inception and set data strategy across commercial, clinical, product, operational, and executive priorities.
Selected scope
Hired and led engineering, analytics, and visualization teams across domestic and international locations. Architected an AWS analytics platform supporting product analytics, operations, and clinical-outcomes reporting for a caregiver platform serving thousands of families.
Selected results
Reduced time-to-insight by 60% through automated governed pipelines and embedded analytics partnerships. Moved teams from ad hoc data pulls toward repeatable decision support and drove VP-level adoption of AI and multi-agent tools across product, operations, and clinical functions.

Sailthru — Manager, Engineering Process

March 2016 to May 2017
Mandate
Led engineering process, change-management, release-discipline, and quality work for a consumer-technology and marketing-automation platform.
Selected scope
Owned change management for AI-powered recommendation systems supporting consumer personalization at scale.
Selected results
Reduced customer-impacting incidents by 80% by building engineering-process controls, release discipline, and quality infrastructure.

Dotavoyance — Founder; Vice President of Data & Engineering

November 2018 to May 2019
Mandate
Built a prediction and analytics platform and led data, engineering, and product execution.
Selected scope
Full-stack engineering, data science, deep learning, data warehousing, Spark, AWS S3, and Postgres.
Selected results
Created a working product and technical platform in an early-stage company setting.

Roadmunk — Head of Data

January 2018 to October 2018
Mandate
Defined and executed AI and data strategy, developed data-platform capability, and partnered with business leaders on KPIs and analytics.
Selected scope
Data strategy, analytics, data platform, AI/data initiatives, and engineering mentorship.
Selected results
Improved the operating visibility available to product and business leaders.

Earlier career

Earlier technical and product leadership.

Cliqy / uncorkmeapp.com — Engineering Manager and Founder — June 2017 to January 2018

Designed and launched a social iOS product and led early product and engineering execution in a founder-led consumer product context.

Yesware — Lead Data Engineer; Lead Machine Learning Engineer — July 2013 to 2014

Built data-science and machine-learning capabilities that unified application usage, CRM data, and integration signals into a consolidated business-intelligence view.

Raytheon — Lead Data Engineer, Machine Learning and Data Science; Senior Systems Engineer — May 2005 to July 2013

Led analytics, statistical modeling, machine-learning, and data-pipeline work supporting business intelligence and product decision-making in a complex, high-accountability environment.

Leadership and operating principles

Judgment stays connected to ownership.

  • Clarify the consequential decision before expanding the work.
  • Match Christopher's involvement to the level of responsibility required.
  • Keep evidence, ownership, and execution connected.
  • Keep current product work and enterprise operating judgment connected.

Current opportunity posture

Selective mandates where responsibility matters.

Christopher is selectively open to fractional and interim operating mandates, executive and board roles, technical and product diligence, consequential advisory work, selective product builds, and founding opportunities with meaningful ownership.

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External profiles

Elsewhere.

LinkedInGitHub
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