Senior Program Manager – AI Digital Solutions

Jobtailor; Illinois; On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor in the United States seeks an experienced AI Program Manager to lead complex, AI-driven digital initiatives across global teams, from ideation to deployment, with strong governance for regulated medical-device software.

You will partner with engineering, data science, regulatory, clinical, and quality groups to deliver scalable, cloud-first AI solutions, manage risks, and ensure timely regulatory readiness.

Qualifications

• Bachelor’s degree in computer science, engineering, data science, or a related field.
• 8+ years of experience in software and digital product development, including AI-enabled solutions.
• Proven track record delivering cloud-first and AI-powered products in regulated environments.
• Familiarity with cloud platforms (AWS, Azure, GCP), MLOps, data pipelines, edge computing, and medical device connectivity.
• Hands-on experience managing programs aligned to an AI Development Lifecycle (AI-DLC).
• Experience with subscription and recurring revenue models and AI-enabled SaaS offerings.
• Strong leadership across global teams including engineering, data science, clinical, and regulatory.

Responsibilities

• Lead day-to-day execution of complex AI-driven digital programs across global, cross-functional teams.
• Drive AI Development Lifecycle execution from concept ideation to deployment and monitoring.
• Lead tollgate execution for NPI, requisition, and sustaining programs with regulatory alignment.
• Oversee delivery of AI-enabled initiatives including PoCs, platform releases, cloud/edge deployments.
• Champion Generative AI tools across the development lifecycle from ideation to commercialization readiness.
• Collaborate with regulatory, quality, and third-party vendors to deliver compliant AI solutions.
• Define and improve AI-inclusive execution methodologies and agile practices across digital programs.
• Identify and manage AI-specific risks including data quality, bias, cybersecurity, and regulatory readiness.
• Communicate progress and risks to senior leadership and key stakeholders clearly.
• Apply data-driven insights to drive scalable, customer-focused AI solutions.

Skills

AI Development Lifecycle

cloud computing

MLOps

data pipelines

algorithm development

Generative AI

program management

software development

digital product development

regulatory compliance

Education

Bachelor’s degree in CS/Engineering/Data Science or related field

Tools

Jira

Azure DevOps

Microsoft Project

Smartsheet

AI lifecycle tooling

Job description

Responsibilities

• Lead day‑to‑day execution of complex AI‑driven digital programs, coordinating across global, cross‑functional teams including software engineering, ML engineering, regulatory, clinical, and cybersecurity.
• Drive AI Development Lifecycle (AI‑DLC) execution from concept ideation, data strategy, model development, validation, deployment, post‑market monitoring, and lifecycle optimization.
• Lead tollgate execution for NPI, requisition, and sustaining programs, ensuring alignment with customer CTQs, regulatory expectations, and AI/ML governance requirements.
• Oversee delivery of AI‑enabled initiatives, including proof‑of‑concepts, algorithm development, platform releases, cloud and edge deployments, clinical/pilot trials, and install base enhancements.
• Champion the use of Generative AI tools across the development lifecycle (ideation, requirements generation, design, coding, testing, documentation, risk analysis, and commercialization readiness).
• Collaborate with business segments, enterprise partners, regulatory and quality teams, and third‑party vendors to deliver safe, effective, explainable, and compliant AI solutions.
• Define, apply, and continuously improve AI‑inclusive execution methodologies, agile/DevOps practices, and program management standards used across digital programs.
• Identify and proactively manage AI‑specific risks, including data quality, model bias, transparency, cybersecurity, clinical validation, scalability, and regulatory readiness.
• Communicate program progress, AI maturity, risks, and critical decisions with clarity and consistency to senior leadership and key stakeholders.
• Apply strong technical and product judgment to resolve moderately complex AI, software, platform, and operational challenges.
• Use data‑driven insights, analytics, and cross‑functional inputs to drive decision‑making and recommend scalable, customer‑focused AI solutions.

Requirements

• Bachelor’s degree in computer science, Engineering, Data Science, or a related field; Master’s degree preferred.
• 8+ years of experience in software and digital product development, including program management for AI‑enabled or data‑driven solutions.
• Proven track record delivering cloud‑first and AI‑powered products from concept through commercialization in fast‑paced, regulated environments.
• Familiarity with cloud platforms (AWS, Azure, GCP), MLOps, data pipelines, mobile applications, edge computing, and medical device connectivity.
• Hands‑on experience managing programs aligned to an AI Development Lifecycle (AI‑DLC)
• Familiarity with subscription and recurring revenue business models , digital platforms, and AI‑enabled SaaS offerings.
• Demonstrated leadership and influence across global, diverse teams including engineering, data science, clinical, and regulatory stakeholders.
• Ability to manage multiple priorities, complex dependencies, and competing stakeholder needs.
• Proficiency with program and agile management tools such as Jira, Azure DevOps, Microsoft Project, Smartsheet , and AI lifecycle tooling.
• Strong analytical, problem‑solving, and decision‑making skills, with comfort leveraging data and AI insights.
• Solid understanding of PRD lifecycle, QMS, software lifecycle processes, and regulatory expectations for AI/ML.
• Experience delivering AI-enabled products in regulated environments (e.g., healthcare, medical devices) is strongly preferred, including commercialization readiness.
• Understanding of global medical device software and AI regulatory considerations, including FDA, EU MDR, and emerging AI regulations.

Hard Skills

• AI Development Lifecycle (AI‑DLC)
• cloud computing
• MLOps
• data pipelines
• algorithm development
• Generative AI
• program management
• software development
• digital product development
• regulatory compliance

Soft Skills

• leadership
• communication
• problem-solving
• decision‑making
• collaboration
• organizational skills
• influence
• risk management
• analytical skills
• adaptability