Job Description Summary

We are seeking an experienced Senior Program Manager – AI/ML Digital Cloud Solutions to lead the end-to-end delivery of scalable, cloud-based AI/ML solutions that drive clinical and operational impact. This role will manage complex programs across data engineering, analytics, and AI/ML solution development within regulated environments such as medical devices or life sciences , patient care pathways.
The ideal candidate combines strong program management expertise with deep understanding of cloud platforms, AI/ML lifecycle, and healthcare workflows.

Job Description

Roles and Responsibilities:

Key Responsibilities

• Lead end-to-end program management of AI/ML digital solutions, from ideation through deployment and post-launch optimization

• Drive cross-functional alignment across engineering, data science, product, clinical, regulatory, and business teams

• Manage AI/ML solution lifecycle, including data ingestion, model development, validation, deployment, and monitoring

• Oversee cloud-based solution delivery on AWS, Azure, or GCP, ensuring scalability, security, and compliance

• Ensure adherence to regulated industry standards (e.g., FDA, HIPAA, GxP) for medical devices or life sciences

• Define and track program milestones, KPIs, risks, and dependencies

• Lead data engineering, analytics, and informatics initiatives to enable high-quality AI/ML outcomes

• Translate clinical workflows and care pathways into digital and AI-driven solutions

• Drive stakeholder communication, executive reporting, and governance processes

• Implement Agile/Scrum or hybrid methodologies for efficient delivery

• Identify opportunities to enhance clinical outcomes and operational efficiency using AI/ML

Education Qualification:

• Bachelor’s or Master’s degree in a STEM field (Computer Science, Engineering, Data Science, or related)

• 8+ years of experience in program/project management, with a focus on digital, cloud, or AI/ML initiatives

• Proven experience delivering AI/ML or data-driven solutions in cloud environments (AWS, Azure, or GCP)

• Strong understanding of AI/ML development lifecycle and MLOps practices

• Experience in medical device, healthcare, or life sciences regulated environments

• Experience managing complex, cross-functional programs at scale

• Familiarity with clinical workflows and care pathways

• Strong communication, stakeholder management, and leadership skills

Desired Characteristics:

• Solid background in data engineering, analytics, and informatics

• Strong understanding and knowledge of various project and portfolio management methodologies with track record of implementing shared standards for large organizations

• Strong leadership skills with ability to influence outcomes and organize teams to attain shared goals

• Excellent influencing, interpersonal and communications skills (both written and verbal) with all levels of an organization

• Self-starter - requires minimal direction to accomplish goals

• Strong track record of understanding and interest in current and emerging technologies demonstrated through training, job experience and / or industry activities

• Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources

• Experience working with others on a global basis

• Applies knowledge to coach and mentor others

• Demonstrated customer focus – evaluates decisions through the eyes of the customer, builds strong customer relationships, creates processes with customer viewpoint and partners with customers to help shape their future initiatives

• Strong analytical and strong problem solving skills -communicates in a clear and succinct manner and effectively evaluates information / data to make decisions, anticipates obstacles and develops plans to resolve, creates actionable strategies and operational plans

• Change oriented – actively generates process improvements, champions and drives change initiatives, confronts difficult circumstances in creative ways, balances multiple and competing p