Our client is an AI-driven healthcare technology company transforming cardiovascular care through innovative AI solutions.

We are looking for an experienced Technical Program Manager to lead complex cross-functional programs supporting the development of AI-powered healthcare products in a highly regulated environment.

Key Responsibilities :

- Lead end-to-end delivery of multiple technical programs from planning through successful execution.

- Drive cross-functional collaboration across Engineering, Product, Clinical, Data Science, Regulatory, Quality, and Business teams.

- Serve as the primary point of contact (SPOC) for internal and external stakeholders, ensuring clear communication and timely program updates.

- Develop and manage project plans, timelines, milestones, risks, dependencies, and deliverables.

- Coordinate with engineering teams to understand product architecture and ensure smooth execution of technical initiatives.

- Ensure project documentation complies with regulatory and quality standards, including Good Documentation Practices (GDP).

- Track program progress using Agile methodologies and project management tools such as JIRA and Confluence.

- Identify risks, resolve escalations, and proactively drive issue resolution.

- Prepare executive dashboards, status reports, roadmaps, and presentations for leadership.

- Mentor project teams and foster a collaborative, high-performance culture.

Required Skills :

- 5+ years of experience in the IT industry with at least 2 years in Technical Program or Project Management.

- Proven experience managing multiple cross-functional technical programs simultaneously.

- Strong stakeholder management and client-facing communication skills.

- Experience working in Agile environments using JIRA and Confluence.

- Good understanding of software development lifecycle (SDLC), product architecture, and technical delivery.

- Strong planning, problem-solving, risk management, and leadership capabilities.

Mandatory Experience (Any of these) :

- Healthcare Technology (HealthTech)

- Medical Devices

- Life Sciences

- Clinical Software / Digital Health

- Regulated Product Development Environment

- Candidates without exposure to regulated healthcare or medical device programs are unlikely to be a fit.

Preferred Qualifications :

- Experience managing AI, Machine Learning, Data Engineering, or Analytics programs.

- Knowledge of Good Documentation Practices (GDP), medical device quality processes, and external audits.

- Exposure to Design History Files (DHF), FDA-regulated products, or Software as a Medical Device (SaMD).

- PMP certification or familiarity with PMBOK methodologies.

- Technical exposure to Python/R or NoSQL technologies is an added advantage.

Education :

- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.

- A Master's degree is a plus.