Key Responsibilities:
- Work with stakeholders to align AI/ML product initiatives with the organizations strategic goals, ensuring that product development efforts meet business objectives.
- Manage AI/ML product projects from initiation to completion, including scope definition, timelines, resources, and risk management to ensure successful delivery.
- Coordinate between data scientists, engineers, business stakeholders, and external partners to ensure alignment and smooth execution of AI/ML projects.
- Oversee the entire AI/ML product lifecycle, from ideation, development, and model deployment to post-launch monitoring and optimization.
- Establish key performance indicators (KPIs) to track AI/ML project progress and outcomes; provide regular updates to leadership on status, risks, and achievements.
- Manage AI/ML project resources effectively, ensuring the right skills and tools are available to support project milestones, including staffing, budget allocation, and technology selection.
- Identify potential risks and issues related to AI/ML projects, mitigate them proactively, and create contingency plans to handle unforeseen challenges.
- Ensure clear and consistent communication with internal and external stakeholders, including detailed documentation of project requirements, progress, and outcomes.
Minimum Qualifications:
- Bachelor s degree with 5+ years industry experience or Master s degree with 4+ years industry experience
- Proficiency in Product / Portfolio management, project management tools (e.g., Jira, Asana, Trello) and methodologies (Agile, Scrum, Waterfall).
- Excellent multitasking skills, with the ability to prioritize tasks and manage competing deadlines.
- Strong communication and interpersonal skills, with the ability to engage effectively with technical and non-technical stakeholders.
- Relevant certifications (e.g., PMP, Agile Certified Practitioner) are a plus.
- Program Management
- Knowledge of Data Science and Analytics
- Knowledge of Software Development
- Testing
- Software Development Lifecycle (SDLC)
Preferred Qualifications:
- Advanced degree in STEM (MS, MBA)
- Knowledge of statistics, data science and machine learning & commercial pharma
- Experience of supporting End to End Project Management
