Specialist Technical Product Management

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