Product Manager – Data Science & AI
| Company | Bain Capital |
|---|---|
| Location | Boston, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- 5+ years of proven success in a dynamic product management role, preferably with experience in developing AI or data science related products.
- Bachelor’s degree (or equivalent) in Product Design, Engineering, Computer Science, Data Science, or a related field.
- Strong understanding of Generative AI technologies and their application in a business context.
- Excellent problem-solving skills and the ability to think strategically and analytically.
- Familiarity with Agile development methodologies
- Experience in managing cross-functional teams and leading product development projects.
- Exceptional communication and leadership skills, with a track record of driving product vision and delivering results.
Responsibilities
- Lead the vision, development, and strategy of products, focusing on leveraging Generative AI and other market-leading methods in data science, machine learning, analytics and AI.
- Work closely with deal teams, and technical teams, to identify user needs, define product vision, and implement solutions iteratively that drive value creation, operational efficiencies and user delight.
- Manage the product lifecycle from conception through launch, including market research, roadmap development, team ceremony facilitation, user testing, and stakeholder engagement.
- Ensure products align with industry trends and the strategic goals of Bain Capital, prioritizing features and functionalities that support data-driven decision-making.
- Foster a culture of innovation within the team, encouraging experimentation and the exploration of new technologies and methodologies.
- Communicate effectively with both technical and non-technical stakeholders to ensure alignment and buy-in across the organization.
- Work closely with deal teams and help them test and evaluate new AI tools, document user insights, and work with the learning team to disseminate best practices of using AI tools across the business.
Preferred Qualifications
- Prior experience in financial services, consulting, or private equity is highly desirable.