Senior Product Manager

This position encompasses a vital role within the Data Science & AI team, where the selected Product Manager will influence product strategy and vision. Here’s a breakdown of the position based on the provided overview:

Position Overview:

The Product Manager will be at the forefront of integrating innovative AI and data science solutions into the company's offerings. This individual must demonstrate a strong understanding of both business needs and technical capabilities, particularly in generative AI. The focus will be on enhancing deal team efficiencies and fostering an environment of autonomy and innovation within the team.

Key Responsibilities:

1. Strategic Leadership: Formulate the vision and strategy for leveraging AI and data science in product offerings.

1. Stakeholder Collaboration: Work collaboratively with deal teams and technical teams to accurately identify user needs and define a compelling product vision.

1. Product Lifecycle Management: Oversee all stages of product development from conception to launch, employing market research and user testing to refine approaches.

1. Alignment with Strategic Goals: Ensure that products are consistent with industry trends and organizational goals, emphasizing data-driven decision-making.

1. Culture of Innovation: Promote a mindset of experimentation and innovation, exploring new technologies to continually enhance product offerings.

1. Effective Communication: Bridge gaps between technical and non-technical stakeholders, ensuring a shared understanding and alignment on product initiatives.

Qualifications:

• Experience: A minimum of 5 years in a product management role, especially in AI or data science domains.

• Educational Background: A bachelor’s degree in relevant fields such as Product Design, Engineering, Computer Science, or Data Science.

• Technical Proficiency: A strong grasp of generative AI technologies and their business applications.

• Analytical Skills: Excellent problem-solving and strategic thinking abilities.

• Methodological Knowledge: Familiarity with Agile practices and methodologies.

• Leadership Experience: Proven success in managing cross-functional teams and leading diverse projects.

• Industry Insight: Previous experience in financial services, consultancy, or private equity is advantageous.

This role is ideal for a candidate who thrives in a dynamic environment and is eager to shape the future of product development in the AI and data science landscape.