41 S&P Global Jobs

Job Description

Responsibilities and Impact:

• Collaborate with the data science team to develop and enhance document extraction solutions.
• Manage the product lifecycle from ideation to launch, ensuring alignment with business goals.
• Work closely with stakeholders to gather requirements and define product features.
• Monitor product performance and user feedback to drive continuous improvement.
• Facilitate communication between technical and non-technical teams to ensure successful project execution.
• Identify market trends and opportunities to inform product strategy.

What Were Looking For:

Basic Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in product management or a related role, preferably in a technical environment.
• Demonstrated understanding of data science concepts and document extraction technologies.
• Strong analytical and problem-solving skills with a focus on delivering results.
• Familiarity with generative AI and best practices around prompting strategies.

Additional Preferred Qualifications:

• Experience working with cross-functional teams in a fast-paced environment.
• Strong communication skills, both verbal and written.
• Previous experience in a similar role within the technology or data science industry.
• Proven project management skills, with the ability to manage multiple projects and priorities simultaneously.

The Team:

Our team is dedicated to supporting all product and business teams within the Enterprise Solutions division, helping them execute their data science initiatives. We pride ourselves on being critical thinkers, driving innovation across our product suite. As a small team, we support a wide array of stakeholders and initiatives, fostering a collaborative, inclusive, and supportive culture.