The Role:

At CB Insights, we build products that enable the world’s leading companies and investors to make smarter technology decisions. Our system retrieves massive amounts of structured and unstructured data. We use scientific methods to extract insights from that data, which our clients use to answer their most important questions. As our new Product Manager of Data Science, you’re key to bringing that promise to life. You collaborate across teams to discover new opportunities to apply our data science expertise. You’re an expert in the drivers of our business and prioritize meaningful customer problems. And you’re supercharging a formidable R&D team with clear ownership and passion to form the future.

Responsibilities:

• Serve as product owner for our Data Science mission: prioritizing initiatives, managing the roadmap, leading agile ceremonies, and aligning goals with our overall strategy.
• Identify opportunities to use data science to serve customers and internal partners, with applications across data acquisition, data extraction, search, recommendations, classification and taxonomy, predictive algorithms, and commercial insights.
• Understand and evaluate the business value of potential new use cases. Prioritize opportunities based on customer and commercial impact.
• Mature our AI/ML product development processes, emphasizing alignment with key stakeholders and clarity of decision making.
• Drive new initiatives from ideation through development, testing, and implementation. 
• Define and monitor success criteria for each initiative and the broader mission.
• Translate the impact of technical results to non-technical stakeholders. 
• Advocate for CBI Data Science with the product and engineering organization, other departments, and the broader market. 

Key Competencies:

• At least 3 years of product management experience, and at least 5 years total professional experience in a big data environment.   
• Excellent at data analysis; highly proficient with SQL
• Prior experience in a product or analytical role connected to data science
• An understanding of artificial intelligence concepts include machine learning and natural language processing
• Deep user empathy with tools for continuous discovery
• Rigorous decision quality. Ruthlessly prioritizes opportunities for commercial value. Structured, deductive, and quantitative thinker.
• Experience defining and realizing developer and user engagement product strategies with clear metrics
• Entrepreneurial. Has shipped products from ideation through delivery while in rapid growth mode. Strong bias to execution.
• Effective and compelling communicator, proven with customers and executives
• Sought after cross-functional partner