The Team

The Core Product COO organization is responsible for defining and scaling the operating model that enables Core Product to execute consistently, make informed business decisions, and deliver measurable outcomes across Bloomberg's product portfolio.

What's the role?

Lead the Core Product measurement strategy, establishing the KPI frameworks, insights, and executive decision support that drive product investment, customer adoption, and business outcomes. Partner closely with Core Product business leads and Bloomberg’s Customer Insights & Analytics team to develop appropriate documentation and reporting to support Core Product leadership and product managers.

We will trust you to:

• Own Core Product KPI frameworks and product performance standards for traditional Terminal functionality and ASKB.
• Define and evolve executive reporting that enables leadership to monitor product health, user adoption, engagement and business outcomes.
• Partner with Product, Engineering and Customer Insights & Analytics to establish instrumentation requirements and ensure products are measurable from launch through maturity.
• Analyze product adoption, engagement, customer segmentation, and usage patterns to identify opportunities for growth, optimization, and investment.
• Partner with Customer Insights & Analytics to maintain backlog and prioritize reporting and analytics initiatives that support Core Product and Sales organizations.
• Define success metrics for AI-powered capabilities, including user adoption, engagement, business impact, and model performance where appropriate.
• Translate complex analyses into strategic recommendations that influence product roadmap, portfolio priorities, and executive decision-making.

You will need to have:

• +5* years in Analytics, BI, Product, Data or Business Operations.
• Strong analytical and presentation skills.
• Experience defining KPI frameworks and executive reporting.
• Experience measuring product adoption, engagement, retention, and customer success across B2B or enterprise software products.
• Experience defining and evaluating success metrics for AI-powered products and capabilities, including user adoption, business impact, and model performance.