Product Manager - Data License+ (DL+)

About the Role

Join Bloomberg Enterprise Data as a Product Manager to lead the development and enhancement of Data License+ (DL+), Bloomberg's innovative next-generation Data License platform. This role requires partnering with Engineering, Sales, Product Specialists, Operations, and clients to translate complex market needs into an effective product roadmap focused on delivering valuable data services. You will oversee a specific area of DL+, steering the strategic vision, tackling critical client challenges, and translating ambitions into measurable business outcomes.

Responsibilities

• Take full ownership of the strategic direction, target outcomes, and priority setting for a defined portion of the DL+ platform.
• Gain comprehensive insight into client data workflows, industry dynamics, and competitor offerings to pinpoint vital challenges worth solving.
• Develop deep knowledge of the DL+ platform’s components and their interdependencies, assessing how new data content and features impact user experience.
• Lead the product lifecycle end-to-end, including discovery, product design, refinement, execution, go-to-market planning, and ongoing product viability assessments.
• Translate qualitative and quantitative research into clear product requirements and a compelling narrative that addresses user needs.
• Collaborate closely with Engineering to develop feasible solutions and ensure timely delivery aligned with shared goals and key results.
• Coordinate with Commercial teams and other stakeholders to prepare for successful launches and user adoption.
• Establish feedback mechanisms to evaluate adoption, client satisfaction, and product success, continuously informing future efforts.
• Maintain transparent communication across multiple teams, sharing strategies, progress, risks, and next steps with senior leadership.
• Enhance product management processes to improve accountability, decision-making, and delivery within the team.
• Promote a culture emphasizing excellence, responsibility, continuous learning, and outcome-driven focus.

Requirements

• Solid product management or business experience, preferably within financial services, enterprise data, FinTech, or complex B2B technology environments.
• Proven capability in defining objectives, setting priorities, establishing key results, and evaluating success.
• Strong analytical aptitude to dissect complex challenges, identify customer pain points, validate opportunities, and make evidence-based decisions.
• Experience collaborating with Engineering to build and deliver sophisticated platforms and products.
• Technical proficiency to engage in discussions about data and platform technologies; familiarity with SQL, Python, APIs, and cloud platforms is advantageous.
• Exceptional communication and stakeholder engagement skills, capable of clearly explaining intricate subjects and influencing a wide range of teams.
• Sound judgment in managing competing priorities, making deliberate trade-offs, and focusing efforts on the most impactful outcomes.

Preferred Qualifications

• Understanding of securities markets and the trading lifecycle, spanning front-, middle-, and back-office functions.
• Knowledge of asset classes such as equities, fixed income, derivatives, indices, and mortgages, including their attributes and life cycles.
• Familiarity with financial data types, including reference, pricing, foreign exchange, entity, research, and OTC data.
• Experience in financial services data modeling or platform development.
• Background in designing enterprise data products, managed services, or platform solutions.
• Interest in client engagement, understanding workflows, implementation challenges, and collaborating with a global sales force.
• Ability to develop perspectives on enterprise data evolution and translate those into product opportunities.
• Passion for creating solutions that address intricate client problems at scale.

Additional Information

If you fit this profile, we invite you to apply. We welcome candidates of varied experience levels who can demonstrate the necessary skills. Experience duration stated serves as a guideline, not a strict requirement.