Product Manager - Data Systems

Bloomberg - New York, NY

Full-time - Mid Level

New York, NY

Broadcasting and Content Providers

About the position

Bloomberg Media is seeking a Product Manager for Data Systems & Strategy to develop impactful big data products and services that support Bloomberg.com. This role involves driving the strategy for data systems, collaborating with engineering teams, and ensuring data accuracy and security throughout its lifecycle, maximizing business value.

Responsibilities

• Define the vision, roadmap, and drive execution for data systems, partnering closely with stakeholders in engineering, product, analytics, marketing, legal/compliance, customer service, and more.
• Translate business requirements into creative, effective data solutions for the subscriptions and advertising businesses.
• Own the roadmap for user data capabilities, including new feature development of our User Data Systems, to drive data accuracy and enable value-generating use cases that leverage user data across the organization.
• Support organizational efforts toward data governance, including improvements to our data policies and roles, data quality, data privacy & security, and data access.
• Own relevant legal/compliance/data privacy projects to enhance our data privacy program and meet and exceed our commitment to user privacy.
• Clearly communicate plans, insights, data, and results to a wide spectrum of audiences.
• Democratize data through its lifecycle, ensuring data moves seamlessly and efficiently from collection to storage, to usage and activation, through internal and external platforms and systems, to better our products and measure the impact of our work.

Requirements

• Minimum 3 years' experience building big data solutions with technologies such as Google Cloud Platform/BigQuery, AWS, ETL pipelines, Airflow, Elasticsearch, Kafka, Trino to meet business, market, and user needs.
• Extreme attention to detail, with proven experience leading data migrations, data ingress/egress solutions, data privacy projects, launching new data platforms/products, enhancing data governance efforts, and enabling analytics tooling capabilities.
• A strong bias toward action, able to break down complex problems into steps that drive product development.
• Excellent people skills and an expert collaborator, ability to work effectively with both direct and indirect teams, gaining consensus and stakeholder buy-in and getting things done in a complex organization.
• Clear communication and be a data evangelist, with the ability to explain complex technical concepts to non-technical audiences and creating a feedback loop.
• Deep experience with making data-informed decisions, strong analytical and quantitative skills, with experience in data analysis including SQL or Python, and defining metrics to back up assumptions and feature concepts.
• Systems thinking, able to zoom out at the ecosystem level to assess broader business needs while being equally comfortable diving into the details and developing solutions at the granular level.
• Technical acumen, with experience contributing to architectural engineering discussions around technology decisions and strategy related to a product.
• Empathy for our users, and a high level of integrity.