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Data Risk Management Lead - Chief Risk Office

Bloomberg

Bloomberg

New York, NY, USA
Posted on Jul 23, 2025
The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen.

Our Team

At Bloomberg, data is at the heart of everything we do — from powering the Bloomberg Terminal to delivering analytics, news, and enterprise solutions to the global financial ecosystem. While data risk management is certainly not new, this new role within our Chief Risk Office (CRO) offers the opportunity to shape the way Bloomberg continues to enhance its data governance practices and manages data risk at scale, influencing how the company adapts to a world increasingly focused on responsible data usage.

What's the Role?

The Data Risk Management Lead will be responsible for building upon the solid foundation that has been established, and formalizing into an integrated approach to identify, assess, mitigate, and report on data-related risks across Bloomberg’s platforms, products, and operations. This new leader will ensure our data governance, privacy, and quality practices align with Bloomberg’s innovation-driven culture, customer trust, and evolving global regulatory landscape.
We are looking for a critical thinker with a proven track record of leadership and delivery in a data governance and/or data risk space, with a passion for product strategy, and with relevant experience balancing risk management and delivery.

We’ll trust you to:
  • Identify data risks across the lifecycle, including data ingestion, enrichment, distribution, storage, and usage—covering both internal processes and client-facing products.
  • Contribute to and influence Bloomberg’s Data policy framework, helping shape standards for data quality, classification, and ownership.
  • Help define and operationalize risk tolerance levels for all aspects of data risk management.
  • Oversee the design and implementation of data-related controls, ensuring they are robust, scalable, and fit for Bloomberg’s complex data supply chain.
  • Lead and support risk assessments, issue remediation, and control testing for key data processes and vendor integrations
  • Collaborate with teams across Engineering, Data, Product, Legal, Compliance, and Privacy to integrate data risk thinking into day-to-day operations
  • Serve as a trusted advisor to senior leadership on data-related risk exposure and provide input into enterprise-level risk prioritization.
  • Partner across Bloomberg to strengthen data privacy, protection, and ethical use practices, including for AI-driven data applications.
  • Build out data risk dashboards, metrics, and Key Risk Indicators (KRIs) to provide visibility to management, relevant committees, and control functions.

You’ll need to have:
  • 8-10 years of experience in data risk and/or data governance, or related areas, ideally in fintech, financial services, or another data-intensive tech environment
  • Demonstrated strategic thinking with a deep understanding of data as both a business asset and a risk vector.
  • Ability to translate complex data risks into actionable insights for diverse stakeholders.
  • Proven experience building partnerships across engineering, risk, legal, and product teams.
  • Comfortable working in an agile, fast-paced environment.
  • In-depth understanding of data risk, quality, privacy, and governance frameworks.
  • Familiarity with regulatory expectations (e.g., GDPR, CCPA, BCBS 239) and how they apply to data-heavy products and services.
  • Experience collaborating across complex, matrixed organizations with strong executive presence.
  • Proficiency in risk assessment, control design, and audit readiness.
  • Excellent project management and process improvement skills.

We’d love to see:
  • Familiarity with AI model governance, third-party data risk, cloud data security, and methodology management.
  • Certifications such as CRISC, CIPP, CDMP, or CISA.
  • A proactive and self-motivated attitude