Team Leader - Annotations Operations and Governance

Details

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.

Team

The Bloomberg Data AI group brings innovative AI technologies into Bloomberg’s Data organization while contributing deep financial domain expertise to the development of AI-powered products. We partner closely with stakeholders to align AI innovation with Bloomberg’s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products.

Role overview

We are seeking a Team Lead to own and scale Bloomberg’s annotation function across AI and data initiatives, with responsibility for Annotation Operations and Annotation Standards & Governance. This role leads two tightly coupled capabilities: (1) governing canonical annotation standards and judgment frameworks, and (2) applying those standards at scale through operational execution, quality control, and continuous improvement. The Team Lead will operate annotation as a shared service across Data AI teams and ensure centrally defined standards (schemas, labels, ambiguity frameworks, calibration rules) are consistently and correctly applied in production through SME-driven workflows, vendor execution, and operational controls.

Location: Princeton
Business Area: Data

Responsibilities

• Lead and develop a team responsible for operating and governing Bloomberg’s AI data annotation capability.
• Own annotation operations end-to-end, translating schemas and judgment frameworks into scalable workflows with measurable quality.
• Establish governance and quality mechanisms, including calibration, agreement analysis, and drift detection, to ensure consistent interpretation of standards.
• Partner closely with AI, Data, and Platform teams to align annotation outputs with production needs and downstream model requirements.
• Ensure operational strength at scale, including workforce strategy, vendor oversight, capacity planning, and service reliability.
• Drive continuous improvement through metrics, feedback loops, and root-cause analysis.
• Act as steward of judgment integrity, maintaining high agreement and durable decision-making frameworks as models and domains evolve.

Requirements

• Prior people leadership experience, including leading operational or program-focused teams.
• Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment.
• Strong understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection.
• Proven experience running large-scale annotation or data operations with vendor and SME workforces.
• Ability to enforce centrally defined standards while maintaining consistency at scale.
• Excellent cross-functional leadership skills and comfort operating in ambiguity-rich environments.
• Strong program leadership capability, with a focus on measurable outcomes and continuous improvement.
• Bachelor’s or Master’s degree in a relevant field, or equivalent practical experience.

Preferred

• Experience supporting ML training, evaluation, or monitoring pipelines.
• Familiarity with annotation platforms, QA tooling, and data instrumentation.

Benefits

The posting notes a comprehensive benefits plan which may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with match, life insurance, and various wellness programs. The Company does not provide benefits directly to contingent workers/contractors and interns.