Team Leader - Data Engineering (Shared Infrastructure)

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.

The Data AI group brings innovative AI technologies into the 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. Our work amplifies impact by delivering intelligent data solutions and domain-informed systems that enhance the capabilities and competitiveness of Bloomberg’s offerings.

We are seeking a Team Leader to drive our Shared Infrastructure programs within Data. This role is central to enabling scalable and responsible data workflows by leading a team passionate about reusable infrastructure, integration patterns, and operational standards across the organization. You will partner closely with Engineering, Product, and Data teams to identify high-impact opportunities, define and implement reusable solutions, and enable consistent, efficient workflows across a distributed set of teams. This includes crafting how capabilities such as automated evaluation and LLM-enabled annotation are adopted and integrated into production workflows, in close collaboration with partner teams who own underlying platforms.

The ideal candidate is a thoughtful and pragmatic leader who combines deep technical fluency with a systems-oriented approach and an interest in emerging data and LLM-based workflows. You are able to translate sophisticated, evolving needs into clear, reusable approaches and scalable patterns, and you are comfortable operating in environments where ownership is distributed across teams. You bring experience contributing to and scaling shared data systems or frameworks, with exposure to evaluation workflows and LLM-enabled pipelines, and a clear perspective on how these capabilities should be integrated into production environments. You excel at identifying patterns across disparate team needs and translating them into well-defined requirements, reusable solutions, and adoption strategies. You are effective at driving alignment and securing partner consensus, particularly in ambiguous environments where success depends on influence rather than direct ownership. You have a track record of building communities of practice and guiding teams toward consistent, scalable approaches without relying on formal authority.

We'll Trust You To:

• Lead and develop a central team responsible for defining and delivering shared data infrastructure and reusable workflow patterns that improve consistency and efficiency across teams.
• Provide technical and strategic leadership, translating diverse team needs into clear requirements, scalable solutions, and well-defined approaches to data workflows, automated evaluation, and efficient annotation.
• Partner closely with Engineering, Product, and Data leaders to identify high-impact opportunities for shared capabilities, align on priorities, and ensure solutions can be optimally put into production within technical, compliance, and cost constraints.
• Act as a central point of coordination for cross-team needs, identifying common gaps, reducing duplication, and enabling consistent approaches without becoming a bottleneck or enforcement layer.
• Ensure shared components, frameworks, and patterns are well-designed, well-documented, and broadly adopted, with a focus on usability, scalability, and real-world impact.
• Mentor and develop data engineers, encouraging a culture of pragmatism, strong technical judgment, and a focus on building solutions that are both scalable and widely usable.

You'll Need to Have:

• Prior people leadership experience, ideally guiding teams working on technical, data, or infrastructure-related problems in multi-functional environments.
• Strong technical judgment in data engineering and shared systems design, with the ability to engage credibly with engineering partners on architecture, trade-offs, and scalable solutions.
• Experience designing and scaling shared frameworks, systems, or platform-like capabilities across multiple teams.
• Proven ability to operate in ambiguous, high-judgment environments, translating diverse needs into clear requirements and practical, scalable solutions.
• Proven track record of driving alignment and influencing partners across engineering, product, and data teams without direct authority.
• Strong analytical and decision-making skills, with a track record of delivering clear, well-reasoned, and impactful solutions.

We'd Love to See:

• Experience with LLM-enabled workflows or annotation pipelines.
• Familiarity with evaluation or data quality frameworks.
• Exposure to regulated or cost-constrained environments.
• Experience partnering with engineering to scale prototypes into production.
• Background in platform, infrastructure, or centralized enablement teams.
• Experience contributing to communities of practice or developer enablement efforts.

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

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