Director Data & Analytics API Experience - Data Services

About the role

We are seeking a key stakeholder for the CMEG External Data-Analytics (DA) APIs and distribution services. This is a high-impact, individual contributor (IC) role for an individual who can navigate complex enterprise systems and deliver a modern, developer-first experience. This customer-facing role serves as the technical link between our APIs and the customer, acting as a high-level practitioner who crafts SDKs and delivery mechanisms to make complex market data easy to consume. You will translate direct customer feedback into refined requirements for the product team while solving integration hurdles firsthand. By bridging these gaps, you will ensure our technical ecosystem is both highly functional and seamless for clients to adopt. Our API First Vision Our external API is the singular point where our strategy, technology, and customer experience converge to create value. Our corporate DA strategy focuses on "activation," which involves externalizing proven internal IP and exposing it through a simple, consumable API, as well as adding net-new IP jointly developed with our customers. The API is our "single, unified distribution channel". It serves as the "handover point" where internal engineering ends and the customer or partner ecosystem begins. The API provides a "single 'front door'" for customers. By using a "unified API", barriers to consumption are removed, integration time is reduced, development costs lowered, and a consistent experience provided across all data latencies (Real-time, Recent History, and Deep History), data types (time series, metadata, unstructured) and services. Internal users are recognized as ultra-valuable sources of feedback. By mandating both internal and external DA workflows through the same SDK, we create a shared experience for both sets of users. In summary, our API is the "final product" and the "primary tool" moving CMEG up the value curve from a raw data producer to an invaluable source of insights for our customers.

Responsibilities

• The focus of the work is on activation and will be organized across four strategic pillars designed to continue to build the foundation, enhance the customer experience, and align all our public offerings.
• Developer Experience
• "North Star" Activation: Build a high-performance Python SDK that mimics the industry's best "one-line-to-insight" user experiences. Your goal is to move the user from installation to action in seconds.
• Lighthouse Deliverable: This SDK will serve as the technical and UX benchmark for how all future CMEG IP is externalized and consumed. It will be the first deliverable and form your MVP.
• Internal User Parity: The SDK must provide a 'single front door' for internal users, allowing them to 'pip install' and access BigQuery datasets through the same idiomatic Python patterns designed for customers.
• Release Open-Source SDKs: Develop and maintain a suite of SDKs in popular languages like Python and C++ to make integrating with our APIs as simple as possible.
• Public Schema Registry: Implement a publicly accessible registry (e.g., Protobuf, JSON or Avro) that allow internal teams and partners to generate their own client software.
• Developer Collateral
• Simplify Public Messaging: Partner with internal stakeholders to clearly communicate CME Group's D&A value proposition.
• Technical Documentation: Evaluate, implement and maintain an API documentation library and migrate existing fragmented solutions to it.
• Publish Reference Docs: Create first-class, detailed technical reference documentation that serves as the definitive contract for all API behaviour and usage.
• Accelerate Time-to-Value: Develop practical tutorials, code samples, and dashboard templates to empower customers to self-serve and validate products rapidly.
• Data Plane
• Expand Cloud Distribution: Work with our customers and product teams to extend our existing data offerings to meet customer cloud demand. Abstracting cloud specific technologies away and provisioning a common messaging layer.
• Abstraction Layers: Work with our customers to better understand if/how we can improve data delivery for deep history and data sharing services so that accessing large datasets feels identical to a standard, programmatic API call..
• Enforce Schema Consistency: Use a centralized schema registry to ensure identical data models and field names across diff

Benefits

Additional Information

Director Data & Analytics API Experience - Data Services Background: CME Group runs some of the world's largest and most important trading venues, including derivatives exchanges, FX/FI platforms. The trading participants include leading investment banks, hedge funds, proprietary trading firms, investment managers, and retail traders, as well as additional stakeholders such as independent software vendors (ISVs) and data redistributors. To support our unique data and analytics products, we are now building a unified API-first distribution framework, simplifying consumption and value extraction.

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