Lead efforts to scale Webflow’s BI ecosystem — transforming how data is modeled, visualized, and activated to drive smarter decision-making across the company. You will define BI strategy, build user-centric dashboards, drive self-service adoption, and partner closely with Go-to-Market, Product and Engineering, and General and Administrative leaders to ensure reliable, insightful, and accessible reporting at scale.
The Senior Manager, Data & AI Product Management is responsible for the development, maintenance, and communication of the Data & AI Product Roadmap for the Data Intelligence department. They maintain continuity between all parts of the Data Intelligence department, as well as maintain a mutual understanding of priorities with key partners and stakeholders across the organization. This role serves as an expert in Data, Analytics, and Artificial Intelligence best practices.
Join our Data Platform team as a Senior Data Engineer, where you'll own the shared data ecosystem upon which our B2B SaaS applications are built. You'll collaborate with engineers, AI/ML scientists, and product managers to build next-gen data and AI platforms, support product migration from legacy infrastructure, and help engineering teams leverage the platforms to launch new products and build new genAI applications.
As a Data Engineer II, you'll build data pipelines, create and maintain code, and troubleshoot data quality. Collaboration with development, data science, clinical, and informatics teams is essential for building discovery suites. Responsibilities include deploying data pipeline code, executing manual data jobs, reviewing QA output, and maintaining technical documentation.
Apply technical expertise to lead agile teams as a Artificial Intelligence & Machine Learning, Senior Advisor with a Scrum Master background in working on unusually complex development challenges and provide product solutions in accordance with Agile Methodologies. You will work with architects and developers to build the basic structure of the system, defines essential core design features and elements that provide the framework.
As an Analytics Engineer II at Ophelia, you'll develop and refine our data warehouse for analytics, reporting, and research. Constructing a resilient data pipeline with a scalable data model, integrating data from various sources and surfacing this data in a BI tool will be key. You will collaborate across teams to identify data-driven opportunities, ultimately influencing company-level KPIs, clinical, and business operations.
In this role, you will use data to influence decisions, support product initiatives, and address key business needs around monitoring regulatory compliance and responding to regulatory exams in a timely manner. You will develop dashboards and reporting tools that empower stakeholders across compliance, product, and business operations teams. Your insights will guide executive decisions, track business metrics, ensure regulatory compliance, and enhance product strategies.
Your expertise will help shape the future of real estate technology. In this unique role, you'll combine your industry knowledge with a passion for communication to train AI systems to accurately interpret property listings, understand client needs, and manage real estate transactions.
The Primary focus for this Senior Engineering position will be to support SAS transition priorities. Create and or convert existing SAS code to Spark. Optimize Spark jobs performance and resource usage, identifying and addressing bottlenecks and inefficiencies in backend systems. Design, develop, and maintain high-quality backend software components and services, ensuring functionality, performance, and scalability.
Our team is growing and we’re hiring a Data Engineer to join our engineering team and enable our next phase of growth. You will work with the Platform Engineering team on designing, building and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives.