Lead a team that develops and markets data analytics, data management, and data publishing tools and products. Develop centralized knowledge graphs using Neo4j to accurately define data and products. Partner with Data Publishers and Product Owners in cross-disciplinary teams to improve how they publish their information. Guide the building of logical and physical data models, helping to discover, profile, acquire, process, model, and own data for these solutions. Advocate the adoption of open-sourced data processing pipelines and algorithms to help clients anticipate data needs from varied structured and unstructured data sources, including traditional relational stores, other NoSQL databases, and social media, news, internal/external documents, and emails. Assist in researching and experimenting with leading and emerging data governance and processing methodologies and technologies to facilitate advanced analytics use cases. Develop metrics and procedures for assessing, managing, and characterizing meta-data and dataset consumption. Contribute to data architecture and data management strategy design. Collaborate with the firm's Chief Data Offices and Technology Functions to develop standards and best practices. Influence key stakeholders to define tasks and guidelines for workflows and manage decisions throughout the product development lifecycle. Build and continuously update product backlog, prioritizing achievement of Objectives and Key Results (OKRs). Ensure product features and processes align with applicable industry best compliance and risk management standards.
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Job Type
Full-time
Career Level
Senior