18 results
FiltersThe Data Steward ensures accuracy, consistency, and integrity of organizational data. This role involves monitoring data quality and analyzing large datasets. Collaboration with cross-functional teams to optimize data workflows and maintain data governance standards is also required.
Mux is seeking an exceptional Director of Data & Business Systems to architect the future of data. This is a unique player-coach role for someone who loves being hands-on with data engineering and analytics while also setting strategic direction and building a high-performing team. You'll split your time between driving critical technical projects yourself and leading a small team of data professionals to transform how Mux captures, models, and leverages data across the organization.
You will work on governance topics, i.e. supporting our clients, from the data roadmap to the implementation of various data governance projects, in order to make their data reliable and valuable. As a Data Governance Consulting Consultant, you will be attached to the “Data Governance” team.
Lead the current state assessment of Client's data platform, including architecture, tooling, data governance, and data flows. Design a future-state logical architecture based on business and customer needs. Develop a multi-phase roadmap for platform modernization, including migration strategy, and stakeholder alignment. Facilitate executive and stakeholder workshops to gather input.
This role involves leadership in building and leading a healthcare data analytics team, partnering with various teams to shape a data roadmap, owning analytic datasets across different sources, building automated self-service dashboards, supporting data governance initiatives, and leveraging data to support strategic projects, requiring 8+ years of experience in healthcare data analytics and 3+ years of management experience.
Lead Change.org’s data engineering functions, building the foundation for organizational insight, scale, and reliability, ensuring that their 50+ million monthly users, thousands of campaign creators, and internal teams have trusted, high-quality, and accessible data to drive impact around the world. The role involves owning the architecture, scalability, and performance of data pipelines, storage, and access patterns.
As the Leader of our Data as a Product (DaaP) initiative within the Enterprise Analytics team, you will be a pivotal change agent in our data transformation, spearheading the shift from traditional, centralized data management to a domain-oriented, data product-based approach. This role will evangelize DaaP concepts and operationalize a federated governance framework required to treat enterprise data as discoverable, trustworthy, and reusable assets.
Drive deep business understanding and leverage data to identify critical business checks, anomalies, and define key business rules. You will play a pivotal role in bridging the gap between business needs and technical execution, working closely with ML and Data teams to translate insights into robust data solutions and define compelling project definitions. This role is crucial for enabling both internal teams and New Relic customers to gain trusted and actionable insights from data, driving strategic business outcomes.
Capture, analyze, and document business reporting and analytics requirements across multiple teams. Identify, evaluate, and catalog data sources; determine which are impacted or replaced by Oracle implementation. Design and oversee custom reporting and visualization solutions. Develop and maintain a prioritized backlog of data and reporting deliverables using Jira. Partner with IT and consultants to improve data models and establish metadata governance processes.
The Data & Analytics Manager will build and lead a data organization that transforms raw information into strategic insights and measurable business growth. This role exists to define and execute the company’s data strategy , ensuring every department—from marketing to operations—has the visibility, infrastructure, and analytics needed to make smarter decisions. Success means delivering actionable insights, scalable data systems, and a culture of data-driven excellence across the organization