June 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. The Terminal Flight Data Management (TFDM) program is a Federal Aviation Administration’s (FAA) NextGen program based on airport surface management that provides efficiency for both the airport surface and terminal airspace by providing a new and comprehensive integrated surface traffic control and management system.
p>The Terminal Flight Data Management (TFDM) program is a Federal Aviation Administration’s (FAA) NextGen program based on airport surface management that provides efficiencies for both the airport surface and terminal airspace by providing a new and comprehensive integrated surface traffic control and management system. May 29, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
p>The Terminal Flight Data Management (TFDM) program is a Federal Aviation Administration’s (FAA) NextGen program based on airport surface management that provides efficiencies for both the airport surface and terminal airspace by providing a new and comprehensive integrated surface traffic control and management system. May 29, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Minneapolis, MN30+ days ago
Must demonstrate knowledge of the principles of growth and development over the life span and possess the ability to assess data reflective of the patient's status and interpret the appropriate information needed to identify each patient's requirements relative to his/her age-specific needs, and to provide the care needed as described in the department's policies and procedures. Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more - so you can live fully at and away from work, including: Compensation .
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Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career.
Minneapolis, MN4 days ago
You will develop and deliver post-campaign measurement reports, build and activate audience segments, support advertiser pitches with data-driven insights, and maintain the reporting infrastructure and cadences that keep clients informed and confident. You will work closely with the Product, Engineering, and Data leaders to execute against the measurement and data product strategy and partner with Go to Market and Client teams to translate client business questions into analytical frameworks.
li>Data Governance & Compliance Support • Support execution of AI data management practices including: • Data control planning • Data segregation between training, holdout, and testing datasets • Data preparation and inclusion criteria • Data traceability and usage documentation • Ensure datasets are properly documented and traceable to their original sources to support audits and regulatory submissions. This role works closely with AI/ML engineers to define data needs for AI features, coordinates with internal and external data collection teams/clinical team, oversees annotation activities, and ensures data readiness, traceability, and compliance throughout the AI development lifecycle.
Minneapolis, MN30+ days ago
The Government Healthcare Data Manager will serve as a data team leader, working directly with actuarial, financial and data analysts, clinicians and health policy consultants, on large, complex projects. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law.
Minneapolis, Minnesota6 days ago
Responsibilities include guiding the design, development, deployment, and operationalization of machine learning and LLM-powered solutions, driving Generative AI use cases such as summarization, classification, embeddings, and decision support, and enabling scalable deployment through CI/CD pipelines, Airflow orchestration, and MLOps practices. Additionally, the role collaborates cross-functionally with Engineering, Product, IT, and business teams, promotes responsible AI and data governance practices, drives process improvements and operational efficiencies, supports hiring and onboarding, and fosters a collaborative, innovative, and continuous learning culture across the team.
li>7+ years of professional experience within data protection and information security, which may include Data Discovery, Data Classification and Rights Management, Data Access Governance, Data Loss Prevention, Cloud Access Security Broker, Encryption, Certificate Lifecycle Management, Cloud Security, SaaS Security. Driving day-to-day engagement execution by communicating updates to clients and Deloitte leadership, supporting delivery teams, and tracking timelines to help achieve on-time and on-budget delivery.
Technical Skills: In-depth knowledge of all application functionality, security, development, and system administration; knowledge of relevant technology, tools and middleware; proficient change agent; knowledge of the agile methodology and software maintenance and support. The manager serves as a bridge between data engineering, analytics, and business stakeholders to ensure timely, high-quality data delivery for operational and strategic needs.