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, 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.
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.
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.
Bloomington, MN19 days ago
p>Required Qualifications: - Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field, or equivalent combination of education and experience.
- Collaborate with project team members (Product Owners/Managers, Engineering Leads, Data Scientists, Managers) to build efficient data driven platforms.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients;
Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows;
Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases;
Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards;
Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases;
Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams;
Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps;
Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.
p>• Design and implement thorough data architecture strategies • Lead large-scale projects and innovate processes • Maintain operational excellence and client interactions • Develop and document data models and data flow diagrams • Adhere to data governance and security policies • Collaborate with business stakeholders to translate data requirements into technical solutions • Drive project success through strategic advising and problem-solving • Foster a diverse and inclusive team environment. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
You will design, implement and operate technology and process solutions to reduce data risks, develop and lead the implementation of encryption strategies to protect sensitive data, manage the lifecycle of PKI systems, ensure robust and scalable certificate management processes are in place, monitor and maintain the health of certificate infrastructures to prevent downtime and security breaches, and assist with developing requirements, evaluating vendor solutions, architecting, implementing and operating data protection solutions. You will be responsible to lead, manage, mature and provide lights on support for several cyber data protection services including, but not limited to TLS/SSL Certificate Lifecycle Management Service, Encryption Key Management Service, Data Classification and Rights Management Service, Code Signing Service, Public Key Infrastructure Service, Hard Drive Encryption Key Recovery Management Service, Cyber Security Engineering and Data Protection Consultation Support.
Primary responsibilities:Manage the end-to-end annual water stewardship project tracking process, including partner outreach and data compilation in support of quantification and verification conducted by technical team members, aligned with guidance in volumetric water benefit accounting (VWBA 2.0). Coordinate (and potentially support) technical data tasks such as maintaining and operating data ecosystems (scripts, workflows, and data tables), configuring dashboards to align with water stewardship targets, and proactively monitoring and troubleshooting workflow errors.
Minneapolis, MN30+ days ago
The scope of the Data will include areas throughout Supply Chain and Supply Management (Demand Planning, Supply Planning, Detailed Scheduling, Outbound Logistics, Inbound Logistics, Warehouse Management, Order Fulfillment, Order Management) as well as throughout Global Operations (Engineering, Capacity Management, Manufacturing, Shop Floor, Quality Inspection, Digital Transformation) and others. Conduct analyses focused on data in our source systems (i.e. ERP, Advanced Planning, and related Operations, Supply Manamgent, & Supply Chain systems) to lead root cause analysis and drive continuous improvement of data quality globally via rule based logic for the highest degrees of data integrity.
Eden Prairie, MN3 days ago
p> Experience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage, Azure Data Factory, Purview, Azure Maps, etc.) Experience with Snowflake DBMS Experience with PowerBI or Tableau. Expertise in Data Modeling, Data Strategy and Roadmap for large and complex health entity and systems and implemented large scale end-to-end Data Management & Analytics solutions for more than one large client.
Eden Prairie, MN3 days ago
p> Experience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage, Azure Data Factory, Purview, Azure Maps, etc.) Experience with Snowflake DBMS Experience with PowerBI or Tableau. Expertise in Data Modeling, Data Strategy and Roadmap for large and complex health entity and systems and implemented large scale end-to-end Data Management & Analytics solutions for more than one large client.
Eden Prairie, MN3 days ago
p> Experience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage, Azure Data Factory, Purview, Azure Maps, etc.) Experience with Snowflake DBMS Experience with PowerBI or Tableau. Expertise in Data Modeling, Data Strategy and Roadmap for large and complex health entity and systems and implemented large scale end-to-end Data Management & Analytics solutions for more than one large client.
Minnetonka, MN30+ days ago
This is not a generic architect role - it is a high influence, high ownership opportunity to help define how a modern financial institution designs, scales, and operates data platforms on Google Cloud, with a strong focus on enabling data as a product and data as a service capabilities. Deep hands-on expertise with multiple GCP services, including: BigQuery, Bigtable, Pub/Sub, Dataflow (Beam), Cloud Composer, GKE, Apigee, Cloud Storage, Gemini Enterprise Agent Platform.
They lead and influence decisions around data architecture, data processing, and data governance, collaborating with IS and business units to create solutions that make data available to systems and/or data consumers, such as system users, developers, data scientists, or business analysts. How your work would contribute to our organization and the Twin Cities region:
The Principal Data Engineer works with business and IS leaders and stakeholders to establish data engineering strategies that support the organization's goals and objectives.
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. - Define and enforce test strategies for data migrations, including unit testing, data reconciliation testing, performance testing, and business validation.
The Federal Aviation Administration (FAA) Terminal Flight Data Manager (TFDM) is the surface management solution that will provide NextGen Air Traffic Control capabilities to improve air traffic operations in the National Airspace System (NAS). For 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, MN17 days ago
Preferred Experience: Highly desirable candidates will have recent experience in a current or previous job (including residency training) in informatics and working with programs and data analytics specific to pharmacy and clinical practice; advanced PharmD; PGY-1 Pharmacy Practice Residency; PGY-2 specialty residency or equivalent experience in the specialty applicable to this position. Graduates of foreign pharmacy degree programs meet the educational requirement if the graduate is able to provide proof of achieving the Foreign Pharmacy Graduate Examination Commission (FPGEC) Certification, which includes passing the Foreign Pharmacy Graduate Equivalency Examination (FPGEE) and the Test of English as a Foreign Language Internet-Based Test (TOEFL iBT).
Minneapolis, MN30 days ago
You will directly lead and oversee a multi-functional team responsible for the end-to-end management of Target+ item data and content, ensuring a high-quality catalog that helps guests easily discover, evaluate, and purchase products on Target.com. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day.
The Terminal Flight Data Management (TFDM) program is a Federal Aviation Administration s (FAA) NextGen program based on airport surface management provides that efficiencies for both the airport surface and terminal airspace by providing a new and comprehensive integrated surface traffic control and management system. The Federal Aviation Administration (FAA) Terminal Flight Data Manager (TFDM) is the surface management solution that will provide NextGen Air Traffic Control capabilities to improve air traffic operations in the National Airspace System (NAS).
The ECDS & Digital Transformation Program Manager partners closely with Quality Analytics, IT, Provider Relations, Clinical Operations, and external vendors to design and implement data pipelines, optimize clinical workflows for structured data capture, and ensure compliance with evolving NCQA and CMS digital quality requirements. Reporting to the Manager of HEDIS®, this role is responsible for translating digital quality strategy into day-to-day execution, ensuring that clinical data from electronic health records (EHRs), health information exchanges (HIEs), registries, and other digital sources can be reliably captured, validated, and used for HEDIS® measurement and reporting.
Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arizona - Home Teleworkers, Arkansas - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more}. As the product owner, this leader will drive vision, strategy, roadmap, and adoption, translating complex business and technical needs into a scalable, governed, and business-aligned product that powers search, analytics, automation, interoperability, and generative AI use cases.
If you are already an employee of the Metropolitan Council, you must pass a criminal background check if the job youre applying for is safety sensitive, is a supervisory or management job, is in the Finance, Information Services, Audit, or Human Resources departments, or has access to financial records, files/databases, cash, vouchers, or transit fare cards. Designing, developing, and maintaining data integrations (data pipelines/ETL/ELT - extracting, transforming, and loading data) using various types of data sources and targets.
Minneapolis, MN30+ days ago
With interest/expertise in Science 37's decentralized model of care delivery, the Mobile Research Nurse will perform delivery of care to participants as well as collaborate with brick and mortar sites, if indicated, for shared clinical trial implementation. Science 37's Nursing Solutions Group brings together expert nurses who share a passion for organizing, planning and implementing mobile clinical nurse services to participants in clinical trials.
Minneapolis, MN21 days ago
With interest/expertise in Science 37's decentralized model of care delivery, the Mobile Research Nurse will perform delivery of care to participants as well as collaborate with brick and mortar sites, if indicated, for shared clinical trial implementation. Science 37's Nursing Solutions Group brings together expert nurses who share a passion for organizing, planning and implementing mobile clinical nurse services to participants in clinical trials.
Technical Skills: Knowledge of the healthcare industry; expertise with data modeling & data mining; experience with data architecture, design & development, with DB2 and MS SQL DBMS, one or more OLAP/Reporting tools (Cognos and Microsoft Analysis Services, ETL tools (Cognos Data Manager or MS SQL EIS); experience with Tableau; strong knowledge of Excel, Access, and query language/software. Independent Thinking / Self-Initiative: Critical thinkers with ability to focus on things which matter most to achieving outcomes; commitment to task to produce outcomes without direction and to find necessary resources.
Eagan, Minnesota7 days ago
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.
Eagan, Minnesota7 days ago
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.
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. Stakeholders will have a shared awareness of flights on the ground and in the air, the ability to exchange data electronically, with the goal of a continuous real-time picture of traffic volume and airport resources, making flights more efficient from gate to gate.
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. The Federal Aviation Administration (FAA) Terminal Flight Data Manager (TFDM) is the surface management solution that will provide NextGen Air Traffic Control capabilities to improve air traffic operations in the National Airspace System (NAS).
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. Stakeholders will have a shared awareness of flights on the ground and in the air, the ability to exchange data electronically, with the goal of a continuous real-time picture of traffic volume and airport resources, making flights more efficient from gate to gate.
li>Builds excellent relationships internally and externally, collaborates and communicates effectively with team members, colleagues, and all other stakeholders to identify opportunities, develop sales strategies, retain key clients, navigate complex sales cycles, share best practices or feedback for product enhancements, and incorporate ideas for team improvement. Create and deliver accurate sales forecasts through strong pipeline management and maintaining data hygiene, including capturing, updating, and reporting pertinent or required sales data in Salesforce, Gong or other systems, or providing data and territory reports to management as requested.
li>Create and deliver accurate sales forecasts through strong pipeline management and maintaining data hygiene, including capturing, updating, and reporting pertinent or required sales data in the CRM, Gong or other systems, or providing data and territory reports to management as requested. Contribute to the success of the assigned territory goal by managing full cycle sales from lead qualification and needs discovery, to negotiation and closing, selling transactional or multi-year deals and professional services to existing clients and new prospect Mid-Market accounts.
p>The Terminal Flight Data Management (TFDM) program is aFederal 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.
Delano, Minnesota30+ days ago
The Payroll Specialist performs all activities necessary to process multiple bi-weekly and semi-monthly payrolls accurately using UKG and Workforce Management, and ADP ensuring compliance, accuracy and efficiency for a workforce spread among the United States and Costa Rica. - Maintain the payroll processing function to include managing employee payroll/timesheet records, reviewing input for completeness, ensuring payroll systems are correctly updated in a timely fashion, maintaining centralized payroll/HR records, and overseeing distribution of paychecks.