div style="width:100%;border-collapse:separate;border-spacing:12px 0">Rockville, MD30+ days ago
p>Job Summary: To provide leadership, strategic direction, and oversight for end-to-end clinical data management activities throughout the lifecycle of clinical trials - from study start-up through trial execution and study closeout - ensuring quality, compliant, and timely clinical data delivery.
The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer screen, iPad, or other electronic device; and extensive reading.
Alexandria, VA12 days ago
p>Required Abilities: - Strong proficiency in data management tools and practices, including relational databases, flat-file management, and data cleaning/validation techniques.
- Build and maintain automated or semi-automated data pipelines (e.g., using R, Python, SQL, or other tools) to reduce manual processing, improve reproducibility, and accelerate data delivery to analysts.
Currently has, or is in the process of obtaining a: Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
p>MINIMUM REQUIREMENTS: Bachelors degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field and at least 5 years of post-bachelor's progressive related work experience; OR a Master's degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field and at least 4 years of related work experience. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750.
li>Coordinate and execute proactive Information Security consulting to the business and technology teams covering API Security, File Transfer, Infrastructure Security, Resiliency, Data Security, Network Architecture and Design, Datalake Architecture, BI, and consumption tools, and User Access Management.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY's Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com.
p>Pharma Commercial Data Domain Expertise (Critical)This role requires demonstrated, working knowledge of the following IQVIA and third-party pharmaceutical data assets: Sales & Demand DataIQVIA DDD / NPA / NSP: Deep understanding of sub-national prescriber-level (DDD), national prescription audit (NPA), and national sales perspectives (NSP) data structures, including product hierarchies, outlet types, and projection methodologies. AI-Ready Data Architecture & EnablementFeature Store & ML-Ready Datasets: Design and build curated, governed feature stores and ML-ready datasets on Snowflake to accelerate data science workloads including patient propensity models, next-best-action engines, formulary prediction, and treatment-pathway classifiers.
Baltimore, Maryland30+ days ago
This is a Lead Data & Analytics Engineering position at the Vice President level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. Data Onboarding: Working with Fraud Leadership and technology partners, identify and onboard new and ongoing data sources as required to satisfy Fraud data needs to support ongoing Fraud efforts, and enable Fraud coverage of new products and capability launches for the Firm.
Extensive technical project management experience, independently initiating and driving projects to completion, and experience solving strategic problems. 4+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights.
Bethesda, Maryland11 days ago
Reporting to the Senior Manager of Regulatory Affairs & Data, this role directly oversees a small, dedicated team (including a Clinical Data Manager and a Data Management Analyst) supporting a robust portfolio of 65+ active multi-site research studies, including federally funded, FDA-regulated and industry-sponsored clinical trials, across military treatment facilities, academic institutions, and other sites nationwide. Headquartered at the Uniformed Services University of the Health Sciences (USU) in Bethesda, MD, MIRROR provides coordination and support of inter-service and inter-disciplinary partnerships across military treatment facilities (MTFs), military training centers (MTCs), and civilian academic centers to execute cutting-edge research in order to mitigate the burden of MSI on military readiness.
p>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. As a Deal Data Technology & Analytics Manager, you will play a pivotal role in helping organizations leverage technology and data to drive better Deal decisions and execute transactions more effectively.
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.
and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. In this position, you will perform activities including handling change requests, supporting change impact identification, facilitating change boards, updating change implementation tasks, Data configuration management on Requirements, Engineering documents, and configuration control for revision management.
EUR/ACE works closely with the Bureau of South and Central Asian Affairs (SCA) and other bureaus and agencies to coordinate assistance, ensuring that programming is cohesive, strategically aligned, and responsive to regional needs. EUR/ACE, housed within the Bureau of European and Eurasian Affairs (EUR), oversees foreign assistance across Europe, Eurasia, and Central Asia.
Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments. The Senior Data Manager is involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/. We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars!
This role is responsible for ensuring enterprise data assets remain structured, accessible, reliable, and aligned with mission and operational objectives as data volume, complexity, and interoperability requirements continue to evolve. Requires BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience.
p>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. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Craft and convey clear, impactful and engaging messages that tell a holistic story.
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.
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.
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.
Familiarity with enterprise data management tools and frameworks such as Collibra, Informatica, Microsoft Purview, Databricks, DAMA-DMBOK, or equivalent data governance platforms. Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues.
Silver Spring, MD12 days ago
Responsibilities balance the safe ingestion, documentation, and web-service dissemination of coral datasets with collaborative outreach, including the development of web stories, story maps, and social media content for stakeholder engagement. - Develop and maintain finalized environmental datasets for open web services (such as OGC-compliant, REST-based geospatial services) to increase public and stakeholder access to CRCP-funded products.
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.
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) • A Masters Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration. Jumpstarting a self-supporting community by sowing the right seeds, building the right tools, integrating the right off-the-shelf products and just plain elbow grease • Succeeding strategically.
Washington, DC30+ 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.
The candidate will also support configuration management efforts through controlled reviews of technical and engineering documentation to ensure consistency, traceability, and version control across enterprise data assets and systems. The candidate is responsible for ensuring enterprise data is structured, accessible, reliable, and aligned with mission and operational objectives as data volume, complexity, and interoperability requirements continue to evolve.
With 30,000 employees working together, Tetra Tech provides clear solutions to complex problems by Leading with Science to address the entire water cycle, protect and restore the environment, design sustainable and resilient infrastructure, and support the clean energy transition. EUR/ACE works closely with the Bureau of South and Central Asian Affairs (SCA) and other bureaus and agencies to coordinate assistance, ensuring that programming is cohesive, strategically aligned, and responsive to regional needs.
Apply Chargé de recrutement H/FClermont-FerrandCDIDéveloppement commercial et gestion de lactivité Chargé de recrutement H/FLa Roche-sur-YonCDIDéveloppement commercial et gestion de lactivité Chargé de recrutement H/FLe MansCDIDéveloppement commercial et gestion de lactivité Chargé de recrutement H/FLevallois-PerretCDIDéveloppement commercial et gestion de lactivité Chargé de recrutement H/FNantesCDIDéveloppement commercial et gestion de lactivité Chargé de recrutement H/FNiceCDIDéveloppement commercial et gestion de lactivité Chargé de recrutement H/FToulouseCDIDéveloppement commercial et gestion de lactivité Chargé de recrutement H/FToursCDIDéveloppement commercial et gestion de lactivité Chargé de recrutement H/F en stageOrléansStageDéveloppement commercial et gestion de lactivité Chargé des opérations Onsite H/FMarcillac-VallonCDIDéveloppement commercial et gestion de lactivité Chargé des opérations Onsite H/FVire-NormandieCDIDéveloppement commercial et. Index Egapro This index allows companies to evaluate the level of equality between women and men on 100 points based on the followings criteria: gender pay gap, difference in individual salary increases, number of employees receiving increases following their maternity leave, parity among the then highest paid.
p>Overview: The Manager of Data Engineering is responsible for leading a team of data engineers to build and optimize data pipelines, design scalable systems for data storage and processing, and ensure data-driven decision-making across the organization.
Proven customer-facing experience with excellent communication and interpersonal skills; highly capable of investigating client environments and articulating complex data-related concepts to both technical and non-technical external stakeholders.
Gaithersburg, MD30+ days ago
p>$121,500-$202,500 About the CompanyImmunocore (NASDAQ: IMCR) is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease. Our ImmTAX molecules underpin a new generation of precision engineered drugs that harness the immune system to treat a broad spectrum of diseases with high unmet medical need, including oncology, infectious diseases and autoimmune diseases.
Bethesda, Maryland30+ days ago
ul style="margin-top:0in">Requires BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience. This position will also support configuration management efforts through controlled reviews of technical and engineering documentation to ensure consistency, traceability, and version control across enterprise data assets and systems.
This position will also support configuration management efforts through controlled reviews of technical and engineering documentation to ensure consistency, traceability, and version control across enterprise data assets and systems. This role is responsible for ensuring enterprise data is structured, accessible, reliable, and aligned with mission and operational objectives as data volume, complexity, and interoperability requirements continue to evolve.
Demonstrated sectoral expertise across one or more EUR/ACE priority sectors, including security sector assistance (e.g., law enforcement, border security, counter-narcotics, counterterrorism), economic growth and trade, energy and critical minerals, democracy and governance, public diplomacy, agriculture, or humanitarian assistance. Overview: IBTCI is seeking a Senior Data Manager/Analyst to lead data systems, analytics, and visualization for an upcoming large-scale MEL program to support the U.S. Department of State (EUR/ACE).support contract for the U.S. Department of State (EUR/ACE).
li>Work closely with the AI & Data team to establish and enforce data discipline across the lifecycle-data quality, lineage, and governance (enablement)-to ensure reliable, reusable, and business-owned data assets.
What You Will Need:
Bachelor's Degree and minimum 10 years of experience in data management, analytics, business intelligence, sales operations, marketing operations, or a related role or 14 years of relevant experience in lieu of degree.
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.
p style="text-align:left">Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive.
FORTUNE100 Best Companies to Work For® 2025 Yello and WayUp Top 100 Internship Programs Computerworld® Best Places to Work in IT Newsweek Most Loved Workplaces 2025 PEOPLE® Companies That Care Newsweek Most Trustworthy Companies in America Military Times 2025 Best for Vets Employers Best Companies for Latinos to Work for 2025 Forbes® 2025 America's Best Large Employers Forbes® 2025 Americas Best Employers for New Grads Forbes® 2025 Americas Best Employers for Tech Workers 2025 RippleMatch Campus Forward Award Winner for Overall Excellence Military.com Expertise in cloud data platforms is essential, as the role will play a critical part in shaping the organizations cloud data strategy, promoting innovation, and delivering efficient, scalable solutions for data governance and artificial intelligence.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS/Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or equivalent.
Data Manager Bluemont Technology & Research, Inc.
Data ManagerBethesda, MD26 days ago
EDUCATION: BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience. • Perform configuration management and controlled documentation reviews to ensure alignment, traceability, consistency, and version control across data assets and engineering documentation.
Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. The Network Compliance Senior Manager is a critical member of the team responsible for delivering effective challenge and compliance advice for business processes worldwide, as well as serving as a subject matter expert to ensure the development of the network compliance program at Capital One aligns with the company's broader enterprise risk management framework.
Your primary mission is to source outcome and behavioral data-purchase transactions, financial indicators, automotive, real estate, and other conversion signals-that can be matched at the household level to build propensity models and enrich audience profiles. The platform combines first-party network, security, and media consumption signals from tens of millions of households to generate behavioral insights, audience segments, and predictive models for commercial and advertising applications.
HUNT VALLEY, MD30+ days ago
ul>Data Product Strategy & Vision: Defines the strategy and roadmap for Marketing data products that enable functional priorities and deliver measurable business value in alignment with McCormick's enterprise data strategies-both at the functional level, as established by the Data Owner, and at the enterprise level as established by the Chief Data & Analytics Officer (CDAO). Manages the data product backlog-translating functional requirements into clear, actionable user stories-and directs Data Engineers, Data Architects (who are part of the AI and analytics product teams), and Data Stewards to deliver high-quality, secure, and accessible data solutions.