Lead the vision, strategy, governance, and development of the Clinical Data Layer, enabling secure and efficient clinical data flow across the development lifecycle.
Lead the vision, strategy, governance, and development of the Clinical Data Layer, ensuring secure and efficient data flow from source systems to trusted data products across the clinical development lifecycle.
Compensation
This position's reasonably anticipated salary range is $148,000-$195,000 annually. The actual salary offered will consider internal equity and may also vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience, among other factors.
Responsibilities
Own the vision, strategy, governance, adoption, and continued development of the Clinical Data Layer
Define and communicate long-term vision, roadmap, investment case, and business strategy
Establish governance for data products, metadata, reference data, quality controls, access, stewardship, and measures of platform value
Partner with architecture and technology teams to enable scalable integration, common data models, interoperability, and reusable clinical data flows
Shape safe, high-value uses of artificial intelligence, intelligent automation, semantic models, knowledge graphs, and agent-based capabilities
Requirements
Bachelor’s degree in data science, computer science, clinical informatics, life sciences, technology, statistics, or a related field
Nice to have: led large-scale business transformation involving clinical data, digital capabilities, and global, cross-functional stakeholders in regulated environments
Nice to have: understanding of clinical data standards, metadata management, data architecture, statistical analysis workflows, governance, and the clinical development lifecycle
The Technology Senior Analyst role is responsible for evaluating business processes, making recommendations, developing innovative solutions, and improving processes using digital standards and technology to support cost containment and supply chain optimization.
Locations (4)
Phoenix, Arizona, United States
Scottsdale, Arizona, United States
Jacksonville, Florida, United States
Rochester, Minnesota, United States
Responsibilities
Evaluating business processes, making recommendations, and developing innovative solutions.
Improving processes using digital standards and technology.
Supporting cost containment and supply chain optimization for the Practice.
Lead Principal Product Manager responsible for defining product direction and delivering scientific computing and genomics capabilities on Oracle Cloud Infrastructure.
Compensation
US: Hiring Range in USD from: $119,200 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Define product vision, strategy, roadmap, and investment recommendations for scientific computing and genomics
Build trusted relationships with scientists, bioinformaticians, research computing teams, and customer decision makers
Translate customer discovery into clear requirements, user journeys, prioritized capabilities, release objectives, and acceptance criteria
Own product decisions throughout discovery, development, pilot deployment, launch, and continuous improvement
Define the product experience for onboarding, configuring, executing, monitoring, and troubleshooting scientific computational workflows
Requirements
Bachelor’s degree in Computer Science, Engineering, Natural Sciences, Business, or a related discipline
Provide technology portfolio management, business analysis, enterprise architecture analysis, technology governance, and data governance for the Hudson Tunnel Project.
Compensation
The estimated starting salary for this position is $140k.
Responsibilities
Build and maintain the application register
Reconcile the application register with procurement, finance records and asset records
Document current-state business processes, data flows, and integration maps
Run the technology intake process for new software and change requests
Lead requirements workshops and prepare requirements, user stories, business cases, and options analyses
Requirements
Bachelor's degree in Information Systems, Business, Information Technology, or a related field
Nice to have: CBAP certification
Nice to have: CCBA certification
Nice to have: TOGAF Foundation certification
Nice to have: capital-program systems (Kahua or Primavera P6)
Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability using standard tools, APIs, and low-code platforms.
Responsibilities
Configure and support packaged or SaaS applications
Manage application releases
Ensure system stability and performance
Align solutions with business needs
Collaborate with stakeholders to understand requirements
Lead the design, delivery, and continuous improvement of enterprise technology solutions that drive business growth and transformation.
Compensation
Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
National Range: $143,000 - $165,000
Maryland Range: $143,000 - $165,000
NYC/Long Island/Westchester Range: $143,000 - $165,000
Responsibilities
Lead and mentor context engineers and software developers
Establish product roadmaps and delivery plans
Oversee enterprise application portfolio
Evaluate and prioritize product opportunities
Align product development practices with enterprise strategy
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence
Nice to have: SAFe Certification
Nice to have: Microsoft Certified: Azure AI Engineer Associate
Nice to have: Microsoft Certified: Azure Developer Associate
Nice to have: familiarity with cloud data platforms, data lakes, data products, application programming interfaces, and modern integration patterns
Nice to have: ability to connect business and technical perspectives and understand artificial intelligence, machine learning, agents, semantic layers, and modern data ecosystems
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