Role: - Solution Architect -
Location: - Pleasanton CA
Duration: - 3 Months Location: Pleasanton
Solution Architect (Dia R&D, Research and Lab Exec Domain) The Position
The Solution Architect will be responsible for working closely with partners across lines of business and the IT groups in order to understand strategic drivers and tactical needs to ensure that the implementation teams can provide technically innovative solutions that meet the business needs with the necessary usability, technical stability and scalability. The Solution Architect will be supporting projects and operational activities in the Dia R&D Informatics solutions portfolio.
DutiesParticipates in the identification, evaluation and development of concepts for IT solutions by providing technical expertise and oversight of the development of prototypes and proofs of concepts.
Analyzes business scenarios and identifies opportunities for technically innovative solutions and improvements
Provides technical expertise in designing and developing systems and procedures that are cost-effective and meet user requirements by complying with the Roche technology standards and by proposing new and upcoming technologies
Designs conceptual models to support the definition of the systems' landscape within the domain as well as actively optimizing the landscape.
Co-create transparent domain architecture strategy and roadmap(s) of the product lines within R&D Research and Lab Execution domain by defining and indicating Data Governance, Data Management and Advanced Analytics, Integration and cross-cutting enablers that would need to be established to support those roadmap(s)
Define and execute a data-centric strategy for the product lines (derived from cross-cutting enablers or core capability facing business
Scientific Data Ingestion, Storing, Processing and Sharing of Data
Information Models, Semantic Layers, Data Standards, Master Data,
Business Terms and Business Glossaries
Data Governance, Metadata, and Data Cataloging
Data Access and Security
Data Tiering, Data Retention and Archiving
Works closely with EA on defining long term architecture vision, integration patterns and technical review of the technical portfolio within AOR.
Leads specialist resources on technical issues within the domain on content and provides a detailed analysis of the operations and opportunities for improvement.
Works closely with the technical team (Product Managers, Lead Developer, developers/software engineers, testers) and provides oversight for the technical development of solutions; configures the system if necessary
Identify opportunities to create additional value and improve business outcomes and manage the full product lifecycle including release management
Works closely with other solution architects within the Dia Informatics as well as with other IT functions and external partners
Ensure that Solutions are architecturally consistent, fit for purpose, meet customer requirements and comply with all relevant IT and business standards. such as reuse of technologies and solutions, and simplicity and usability.
Support Domain Lead in prioritization and strategic planning and collaborate with Business Customers to meet the needs of the business capability supported by this product and manage Product-Back-Log including new investments, enhancements and change-requests
For this position, you bring the following qualification:
Bachelor's degree in Computer Science or equivalent work experience with 7-12 years of professional IT experience in a major, global organization
Elicit business goals, needs, and outcomes around with business Leaders
across different functions
Proven Experience in AWS Cloud computing including security and
application development concepts
Demonstrated use of capability models and familiarity with intended use
Collaboration platforms; databases and data architecture and integration such
as MuleSoft and other API integration technologies
Experience with R&D/Medical & Scientific processes and in delivering
technical solutions for these functions including knowledge of procedures with
validated systems and CSV, CSA
Familiarity with information models and industry data standards
Experience in the pharmaceutical industry a plus
Strong communication skills
Negotiation skills, long term and strategic thinking without losing the actual
needs, teamwork and fast integration into bigger teams
Fluent English skills (written and spoken)
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