• SOSi is seeking a Data Governance & Metadata Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. • The contractor shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with Data Catalog. • The contractor shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform. • The contractor shall implement and manage data governance workflows, ensuring integration with OpenLineage, Unity Catalog, and GIS metadata standards. • The contractor shall submit the Metadata & Data Governance Compliance Report, detailing lineage tracking, classification policies, and security enhancements.

• Track database set-up, testing, maintenance and data entry • Communicate with clients, project teams and vendors on data management matters • Review study documents, design and develop project specific guidelines and instructions • Design eCRF, Data Management and Data Validation Plans and test EDC databases • Ensure data entry, follow-up and validation, including manual CRF review and SAE reconciliation • Code medical data • Track and report metrics leading to database lock • Coordinate the processing, dispatch and archiving of CRFs/queries • Maintain Clinical Data Management working files • Perform database QC checks, prepare and attend audits • Train site staff and project teams on CRF completion and data management topics

• Provide preconstruction support during project approval phase, provide historical cost data, assist in development of annual contractor purchase orders • Manage internal project budget / schedule of values within project management software, for monthly financial reporting on multiple New Builds and Retrofit projects on campus • Manage external project budget and communications within external project management software including commitment management, change management, document control, etc. • Manages monthly forecasts and cash flows, understand forecast variances, develop monthly executive reports • Manage monthly vendor invoice review process within invoicing software, including project management review, 3rd party auditing services, and communication with Accounts Payable • Responsible for accurate quarterly accrual reporting for all existing PO's on campus, including communication with vendors and Finance • Facilitate change order routing and review processes within project management software, content analysis, and executive approval as required • Review project financial health with management team each month (via dashboards, budget software, schedule comparisons, productivity reports, etc.) • Management of Internal and Contractor Risk Register update & contingency evaluation • Financial closeout of internal budgets, Vendor POs, etc. • Work closely with Site Scheduler to compare financial forecasts and risks are in alignment with schedule updates • Assistance with programmatic initiatives, training, and alignment opportunities • Line manages approximately 3-5 staff overseeing multiple data center locations • QAQC all deliverables and ensure all timelines are met • SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Role Description - Realizar análises exploratórias com foco em geração de insights de negócio - Desenvolver modelos de machine learning para problemas como previsão, classificação ou segmentação - Avaliar desempenho de modelos utilizando métricas estatísticas e de negócio - Trabalhar em conjunto com engenharia de dados para evolução das soluções - Colaborar em projetos e iniciativas de IA Qualifications - Superior completo nas áreas de Estatística, Matemática, Engenharia, Tecnologia ou correlatas - Proficiência em Python e SQL - Experiência prática com desenvolvimento de modelos de Machine Learning - Experiência com manipulação e análise de dados estruturados Requirements - Experiência em ambientes cloud (ex: Microsoft Azure, Databricks, etc.) - Interesse em IA Generativa Benefits - A Nortel é uma empresa que oferece oportunidades iguais e convida mulheres, minorias visíveis e indivíduos com deficiência a se candidatarem. - Acreditamos que a diversidade impulsiona nossos resultados e cria um ambiente de trabalho que favorece a inovação, interação e melhores oportunidades de carreira. - Todos os candidatos qualificados serão avaliados para oportunidades de emprego com base em seus méritos, sem discriminação por motivo de raça, cor, religião, orientação sexual, identidade de gênero, origem nacional ou deficiência. - Todas as nossas vagas são afirmativas para pessoas com deficiência e sua candidatura é especialmente bem-vinda.