Senior Data Analyst to drive delivery of future data strategy for Suvoda’s Data Services team, focusing on data delivery from clinical platform applications.
Responsibilities
Lead data discovery efforts for internal and external stakeholders
Investigate and analyze existing data in databases to interpret content quality
Ensure data accuracy, completeness, and consistency through profiling, cleansing, and enrichment
Manage cross functional data governance policies by cataloging and analyzing data
Analyze data and create reports and dashboards
Requirements
Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science or related disciplines
Master's degree in Statistics, Data Science, or related disciplines
Nice to have: ledger-based financial data experience
Help shape the data access and integration experience of the platform, with a focus on how data gets into it. Work with engineers, architects and UX to take ingestion capabilities from idea to launch, and with customers and internal teams to make sure they succeed with what we build.
Responsibilities
Partner with one or more engineering teams from ideation through launch of data ingestion and integration capabilities
Gather and write clear product requirements from a user and functional perspective, with scope and acceptance criteria that engineering can build against
Take part in feature-level design sessions with engineers, architects and UX
Work through ambiguity and bring clarity to the problem so the team can find creative solutions
Manage dependencies across teams and keep features on schedule
The Data Architect is a highly skilled data professional responsible for designing, developing, and implementing scalable data architecture solutions that support enterprise reporting, analytics, and business intelligence initiatives.
Responsibilities
Design, implement, and evolve AEI’s Enterprise Data Architecture, ensuring alignment with current and future business needs across operational reporting, BI, advanced analytics, machine learning, and AI-enabled data products.
Serve as the custodian of end-to-end data architecture and data lineage, ensuring traceability from source systems through transformation layers to business consumption.
Work closely with Data Engineering teams to establish robust, scalable, and reusable data ingestion and integration frameworks for enterprise data sources.
Establish and maintain enterprise data models, metadata standards, data lineage practices, and governance frameworks to enable consistent, governed, and reusable data products.
Provide technical leadership, architecture reviews, and mentorship to Data Engineers, ensuring compliance with enterprise architecture principles and best practices supporting BI, advanced analytics, machine learning, and AI workloads.
Support the development, implementation, and continuous improvement of OCS's data governance program by establishing and maintaining governance processes, standards, and controls.
Compensation
The target hiring range for this position is $85,000- $100,000. This is a pay grade 6 role, with a salary range of $71,777.30 - $107,379.81.
Responsibilities
Support the continuous improvement and maturity of OCS's enterprise data governance framework, including governance policies, standards, procedures, and controls.
Partner with data owners and stewards to establish governance practices that ensure data accuracy, quality, security, integrity, and reliability.
Support data classification, records management, metadata management, and role-based access controls aligned with least privilege principles.
Define data quality, availability, integrity, and security requirements, and support the implementation of controls and governance KPIs.
Maintain operational ownership of data governance processes, artifacts, workflows, and enterprise data assets.
Requirements
Post-secondary degree in Information Management, Data Governance, Information Technology, Computer Science, Business Technology, or a related field, or an equivalent combination of education and experience.
Nice to have: Certified Data Management Professional (CDMP)
Nice to have: Information Governance/Records Management certifications
Lead expert in data and platform engineering for NVIDIA’s DGX Cloud organization, responsible for building, managing, and operating the DGXC Data Platform.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 391,000 USD. You will also be eligible for equity and benefits.
Responsibilities
Define architecture and multiyear technical roadmap
Lead delivery across platform engineers, data producers, and consumers
Build and operate reusable batch and streaming ingestion capabilities
Establish shared identifiers, data contracts, and automated quality capabilities
Guide cataloging, lineage, and governed access
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
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