Senior technology leader responsible for building and sustaining Abbott's enterprise data product capabilities and governance framework, serving as the operational and strategic linchpin between data producers and data consumers across Abbott's global business units.
Compensation
The base pay for this position is $149,300.00 – $298,700.00
Responsibilities
Design and operationalize Abbott's data product operating model
Lead the development and curation of a data product catalog and marketplace infrastructure
Own and continuously evolve Abbott's enterprise data governance framework
Lead the enterprise Data Risk Assessment program
Ensure Abbott's data practices comply with applicable regulations including HIPAA, CCPA/CPRA, GDPR
Requirements
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field
Nice to have: Master's degree (MBA, MS in Data Science, Information Management, or related discipline)
Lead the development and strategy of a data platform supporting advanced AI-powered scientific discovery, owning the full data lifecycle from ingestion to governance.
Compensation
Tier 1 (within 50 miles of Toronto or Vancouver): CA$160,000–CA$240,000.
Tier 2 (all other Canadian locations): CA$136,000–CA$204,000.
Performance-based incentives or bonuses, where applicable.
Equity participation.
Responsibilities
Define and own the Data Platform product roadmap, covering data ingestion, automated detection, schema reconciliation, and end-to-end lineage tracking.
Lead the strategy and execution of the Knowledge Graph capabilities supporting scientific discovery applications.
Develop and manage ingestion templates for contract research organizations (CROs) and laboratory partners, alongside automated data-matching experiences that make incoming datasets usable quickly.
Establish dataset-level provenance tracking, sensitivity classification, and field-of-use governance controls.
Design experiment-integration API schemas in collaboration with drug discovery and materials design teams.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Turn data into measurable outcomes for customers’ most complex challenges by developing, implementing, and monitoring data governance policies and procedures.
Compensation
The likely salary range for this position is $102,000 - $138,000.
Responsibilities
Develops, implements, and monitors data governance policies, procedures, and standards across enterprise data platforms.
Support and govern data assets across Maven Smart Systems (MSS), Vantage, Palantir Foundry, and other environments such as Microsoft 365.
Collaborate with technical teams and operational stakeholders to establish data quality metrics, monitor error rates, and oversee data catalogs and lineage tracking.
Research and ensure adherence to relevant data privacy, regulatory standards, and compliance frameworks.
Coordinate with operational stakeholders to define data ownership, establish stewardship cadences, and drive accountability across user workflows.
Requirements
Bachelor’s degree in Information Systems, Computer Science, Data Management, or related field
Lead data governance initiatives for Caterpillar’s connected products, establishing standards, metadata, and quality controls across engineering, digital, and AI teams.
Responsibilities
Lead initiatives that establish consistent definitions, ownership, standards, and governance for connected-product data
Define and improve processes for data quality, metadata, lineage, stewardship, retention, and lifecycle management
Help establish authoritative definitions and common data models across engineering and digital systems
Define measurable data-quality expectations and drive resolution of systemic data-quality issues
Ensure business and engineering context is captured alongside technical data definitions
Requirements
Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or another related technical discipline
Work closely with the sales team to understand Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve desired business outcomes, providing technical expertise and ensuring a successful proof-of-value throughout the sales cycle.
Compensation
€101.516,63—€126.896 EUR
Responsibilities
Work with Enterprise customers to understand their business, their use cases, and their data replication requirements
Develop and deliver technical presentations to Enterprise audiences
Ensure the technical win by running an organized proof-of-value process
Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole
Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence
Mid to Senior Level Software Engineer to support our Huntsville, AL location.
Responsibilities
Design, develop, test, and maintain software components supporting distributed data management and governance capabilities.
Develop and maintain backend services, REST APIs, and frontend application functionality.
Collaborate with UI/UX designers to translate user workflows, interface designs, and prototypes into functional, accessible, and responsive applications.
Work with technical leads, product stakeholders, and fellow developers to refine requirements, evaluate implementation approaches, and deliver integrated software capabilities.
Implement capabilities supporting metadata management, data registration, discovery, validation, and governance workflows.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline, or equivalent relevant experience
Lead data governance and trust initiatives across CHOP’s enterprise data ecosystem, ensuring data quality, security, and ethical use while driving AI-enabled solutions.
Compensation
$100,000.00 - $375,000.00 Annually
Responsibilities
Define and execute a multi-year Data Trust and Data Governance roadmap
Integrate data governance into broader Data & Analytics, digital, and AI strategies
Ensure governance standards are consistently applied throughout the data asset lifecycle
Provide thought leadership on modern governance practices
Promote enterprise-wide adoption of repeatable governance standards
Requirements
Bachelor's Degree in Data science, informatics, computer science, biostatistics, healthcare, business administration, or a related field
Design, build, and operate data platforms and architectures for clients across cloud platforms, ensuring high availability, scalability, and governance.
Compensation
€4,500–€6,600 gross per month.
Responsibilities
Translate business needs into technical data requirements
Design end-to-end data platforms using Snowflake, dbt, or Databricks
Build resilient distributed systems for ingesting and processing large datasets
Design data models, warehouses, and high-volume ETL/ELT pipelines
Evaluate governance foundations including MDM, catalogs, and lineage
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