Data Steward: Governance, Lineage & AI-Ready Data

ThermoFisher Scientific; Edmonton; On-site; CAD 90,000 - 120,000; Full time

Job summary

Thermo Fisher Scientific in Edmonton, Canada, seeks an experienced Data Steward to drive enterprise data governance and data quality initiatives. This role operates as an independent contributor, ensuring that data assets are trusted, well-governed, and accessible across the organization.

The Data Steward will own governance, lineage, and quality of data assets across the full data lifecycle—from ERP source systems through RAW, consumable, and KPI layers.

Qualifications

• Bachelor's degree in computer science, information systems, data science, or related field.
• 3+ years of data stewardship, data governance, or data quality roles.
• Experience with data catalogs, metadata management, and lineage.
• Strong problem-solving and ability to work independently.

Responsibilities

• Own end-to-end data lineage from ERP → RAW → KPI levels, ensuring traceability and governance alignment.
• Maintain data assets within data.world, ensuring datasets are accurately classified and documented.
• Define, implement, and enforce metadata standards across the data pipeline.
• Identify and steward critical data elements (CDEs) across all layers.
• Establish and standardize business definitions, metrics, and KPIs for analytics and AI.
• Improve data discoverability, lineage visibility, and contextual clarity.
• Own data quality across the full data pipeline, develop quality rules and scorecards.
• Utilize SQL and Python to profile, validate, reconcile, and detect anomalies.
• Identify, analyze, and lead resolution of data quality issues with root-cause analysis.
• Collaborate with engineering and business teams to validate transformation logic for KPI outputs and AI datasets.
• Establish proactive monitoring and automated checks to prevent defects.
• Serve as primary steward of data.world, ensuring metadata quality and catalog usability.
• Document end-to-end lineage within data.world connecting ERP sources to KPI layers.
• Leverage data.world APIs to automate metadata ingestion, lineage updates, and catalog curation.
• Enable semantic consistency within the data catalog and drive adoption of data.world.
• Collaborate with business, analytics, data engineering, and AI/ML teams to align data definitions and KPI logic.
• Translate requirements into governed data models with semantic definitions and quality controls.
• Work independently while influencing stakeholders to adopt standardized definitions and trusted data sources.

Skills

Data governance

SQL

Python

Data lineage

Data quality

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field

Tools

data.world

APIs

Databricks

Power BI

Redshift

Athena

Job description

Thermo Fisher Scientific in Edmonton, Canada, seeks an experienced Data Steward to drive enterprise data governance and data quality initiatives. This role operates as an independent contributor, ensuring that data assets are trusted, well-governed, and accessible across the organization.

The Data Steward will own governance, lineage, and quality of data assets across the full data lifecycle—from ERP source systems through RAW, consumable, and KPI layers.