Data Steward Jobs

About The Position

Requirements

• Bachelor’s degree in a relevant STEM or business field; 5+ years analytics experience in Asset Management
• Skilled with SQL, modern BI tools and large, diverse datasets
• Working knowledge of Confluence, Jira, and DevOps practices for tracking and documentation
• Highly analytical, detail‑oriented, and strong problem solver
• Strong organizational skills with the ability to manage multiple priorities
• Excellent collaboration and stakeholder‑management skills with an ability to anticipate business needs and align analytics with strategic priorities
• Clear communicator able to translate complex insights for non‑technical audiences
• Canadian Securities Course is required and MBA or CFA designation is considered an asset
• Fluent communication skills in English are required and bilingual skills in French are an asset

Nice To Haves

• Certifications in AI/ML or Data Engineering
• Experience utilizing Databricks to enable scalable data solutions that support analytics, reporting, and business insights
• Experience in federated analytics environments (preferred)
• Canadian Securities Course is required and MBA or CFA designation is considered an asset
• Fluent communication skills in English are required and bilingual skills in French are an asset

Responsibilities

• Produce and distribute business reports for internal and external stakeholders, including ad‑hoc data mining across unstructured and disparate data sources.
• Ensure the accuracy, integrity, and documentation of all data, reports, assumptions, and methodologies.
• Serve as the Asset Management data steward, working with NEI and other providers to validate and maintain high‑quality source data for the data warehouse.
• Partner with third‑party data management teams on schema changes and new solutions, including reviewing business requirements, writing technical specifications, and completing system testing.
• Influence cross‑functional teams to prioritize Asset Management needs on the data services roadmap, including enhancements to legacy tools.
• Apply prescriptive and predictive analytics to strengthen reporting, surface insights to senior leaders, and translate recommendations into action.
• Lead research and experimentation as a squad leader to advance DNA strategy within the AI product roadmap.

Benefits

• Competitive compensation package that rewards and recognizes individual contributions
• Excellent health, dental and insurance benefits to meet the diverse needs of our employees
• Generous vacation time, fitness benefit, parental leave top-up options
• Matching contributions to our retirement program
• Commitment to the continuous improvement of our staff through learning & development and an education assistance program
• Regular social events to foster teamwork