Company
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer. Skills: Data management, Data governance, Data quality, AI data foundations. Assess data readiness for priority AI use cases. Identify whether required data is available, usable, and”
What You'll Achieve.
Increase confidence in data quality; Enable reliable AI outputs; Improve transparency and reusability across the portfolio; Support AI use cases with compliant and well-controlled data practices; Contribute to stronger long-term data foundations; Give stakeholders better visibility into the health of the data supporting AI delivery
Industry & Context.
Identify data issues; Remediation; Improve data quality
What They're Looking For.
Must Have
Bachelor's degree in Information Systems, Computer Science, Data Management, Business Analytics, Statistics, Engineering, or a related field, 4-7 years of experience in data management, data governance, data quality, business intelligence, analytics support, or related roles, Extensive experience with AI platforms or toolchains, Experience assessing data readiness, Experience documenting data sources and definitions, Experience supporting data quality improvement for business-critical processes, analytics, or technology solutions, Understanding of data quality dimensions, metadata, lineage, ownership, controls, and data management practices, Experience partnering with IT, data owners, and business stakeholders to improve data consistency, accessibility, and governance, Familiarity with the data requirements that underpin AI, machine learning, or advanced analytics solutions, Demonstrated track record of identifying data issues, coordinating remediation, and improving confidence in data, Experience producing clear documentation, status reporting, and management information on data quality, risks, and remediation progress, Understanding of data privacy, access controls, retention requirements, and responsible data handling practices
Nice to Have
Additional training or certification in data management, data governance, data quality, or analytics is preferred, Experience supporting Corporate Affairs, communications, reputation, or other business-facing functions is preferred
What You'll Do.
Assess data readiness for priority AI use cases
Identify whether required data is available
Partner with data owners
Define and document data definitions
Define and document quality requirements
Define and document usage constraints for each initiative
Monitor data quality against agreed standards
Highlight data quality issues early
Support remediation actions that improve accuracy and dependability
Establish and maintain data management practices
Maintain documentation
Maintain control processes that improve transparency and reusability
and ongoing maintenance of datasets
Ensure datasets remain current
Coordinate with relevant teams on data access
Coordinate with relevant teams on data retention
Coordinate with relevant teams on data privacy
Coordinate with relevant teams on data governance requirements
Support AI use cases with compliant and well-controlled
Identify recurring data issues and improvement opportunities across
Contribute to stronger long-term data foundations
Produce clear reporting on data quality status
Produce clear reporting on readiness risks
Produce clear reporting on remediation progress
Give stakeholders better visibility into data health
Contribute to responsible AI governance
Ensure data used in AI solutions is handled
Ensure data used in AI solutions is documented
Ensure data used in AI solutions is aligned
How You'll Work.
Team & Collaboration
Partner with data owners; Partner with IT; Partner with delivery teams; Coordinate with relevant teams
Communication Scope
Clear reporting; Status reporting; Management information
Full Job Description
**Job Description Summary** This role is an opportunity to build the data foundations that make AI useful, trusted, and scalable within Corporate Affairs. The Data Management Analyst will support the quality, structure, accessibility, and governance of data used across the AI portfolio, helping ensure that solutions are powered by data that is accurate, compliant, and fit for purpose. Working closely with the Director, AI Enablement and the Corporate Affairs AI Enablement team, this role will strengthen the data discipline required for AI solutions to perform effectively in production. In this role you will be accountable for improving data readiness and supporting data governance across active AI use cases. Success in the role will be measured by the ability to increase confidence in data quality and enable reliable AI outputs through strong standards, controls, and day-to-day data management practices. **Job Description** **Key Responsibilities** * Assess data readiness for priority AI use cases, helping identify whether the required data is available, usable, and of sufficient quality to support reliable solution performance. * Partner with data owners, IT, and delivery teams to define and document data sources, data definitions, quality requirements, and usage constraints for each initiative. * Monitor data quality against agreed standards and highlight issues early, supporting remediation actions that improve the accuracy and dependability of AI outputs. * Help establish and maintain data management practices such as metadata, lineage, documentation, and control processes that improve transparency and reusability across the portfolio. * Support the preparation, validation, and ongoing maintenance of datasets used in AI solutions, ensuring they remain current, structured, and fit for business use. * Coordinate with relevant teams on data access, retention, privacy, and governance requirements so AI use cases are supported by compliant and well-controlled data pr
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