Our client, is seeking an experienced, highly strategic Data Modeler to guide the design and evolution of their enterprise data architecture.
...
In this high-visibility consulting role, you will work closely with business representatives, data owners, application designers, and data architects to model both current and future-state data assets. As a subject matter expert in data modeling, AI processes, and data taxonomy, you will provide advanced guidance on data architecture strategies, ensuring alignment with enterprise standards and technical objectives. You will establish robust data quality controls, shape AI-driven data processes, and engage across cross-functional teams to solve complex data challenges while driving scalable, maintainable data solutions.
Duration: 1-Month Contract (with potential for extension)
Work Arrangement: Hybrid (3 days per week on-site at the corporate office)
Advantages
Strategic Advisory Impact: Serve as a core subject matter expert influencing enterprise data architecture, AI strategy, and platform capabilities.
Modern AI & Data Ecosystem: Shape data modeling methodologies that support advanced AI processes, machine learning pipelines, and modern data platforms.
Cross-Functional Visibility: Partner directly with enterprise data architects, application designers, and business leaders to drive collaborative problem-solving.
Predictable Hybrid Cadence: Enjoy a balanced hybrid work schedule combining remote flexibility with 3 collaborative on-site days per week.
Responsibilities
Data Modeling & Architecture Guidance: Provide advanced expertise in conceptual, logical, and physical data modeling approaches to ensure alignment with business objectives and technical standards.
Data Strategy & AI Process Integration: Shape data architecture strategies by collaborating with cross-functional teams to enhance data platform capabilities and support AI/analytics processes.
Taxonomy & Quality Governance: Establish and maintain data taxonomy standards, data dictionaries, and data quality frameworks to ensure high data integrity, consistency, and auditability.
Model Review & Refinement: Evaluate, review, and refine existing and new data models to build scalable, maintainable, and high-performance data structures.
Stakeholder Engagement: Communicate complex data concepts clearly to technical and non-technical stakeholders, fostering alignment and driving continuous innovation within data practices.
Qualifications
Data Modeling Mastery: Master proficiency in enterprise Data Modeling techniques, methodologies, and architectural frameworks.
AI & Data Strategy: Advanced expertise in AI & Data Processes, machine learning data pipelines, and overarching data strategy.
Data Taxonomy & Quality: Expert-level proficiency in Data Taxonomy design, Data Dictionary management, and Data Quality tools and methodologies.
Advisory & Influencing Skills: Proven track record acting as a trusted advisor, with strong stakeholder management, communication, and decision-making capabilities across multi-disciplinary teams.
Summary
If you are a tech-savvy Data Modeler who pairs master-level data modeling expertise with deep knowledge of AI processes, data taxonomy, and data quality governance, this 1-month hybrid contract is an outstanding opportunity. Bring your data architecture precision, strategic advisory mindset, and collaborative approach to our client's technology group today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
Our client, is seeking an experienced, highly strategic Data Modeler to guide the design and evolution of their enterprise data architecture.
In this high-visibility consulting role, you will work closely with business representatives, data owners, application designers, and data architects to model both current and future-state data assets. As a subject matter expert in data modeling, AI processes, and data taxonomy, you will provide advanced guidance on data architecture strategies, ensuring alignment with enterprise standards and technical objectives. You will establish robust data quality controls, shape AI-driven data processes, and engage across cross-functional teams to solve complex data challenges while driving scalable, maintainable data solutions.
Duration: 1-Month Contract (with potential for extension)
Work Arrangement: Hybrid (3 days per week on-site at the corporate office)
Advantages
Strategic Advisory Impact: Serve as a core subject matter expert influencing enterprise data architecture, AI strategy, and platform capabilities.
Modern AI & Data Ecosystem: Shape data modeling methodologies that support advanced AI processes, machine learning pipelines, and modern data platforms.
...
Cross-Functional Visibility: Partner directly with enterprise data architects, application designers, and business leaders to drive collaborative problem-solving.
Predictable Hybrid Cadence: Enjoy a balanced hybrid work schedule combining remote flexibility with 3 collaborative on-site days per week.
Responsibilities
Data Modeling & Architecture Guidance: Provide advanced expertise in conceptual, logical, and physical data modeling approaches to ensure alignment with business objectives and technical standards.
Data Strategy & AI Process Integration: Shape data architecture strategies by collaborating with cross-functional teams to enhance data platform capabilities and support AI/analytics processes.
Taxonomy & Quality Governance: Establish and maintain data taxonomy standards, data dictionaries, and data quality frameworks to ensure high data integrity, consistency, and auditability.
Model Review & Refinement: Evaluate, review, and refine existing and new data models to build scalable, maintainable, and high-performance data structures.
Stakeholder Engagement: Communicate complex data concepts clearly to technical and non-technical stakeholders, fostering alignment and driving continuous innovation within data practices.
Qualifications
Data Modeling Mastery: Master proficiency in enterprise Data Modeling techniques, methodologies, and architectural frameworks.
AI & Data Strategy: Advanced expertise in AI & Data Processes, machine learning data pipelines, and overarching data strategy.
Data Taxonomy & Quality: Expert-level proficiency in Data Taxonomy design, Data Dictionary management, and Data Quality tools and methodologies.
Advisory & Influencing Skills: Proven track record acting as a trusted advisor, with strong stakeholder management, communication, and decision-making capabilities across multi-disciplinary teams.
Summary
If you are a tech-savvy Data Modeler who pairs master-level data modeling expertise with deep knowledge of AI processes, data taxonomy, and data quality governance, this 1-month hybrid contract is an outstanding opportunity. Bring your data architecture precision, strategic advisory mindset, and collaborative approach to our client's technology group today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
