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info@maplesoftgroup.com
Maplesoft Group is currently seeking a Data/Information Architect for our Federal Government client.

Tasks and Responsibilities include, but are not limited to the following:

• Works as part of a collaborative team of senior data/information architects dedicated to the project

• Develop and evolve the common semantic data model (information, conceptual and logical level) ensuring semantic clarity, consistency and alignment with real-world healthcare concepts, roles, workflows and terminologies. The models cover currently 900 data elements and expanding with features like:

• Covers pan-Canadian space.

• Technology agnostic.
• Includes concepts, attributes, relationships, constraints.

• Includes comprehensive metadata modelling.

• Includes definitions that are based on thorough research of related data standards.

• Represents the cient in collaborating with subject matter experts, terminology specialists, domain modellers, data architects and standards developers from external organizations (key national, provincial, and territorial stakeholders) to develop data architecture.

• Works closely with various internal stakeholders including analysts, business subject matter experts and architects to gather their input on semantic data models.
• Participate in reviews, governance processes and versioning activities related to the data models and their evolution.
• Provides strong expertise and an aptitude for abstract information design and for navigating ambiguity in the healthcare system
• Participates actively in metadata modelling.
• Assesses current health landscape for relevant information such as data models and standards to determine future architecture (e.g. HL7 FHIR, SNOMED CT, LOINC, PS-CA, USCDI, NHS, OMOP, ISO-13940, ISO-11179 etc.).
• Collaborates on the definition of other standard architectural components such as, business glossary, architecture significant business requirements, business context model, data elements, value sets.
• Ensures that interoperability, data consistency, data lifecycle, technological risks are all addressed in the data architecture deliverables.
• Documents, communicates, and disseminate data architecture artifacts to multi-disciplinary audiences.
• Identifies risks, raises them and works with the project team to develop mitigation plans.
• As required, assist in both tactical and strategic planning for further development.

Maplesoft Group prides itself on its distinct corporate culture and recognizes that success is a direct reflection of our most valuable asset - our people. Therefore, attitude and ambition are key personality traits we seek out, along with skill and aptitude, in potential employees.
Maplesoft Group is committed to having a diverse, representative workforce and continuing to build an inclusive environment. We encourage applications from all qualified individuals. Maplesoft Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Aboriginal peoples or any other legally protected factors.
All employment decisions are made based on business needs, job requirements, and individual qualifications.
We are committed to developing inclusive, barrier-free recruitment and selection processes, and a work environment that supports our diverse workforce. Please let us know if you require accommodations at any stage of the recruitment process. We can be reached at Maplesoft Info at info@maplesoftgroup.com.
We thank you for your interest in Maplesoft Group and wish to advise you, that only candidates under consideration will be contacted

• Works as part of a collaborative team of senior data/information architects dedicated to the project
• Develop and evolve the common semantic data model (information, conceptual and logical level) ensuring semantic clarity, consistency and alignment with real-world healthcare concepts, roles, workflows and terminologies. The models cover currently 900 data elements and expanding with features like