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Data Architect, Enterprise Data Management At BC IMC


Victoria, Bc

Job Description


The Information Technology Department is responsible for providing technology solutions that contribute to the achievement of BCI’s vision and long-term goals. The department manages the Corporation’s business applications and information technology infrastructure, providing support to a large group of financial professionals. The IT Department is also responsible for authoring IT-related directives and conducting disaster recovery planning to minimize risk to the Corporation’s delivery of investment services.


This position reports to the Manager, Data Governance and has very close interactions with members of the Enterprise Data Management branch and the broader Information Technology department to ensure alignment, coordination, and physical technology implementation.

The Data Architect leads the design, definition, and management of the data structures and models required to support the overall data program at BCI in partnership with colleagues across various stakeholder departments. The role will place emphasis on the concept of managing ‘data as meaning’ – where primary focus is on ensuring that the meaning of data is precise, unambiguous, consistent, and transparent throughout the organization. The Data Architect will be accountable for ensuring that corporate data sets have well-defined characteristics and metadata, and that they are included in an overall taxonomy that appropriately represents our data assets in the context of our business activities.

A key challenge for the Data Architect will be establishing a framework to ensure that these activities are incorporated into existing and future state workflows and that the data architecture function emphasizes application over theory while also aligning to broader data and architectural strategies at BCI. The incumbent will also demonstrate leadership in improving overall data accessibility for end users and integration teams.

A role in data management requires strong organizational skills, acute attention to detail, and the ability to conceptualize the sometimes-abstract areas of data management and governance. The ideal candidate will have demonstrated experience in data management with an emphasis on conceptual and logical data modeling of common domains such as financial instruments, portfolio structures, holdings, benchmarks, and derivatives. An in-depth understanding of data and technology trends within asset management is highly desirable.

The Data Architect will be providing significant support to Enterprise Data Management’s efforts around data governance and project delivery. The incumbent will work very closely with business analysts, data analysts, developers, and both data producers and consumers to ensure that data requirements are captured and modeled appropriately to enable efficient processes, high data quality, and appropriate data accessibility.


Must have:

  • Applicable university degree and/or relevant professional designation
  • 7+ years direct experience in a similar role within the investment industry or 10+ years of data modeling and architecture in a closely related industry supported by strong foundations in capital markets
  • Strong previous experience where the candidate has applied leadership skills
  • Familiarity with data modeling tools such as ER Studio
  • Familiarity with data management frameworks such as DCAM or DAMA
  • Demonstrated knowledge of business glossaries, data dictionaries, data lineage, data taxonomy, business ontologies, and semantic, descriptive, structured and administrative metadata
  • Strong knowledge on the implementation of a Master Data Management solution
  • Demonstrated experience in business analysis, data modeling, and metadata management
  • Experience developing and maintaining enterprise data models with exposure across a broad range of data domains including financial instruments, indices & constituents, pricing & valuations, and other market and reference data
  • Working knowledge of both normalized and dimensional model design and development
  • Expert level knowledge of conceptual and logical modeling principles and techniques
  • Demonstrated experience working in an environment that blends both customized and application defined data models
  • Strong team player focused on cross-departmental collaboration with both technical and non-technical teams


  • Demonstrated experience contributing to the design and execution of a corporate data dictionary with complex business transformations and lineage
  • Working knowledge of the Markit Enterprise Data Management platform and other industry specific application suites
  • Working knowledge of common data integration methods and patterns
  • Advanced degree or relevant professional designation


  • Lead efforts to accurately identify and manage logical domains, such as reference, transaction and derived data domains in a consistent manner across the organization
  • Identify and map all physical repositories of data to the logical domains to better understand lineage, data replication, and to reduce overall complexity
  • Lead efforts to accurately define content and relationships to enable the organization to realize maximum value from its data sets in a consistent and controlled manner
  • Work closely with business analysts, developers, and technical architects in establishing data modeling processes and standards
  • Work closely with the data governance team to define descriptive, structure and administrative metadata within the enterprise data catalog and the enterprise data model
  • Accurately and efficiently models data requirements using proven best practices and incorporates individual assignments or project tasks into broader enterprise data models
  • Develops an expert level of knowledge about the data domains, attributes, and structures available from BCI’s primary data vendors to inform internal model development and the overall design of the data supply chain
  • Actively collaborates with colleagues on the development and implementation of a robust data quality program, embedding a data quality mindset into all design activities
  • Works closely with delivery partners in the Information Technology department, and business groups to ensure downstream integrations and data delivery points meet expectations across various dimensions of data quality (accuracy, timeliness, etc.)
  • Develops strong collaborative relationships with other business and operational groups to ensure activities carried out within the Enterprise Data Management branch align well with corporate priorities and existing pain points
  • Acts as "change agent", articulating the need for, and benefits of a data-centric mindset to internal client groups
  • Facilitates the resolution of data-related issues, particularly those that cross organizational boundaries by being an active participant of the Data Governance Working Group
  • Actively adheres to compliance and risk management policies, and participates in business continuity planning
  • Represents Enterprise Data Management on corporate project teams
  • Other accountabilities may be defined as the Enterprise Data Management program is matured



Effective performers have a high level of energy and the motivation to sustain it over time. They are ambitious and passionate about their role in the organization. They have the stamina and endurance to handle the substantial workload present in today’s organizations. They are motivated to maintain a fast pace and continue to produce even in exhausting circumstances.

Technology Savvy

Effective performers use technology to be effective in their organizational role. They value technology and understand the necessity of leveraging it to stay productive and competitive. They are proactive in investigating and adopting new technologies to achieve competitive advantage.

High Standards

Effective performers possess a high inner work standard and shows pride in their work. They consistently strive to ensure work is complete within deadlines and that all work performed is of a high quality.


Effective performers are imaginative. They are able to create a vision of a preferred future for their teams. They communicate it clearly and enthusiastically in such a way that others are attracted to it. They are able to bring the vision to life for team members.

Relationship Building

Establishes and proactively maintains a broad network of relationships (e.g. colleagues, co-workers, vendors, suppliers, etc.). They value these relationships and work effectively across the organization by maintaining positive working relationships with peers and others.

Problem Solving & Decision Making

Effective performers are able to identify problems, solve them, act decisively, and show good judgment. They isolate causes from symptoms, and compile information and alternatives to illuminate problems or issues. They involve others as appropriate and gather information from a variety of sources. They find a balance between studying the problem and solving it. They readily commit to action and make decisions that reflect sound judgment.

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