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Business Data Architect

Scotiabank

This is a Contract position in Toronto, ON posted October 8, 2020.

 

 

 

Requisition ID: 89227

 

Join the Global Community of Scotiabankers to help customers become better off.

 

The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

 

Purpose:

 

As part of the Data Architecture & analysis team within the Data Office, the candidate will create Enterprise Authoritative Dataset (EAD) and Scotiabank Business Information Model (SBIM), which standardize the way that data is described and organized across the organization. The Data Architect role requires strong data and knowledge modeling skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork. 

 

The candidate will work closely with other data architects, data analysts, data modelers, analytics teams, technology teams and other business stakeholders in the bank to design and develop the enterprise business glossaries and SBIM.

 

What’s in it for you?

 

  • Opportunity to make an impact in the digital transformation of Scotiabank
  • Play a role in establishing the long-term data vision and contribute to the development of the Bank’s data architecture
  • Exposure across business lines, architecture and technology where data plays a critical role
  • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds
  • Competitive benefits program and continuing education programs

 

Requirements & Qualifications:

 

  • University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
  • Deep experience with data: modeling, analysis, metadata and data consumption
  • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
  • Hands-on experience in ontology / knowledge graph and taxonomy modeling; experience with NoSQL databases would be a strong asset
  • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
  • Experience in big data ecosystem tools such as Hive, Pig, Sqoop and Spark would be an asset
  • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance is an asset
  • Tools skills/experience:  Ontology modeling (e.g. TopBraid Composer, Protégé), Industry Data Models (e.g. FIBO, FSDM), Data modeling or architecture software (e.g. ERWin) Data catalog software (e.g. Collibra, IBM Information Governance Catalog), Full-text Search (e.g. Elasticsearch) 
  • Experience in data project implementation lifecycles
  • Ability to understand and suggest solutions to data design on an enterprise level
  • Experience with collaboration tools such as Confluence 

 

Accountabilities:

 

  • Develops Enterprise Authoritative Dataset spanning various business domains
  • Works with Data Office, Analytics and Business SMEs to build the list of Enterprise Data Elements and Business Terms 
  • Contributes to creating Scotiabank Business Information Model (SBIM) by organizing Enterprise Data Elements and Business Terms using ontology
  • Assists in creating a process to crowd source business domain knowledge from SMEs 
  • Assists in the selection of data architecture, ontology modeling and data virtualization tools and technology decisions
  • Assists in special high priority projects that require data analysis service at the enterprise level 
  • Assists in cross-domain collaboration on data architecture initiatives across the organization
  • Maintains a good understanding of the Bank’s business strategies, business policies, risk management and IT processes and disciplines.
  • This requires working with enterprise data management office, Governance and Technology teams
  • Ensure that the data captured through other initiatives is readily available for usage across the bank
  • Works in an Agile environment to develop Data Office capabilities
  • Drives consensus across domains to achieve enterprise consistency
  • Defines enterprise data architecture standards for the Bank

       

 

Location(s):  Canada : Ontario : Toronto 

As Canada’s International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

 

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.