Title: Manager, Capital Markets Data Platform Intake and Onboarding

Requisition ID: 259423

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role

Drive the intake and governance processes for the Global Banking and Markets (GBM) data platform by managing reusable datasets (including trades, orders, legal entities, and reference data), increasing platform adoption and customer experience, and supporting business and regulatory initiatives through data sourcing, metadata, lineage, and transformation governance.

Is this role right for you? In this role, you will be responsible for:

• Manage the day to day activities of the GBM data platform intake and governance process.. Collect metadata from data consumer/producer. Effectively collaborate with key stakeholders for successful implementation of data governance activities.
• Contributes to the overall data management practice and capabilities relating to data quality, data provisioning, metadata, lineage, reference data, issue management, and change management on GBM DP.
• Monitoring the status of data intake project from the JIRA system, improve and automate the status report for senior management.
• Own the change management process of GBM DP, keep producer/consumer up-to-date with change in data pipeline, SLA/DSA, business process. and analyze the potential impact.
• Enhance data control and metadata management on GBMDP and facilitate the resolution on data issue.
• Responsible for reporting data platform measures to senior management.
• Support on Google Cloud Migration by Providing advisory on metadata related question from GBM DP perspective.

Do you have the skills that will enable you to succeed? We’d love to work with you if you have the following:

• University Degree in Finance / Business / Computer Science / Mathematics
• 3+ years of experience in Financial Services,capital market experience is preferred.
• Solid understanding of Data Governance Principals, Understanding of key components of modern data platforms including: data quality controls, data acquisition and ingestion, data processing, data enrichment, data models, data distribution.
• Strong Knowledge of Capital Markets products, some knowledge of trade lifecycle.
• Familiar with Json format data, Proven data analysis skills by using PowerBI / SQL /Python. Postman /ElasticSearch is a plus.
• Experience with project delivery, business analysis, and communicating with crossfunctional teams such as Data Architect team, IT team, business groups.
• Google Cloud Platform experience is a plus.
• Comfortable working in a team environment and dividing up tasks
• Comfortable with Atlassian tools, such as JIRA and Confluence

Working Conditions

Work in a standard office-based environment; non-standard hours are a common occurrence.

Location(s): Canada : Ontario : Toronto || United States : Texas : Dallas

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

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.

Job Segment: Database, Change Management, Data Analyst, Data Architect, Data Management, Technology, Management, Data

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