Senior Manager, Risk Data
Canada 5 days ago
Job Description
Requisition ID:
Join a purpose driven winning team, committed to results, in an inclusive and high:performing culture.
The role will lead the design and development and management of key data products including data models, optimal architecture and deployment solutions. This role is also critical to the success of our data strategy, ensuring that valuable and reliable data assets are readily available to empower our business units and drive innovation. The role will collaborate with data users in GRM, Data Governance, and Technology teams to define, prioritize, and deliver impactful data products in compliance with internal policies and industry regulations
Is this role right for you? In this role, you will:
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Product Vision and Backlog:
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Develop and champion the vision and roadmap for assigned data products, aligning them with overall business objectives
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Translate business requirements into clear, concise, and actionable user stories and acceptance criteria.
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Data Modernization and Governance Advocacy:
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Act as a key advocate for data architecture best practices, considering data mesh and cloud:based options within the organization, promoting transparency, simplification, self:serve, and domain ownership principles
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Support rapid prototyping and development of ETLs and data pipelines using Python, DBT, Airflow, Composer, SQL, and BigQuery.
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Collaborate with data stewards and data owners to ensure data quality, lineage documentation and adherence to policies and regulatory requirements (e.g., OSFI, PIPEDA).
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Understand how the Bank's risk appetite and risk culture should be considered in day:to:day activities and decisions
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Product Backlog and Project Management:
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Collaborate with technical teams to develop project plans, monitor progress, and address issues.
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Maintain and prioritize a product backlog, ensuring it reflects the most valuable and feasible features for development.
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Stakeholder Management:
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Build and maintain strong relationships with stakeholders across various business units, technical teams, and executive leadership.
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Effectively communicate product updates, progress, and challenges to stakeholders
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Investigate and resolve data quality issues, working closely with stakeholders.
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Performance Measurement and Optimization:
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Define key performance indicators (KPIs) and metrics to measure data product success.
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Conduct data mapping, and data reconciliation exercises
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Identify, promote, and lead opportunities to improve the efficiency and effectiveness of procedures, including streamlining, automating, and standardization.
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Proactively identify and address any roadblocks to product delivery and user adoption.
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Leadership and Mentorship:
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Provide guidance, support, and coaching to team members.
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Foster a collaborative, productive, and positive team environment.
Do you have the skills that will enable you to succeed in this role? Wed love to work with you if you have:
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Bachelors degree in Computer Science, Engineering, Data Science, Business, or a related field. Masters degree preferred.
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Minimum 7+ years of experience in data product management or related fields.
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Proven experience in defining and delivering successful data products in complex environments.
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Strong understanding of data management concepts, including data warehousing, data lakes, data governance, and data security.
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Experience with agile development methodologies (e.g., Scrum, Kanban).
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Excellent communication, interpersonal, and presentation skills.
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Ability to translate complex technical concepts into clear and understandable business language.
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Strong analytical and problem:solving skills.
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Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
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Familiarity with cloud:based data platforms (e.g., AWS, Azure, GCP).
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Demonstrated ability to lead and influence cross:functional
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