Senior Manager, Risk Data & Governance, Global Risk Management

Requisition ID: 238217

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

As the Senior Manager Risk Data & Governance you will lead the governance design development and management of key data products including data models optimal architecture and deployment solutions. This role is 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. You will collaborate with data users in Global Risk Management (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:

Data Modernization & Governance Advocacy

• 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
• Support rapid prototyping and development of ETLs and data pipelines using Python DBT Airflow Composer SQL and BigQuery.
• Collaborate with data stewards and data owners to ensure data quality lineage documentation and adherence to policies and regulatory requirements (e.g. OSFI PIPEDA).
• Understand how the Banks risk appetite and risk culture should be considered in day-to-day activities and decisions

Product Vision Backlog and Project Management

• Develop and champion the vision and roadmap for assigned data products aligning them with overall business objectives
• Translate business requirements into clear concise and actionable user stories and acceptance criteria
• Collaborate with technical teams to develop project plans monitor progress and address issues.
• Maintain and prioritize a product backlog ensuring it reflects the most valuable and feasible features for development

Stakeholder Management

• Build and maintain strong relationships with stakeholders across various business units technical teams and executive leadership
• Effectively communicate product updates progress and challenges to stakeholders
• Investigate and resolve data quality issues working closely with stakeholders
  

Performance Measurement & Optimization

• Define key performance indicators (KPIs) and metrics to measure data product success
• Monitor data risk metrics from the Enterprise Risk Appetite Framework and address early warnings to ensure compliance.
• Conduct data mapping and data reconciliation exercises
• Identify promote and lead opportunities to improve the efficiency and effectiveness of procedures including streamlining automating and standardization
• Proactively identify and address any roadblocks to product delivery and user adoption

Leadership & Mentorship

• Provide guidance support and coaching to team members
• 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:

• Post-secondary education in Computer Science Engineering Data Science Business or a related field; Masters degree preferred
• Several years of experience in data product management or related fields
• Proven experience in defining delivering successful data products in complex environments
• Strong understanding of data management concepts including data governance data warehousing data lakes and data security
• Experience with agile development methodologies (e.g. Scrum Kanban)
• Excellent communication interpersonal and presentation skills
• Ability to translate complex technical concepts into clear and understandable business language
• Strong analytical and problem-solving skills
• Experience with data visualization tools (e.g. Looker Tableau Power BI)
• Familiarity with cloud-based data platforms (e.g. AWS Azure GCP)
• Experience with Data Management and Issue Management tools such as Collibra
• Demonstrated ability to lead and influence cross-functional teams
• Experience working in a regulated industry particularly the Canadian financial services sector is a significant asset
• Strong understanding of Canadian regulatory requirements (e.g. PIPEDA OSFI)
• Experience building automated solutions to support reporting and analytics functions
• Experience with data mesh implementation is a strong asset
• Professional experience with modern ML tooling is an asset (e.g. Scikit-learn XGBoost TensorFlow PyTorch Spark ML etc.)
• A strong understanding of data management principles product ownership best practices and the Canadian financial services landscape
• Comfortability working in a hybrid work environment

Location(s): Canada : Ontario : Toronto

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.