Requisition ID: 233300
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The role will execute the 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:

• Project/Product Management:
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• Demonstrate strong capabilities to articulate the product vision and effectively transform the product vision into a detailed backlog of actionable items.

• Foster robust relationships with stakeholders to translate business requirements into clear, concise, and actionable user stories and acceptance criteria.
• Collaborate with technical teams to execute project plans, monitor progress, and address issues.
• Execute a product backlog, ensuring it reflects the most valuable and feasible features for development.
• Data Modernization & 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 DBT, Airflow ( Composer), Python, 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

• Stakeholder Management:
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• Maintain strong relationships with stakeholders across various business units, technical teams, and executive leadership.

• Effectively communicate product updates, progress, and challenges to stakeholders
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• Maintain a strong focus on delivering exceptional customer service.

• Investigate and resolve data quality issues by collaborating closely with stakeholders.
• Performance Measurement & 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

• 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.

• Leadership & Mentorship:
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• Provide guidance, support, and coaching to both internal team members and downstream users of the data products developed

• Foster a collaborative, productive, and positive team environment.

DO YOU HAVE THE SKILLS THAT WILL ENABLE YOU TO SUCCEED IN THIS ROLE? - WE’D LOVE TO WORK WITH YOU IF YOU HAVE:

• Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field.
• Minimum 3+ years of experience in data product management or related fields.
• Proven experience in defining and delivering successful data products in complex environments.
• Strong understanding of data management concepts, including data warehousing, data lakes, data governance, and data security.
• Demonstrated expertise in SQL for data analysis and transformation. Proficiency in Python, Spark or any other data management related language.
• 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.
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
• 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) is preferred.
• Experience building automated solutions to support reporting and analytics functions.
• Experience with data mesh implementation is a strong asset.
• Possess a strong understanding of data management principles, product ownership best practices, and the Canadian financial services landscape
• Professional experience with modern ML tooling (Scikit-learn, XGBoost, TensorFlow, PyTorch, Spark ML, etc.) is an asset