Data Product Owner

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JOB DESCRIPTION

Location: Hybrid | Downtown, Toronto

Duration: 3 Months | Strong Possibility of extension

Our client, a leading financial institution in Downtown Toronto, is looking for a Data Product Owner to manage the Product Backlog: Own and prioritize the product backlog, creating detailed user stories, and defining acceptance criteria to guide the development team. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Typical Day in role:

• Execute and Iterate: Work directly with developer leads and architects to break down, scope, and estimate tasks. Participate actively in all agile ceremonies, including planning, stand-ups, and retrospectives.
• Gather Customer Requirements: Act as the primary point of contact for business users and data consumers to understand their needs, pain points, and requirements for the data product.
• Validate Solutions: Engage in rapid prototyping and validation cycles with end-users to ensure the product is solving the right problems and delivering high-quality user experience.
• Own Product Features: Be the subject matter expert for your data product’s features. Show our internal customers how to drive value and use the product effectively.
• Ensure Quality: Maintain high standards for quality, with meticulous attention to detail through the entire development lifecycle.
• Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsible under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

Must Have Skills:

• 5+ years of experience within financial services industry, specifically in product innovation delivery, with good understanding of business drivers and levers
• Strong understanding of data science, analytics, or data engineering, which provides deeper technical credibility and ability to engage with technical teams (Strong understanding of the data lifecycle, analytics, and software development processes)
• Deep experience with agile frameworks (Scrum, Kanban), writing user stories, and managing backlogs in tools like Jira or Confluence.
• Understanding of AI/ML fundamentals, use cases, and business applications
• Strong proficiency with MS tools (Excel, Word, PPT) and PowerBI

Nice-To-Have Skills:

• Experience with cloud data platforms, or data modeling is an asset
• Experience in Insurance bus
• Bilingual in Spanish
• Databricks experience

Soft Skills Required:

• Proven ability to analyze ambiguous and complex problems and translate them into clear, actionable development tasks.
• Excellent communication, active listening, and stakeholder management skills with ability to translate between business and technical languages

Education:

• Business, Engineering or Computer Science degree with related experience in product innovation

FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is $50/hr -$65/hr. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.