Data Product Owner Manager H/F

Data Product Manager (Hybrid) Location Hybrid work in Toronto, ON : Your Moneris Career - The Opportunity We are looking for a strategic and technically adept Product Owner to lead the development of our cloud-based data warehouse and internal data products that power analytics and decision-making across Moneris. This role is important to shaping the future of data-driven insights by delivering scalable, secure, and user-centric data solutions. Location: You will be based in our Toronto office and will work in a hybrid work schedule.

Reporting Relationship : You will report to the Director, Product (Data Solutions).

Lead the vision, strategy, and 3-month to 18-month roadmap for Moneris' internal data platform and data products, ensuring understanding of our goals and user needs.

Champion data as a product, promoting a culture of data-driven decision-making and promoting adoption of platform capabilities across the organization.

Collaborate with Data Engineering, Analytics, and Business teams to define product requirements, prioritize features, and provide solutions.

Guide the development of data ingestion, transformation, storage, and presentation layers to support real-time and batch analytics.

Ensure data products are secure, compliant, and scalable, with a focus on usability and performance.

Lead agile teams, facilitating sprint planning, reviews, and retrospectives to ensure continuous delivery of value.

Monitor product performance using OKRs and KPIs and iterate based on feedback and evolving needs.

Stay current with industry trends in data platforms, AI/ML, and cloud technologies, and apply best practices to product development.

Bachelor's degree in Computer Science, Engineering, Business, or related field; 5+ years of experience in product management, with a focus on data platforms, data products, or analytics solutions.

• 2+ years of Agile experience, scrum framework.
• Experience with data warehousing technologies (e.g., Proficiency in SQL for data analysis and prototyping - experience applying data to guide results.
• Balance technical depth with business acumen, and to communicate with both technical and non-technical audiences.
• Experience with innovation, continuous improvement, and delivering measurable outcomes.
• Experience with data architecture, ETL/ELT pipelines, and data governance.
• Familiarity with AI/ML platforms (e.g., Databricks, DataRobot) and BI tools (e.g., Tableau, Power BI).
• Experience with Agile methodologies, backlog management, and team leadership.
• Experience with data privacy, compliance, and security best practices.
• Familiarity with data mesh, data contracts, and modern data product thinking.
• Experience with ETL tools such as DBT, Talend, or Informatica.
• Understanding of design of experiments, A/B testing, and data monetization strategies.

Comprehensive Total Rewards Program including bonuses, flexible benefits starting from day 1, and your choice of either a health spending account (HSA) or personal spending account (PSA)

RRSP matching & defined contribution pension plan

Learning & development programs and resources including unlimited free access to Coursera and an Educational Assistance Program

Holistic approach to your well-being, with an Employee Assistance Program for you and your family, access to 24/7 virtual health care, wellness events and a supportive workplace culture

A workplace committed to investing in Diversity, Equity and Inclusion (DEI) through various initiatives including, employee inclusion groups (EIGs), mentorship, DEI learning and workshops, educational events, and various resources including an internal DEI website and newsletter

Company-wide paid year-end closure & personal time off (including religious, personal, and volunteer days)

Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.

We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted.