Work Location:Toronto, Ontario, Canada
Hours:37.5
Line of Business:Enterprise Enabling Functions
Pay Details:$115,600 - $163,200 CAD
This role is eligible for a discretionary variable compensation award that considers business and individual performance.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Job Description:The Product Owner for Power BI, Microsoft Fabric, and Genie is responsible for shaping, delivering, and continuously improving enterprise analytics and conversational AI capabilities. This role bridges business stakeholders, data engineering teams, platform owners, and governance partners to convert business questions into scalable, trusted, and actionable data products.
ROLE OVERVIEWThis role owns the product vision, roadmap, and prioritized backlog for enterprise reporting, semantic models, Microsoft Fabric data assets, and natural-language analytics experiences such as Databricks AI/BI Genie or Microsoft Copilot. The Product Owner ensures analytics products are aligned to business priorities, governed appropriately, and adopted effectively by end users.
KEY ACCOUNTABILITIES- Product Strategy and Roadmap: Define and maintain the product vision, roadmap, release priorities, and success metrics for Power BI, Microsoft Fabric, and AI-enabled analytics capabilities.
- Backlog Ownership: Write user stories, define acceptance criteria, prioritize requirements, and groom team backlogs for Power BI reports, semantic models, Fabric pipelines, Lakehouse, and related analytics assets.
- Conversational Analytics Enablement: Configure, curate, and optimize natural-language analytics experiences by defining trusted datasets, sample questions, business terminology, instructions, and expected response patterns.
- Stakeholder Engagement: Partner with business leaders, analysts, engineering teams, governance stakeholders, and platform owners to translate business needs into scalable data and AI solutions.
- Governance, Risk, and Quality: Ensure data accuracy, access controls, security, compliance, documentation, and quality standards are applied across reporting solutions, semantic layers, and Microsoft Fabric capacity usage.
- Adoption and Change Management: Drive user adoption of self-service reporting and conversational AI tools through enablement plans, training materials, usage monitoring, feedback loops, and continuous improvement.
EXPERIENCE AND / OR EDUCATION- Undergraduate degree and / or product certificate
- 10+ years relevant experience
- 3 to 5+ years of experience in data product management, analytics delivery, business intelligence, or agile technology delivery.
- Knowledge of the Microsoft Power BI and Microsoft Fabric ecosystem, including semantic models, dataflows, Lakehouse, workspaces, pipelines, and capacity considerations.
- Experience translating business requirements into user stories, acceptance criteria, data models, reporting solutions, or AI-enabled analytics features.
- Familiarity with conversational analytics, natural-language querying tools, AI/BI Genie, Microsoft Copilot, or similar generative AI capabilities for enterprise data.
- Working knowledge of Agile/Scrum practices and tools such as Jira, Azure DevOps, Confluence, or similar delivery platforms.
- Strong communication, stakeholder management, analytical thinking, and problem-solving skills.
SUCCESS MEASURES- Increased adoption of trusted self-service reporting and conversational analytics capabilities.
- Improved quality, consistency, and governance of semantic models and certified data products.
- Clear prioritization and delivery of high-value analytics features aligned to business outcomes.
- Reduction in manual reporting effort through reusable data assets, automation, and AI-enabled insights.
Our Total Rewards PackageOur Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more
Additional Information:We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training & OnboardingWe will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
Language Requirement (Quebec only):Sans Objet
