Data Scientist developing machine - learning models for The Athletic’s sports media platform. Optimizing subscriptions, workflows, experiments, and personalized article recommendations.
About the role
- Data Product Manager leading strategy and execution for analytical data products at a fast-growing data and AI company. Collaborating with clients and teams to deliver scalable data solutions.
Responsibilities
- Own the end-to-end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.
- Define product vision and priorities aligned with client business objectives and organizational strategy.
- Balance new feature development with technical debt reduction, platform scalability, and long-term product sustainability.
- Monitor product performance and usage metrics to identify opportunities for optimization and future enhancements.
- Serve as the primary client-facing product lead throughout product delivery.
- Lead discovery workshops, requirements gathering sessions, and solution scoping discussions.
- Translate business objectives into clear product requirements and prioritized development backlogs.
- Build trusted relationships with client stakeholders by communicating technical concepts in a clear, business-focused manner.
- Manage stakeholder expectations while balancing competing priorities across multiple initiatives.
- Maintain, prioritize, and refine product backlogs based on evolving business needs.
- Partner closely with Engineering, Analytics, Architecture, and Data teams to deliver scalable analytical data products.
- Lead Agile ceremonies including sprint planning, backlog refinement, stand-ups, retrospectives, and release planning.
- Ensure successful product launches and ongoing operational excellence.
- Collaborate with engineering teams to define data quality, governance, testing, and usability standards.
- Contribute to architectural discussions involving modern data platforms including Snowflake, BigQuery, ClickHouse, and similar technologies.
- Advocate for reusable, scalable data products using modern architectural principles including Data Mesh, Data Fabric, Semantic Layer, and FAIR principles.
- Perform hands-on SQL analysis and data validation when necessary to support product decisions and client discussions.
- Partner with Legal, Privacy, Compliance, and Security teams to ensure products meet regulatory and governance requirements.
- Work closely with executive stakeholders to communicate product strategy, delivery progress, and technical tradeoffs.
- Foster a product-led culture focused on delivering measurable business value through data.
Requirements
- Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or a related discipline.
- 3–5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science.
- Proven experience managing the full product lifecycle from discovery through launch and continuous improvement.
- Strong client-facing experience with the ability to gather requirements, influence stakeholders, and manage expectations.
- Advanced SQL skills with the ability to analyze datasets and validate business hypotheses.
- Experience working with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, Databricks, Redshift, or similar technologies.
- Working knowledge of:
- • Data governance
- • Semantic layer concepts
- • FAIR principles
- • Modern data architecture patterns.
- Experience working within Agile product development environments.
- Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Benefits
- 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
- Continuous learning opportunities and influence over technical direction.
- Hybrid Flexibility: 3 days per week in our downtown Toronto office.
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