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Overview
We are seeking an experienced Technical Product Manager (TPM) to lead a comprehensive Data Modernization Assessment for our client. This is a high-impact role focused on evaluating and evolving the organization’s data ecosystem. The ideal candidate will have a strong technical foundation, strategic mindset, and experience driving complex data transformation initiatives.
Job Responsibilities
- Conduct a holistic assessment of the current data ecosystem, including infrastructure, data pipelines, governance practices, analytics platforms, and delivery processes.
- Lead architecture and data pipeline reviews, ensuring scalability, reliability, and efficiency.
- Evaluate and recommend improvements for monitoring and observability practices across data systems.
- Analyze existing data product strategies, ownership models, and stewardship frameworks.
- Assess governance and metadata management processes, identifying gaps and optimization opportunities.
- Review the analytics tooling landscape, aligning tools and platforms to business objectives and team workflows.
- Evaluate companies readiness for AI-driven analytics and agentic Business Intelligence (BI) capabilities.
- Collaborate with stakeholders across engineering, data, governance, and business units to gather insights and align modernization goals.
- Deliver a comprehensive assessment report with clear, actionable recommendations across each of the evaluated pillars.
- Translate findings into strategic and operational roadmaps, providing implementation guidance and prioritization frameworks.
Basic Qualifications
- 5 years of proven experience as a Technical Product Manager or equivalent role in data modernization, digital transformation, or enterprise data strategy projects.
- Deep understanding of modern data architectures, cloud data platforms (e.g., Azure, AWS, GCP), and data engineering principles.
- Experience in data governance, metadata management, and data product lifecycle.
- Familiarity with observability and monitoring frameworks (e.g., Datadog, Prometheus, OpenTelemetry).
- Exposure to analytics tools (Power BI, Tableau, Looker) and modern AI/BI capabilities.
- Exceptional stakeholder management and communication skills, with the ability to distill technical insights into executive-level narratives.
- Strong analytical and strategic thinking, with a track record of turning complex assessments into actionable outcomes.
Preferred Qualifications
- Experience working with enterprise clients in regulated industries.
- Knowledge of agentic AI systems or LLM-powered analytics platforms.
We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the office, and flexibility for client engagement needs. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
ShyftLabs Toronto, Ontario, CAN Office
49 Wellington St E, Suite 300, Toronto, Ontario, Canada, M5E 1C9
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
