Product Manager driving strategy for data and AI platforms at Tecsys. Collaborating with engineering teams to enhance analytics and AI capabilities in supply chain solutions.
Responsibilities
Define and execute the product strategy and roadmap across data and AI platform domains
Own data platform capabilities including ingestion, streaming, transformation, integration, and analytics
Lead product direction for data quality, governance, security, observability, and scalability
Partner with engineering, architecture, and cross-functional teams to translate business needs into technical solutions
Own the vision and delivery of a customer-facing AI platform, including assistants, workflows, and intelligent tools
Translate customer needs into intuitive, scalable, and impactful AI-driven product experiences
Drive adoption of AI capabilities by gathering feedback, measuring usage, and iterating based on outcomes
Manage and prioritize product backlogs, write user stories, and support Agile delivery processes
Conduct market research and competitive analysis to inform product direction
Define success metrics and KPIs to guide decision-making and measure impact
Contribute to go-to-market planning and communicate product vision to stakeholders
Balance short-term delivery goals with long-term strategic platform investments
Requirements
3+ years of experience in product management or a similar role within a technical software environment
Strong understanding of data platforms (pipelines, streaming, integration, modeling, governance, and analytics)
Experience with modern cloud data ecosystems (Databricks and AWS preferred)
Familiarity with AI/ML product concepts, especially customer-facing applications like copilots or intelligent workflows
Proven ability to translate customer needs into product requirements, roadmaps, and deliverables
Hands-on experience managing backlogs and working closely with engineering teams in Agile environments
Strong communication, stakeholder management, and collaboration skills
Analytical mindset with strong problem-solving capabilities
Track record of delivering products or features end-to-end
Senior Data Architect modernizing Alberta justice data marts into an integrated enterprise data warehouse. Designing ETL, Power BI testing, data models, governance, and reporting architecture.
Senior Data Architect integrating Alberta court data marts into an enterprise data warehouse. Designing ETL, data models, governance practices, and Power BI validation reports.
Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
Data Engineer building scalable pipelines for SumerSports’ football intelligence platform. Supporting deep learning, video, LLM, analytics, and AI - driven products across sports.
Data Platform Engineer building ingestion pipelines, storage, governance, and observability systems for Movable Ink’s AI - driven marketing personalization platform. Supporting scalable, secure, multi - tenant data services.
Senior Data Engineer building AWS ETL/ELT pipelines and dbt models for Tango’s cloud real - estate and facilities SaaS. Managing databases, data quality, warehousing, and observability.
Senior Data Engineer building AWS and dbt data pipelines for Tango’s cloud real - estate and facilities SaaS platform. Managing databases, warehouses, data quality, and analytics - ready datasets.
Data Engineer building streaming pipelines and analytical databases for Movable Ink’s data - activated marketing personalization platform. Developing Elixir/Python services and reliable event - data products at billions - event scale.
Senior Data Engineer needed for a 1 - year contract with an asset management client in Toronto. Requires 7+ years of experience, Snowflake, Python, SQL, and cloud platform expertise.