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Datastage ETL
LinkedIn Recruiter Post
Aarorn Technologies seeks a Datastage ETL contractor with 5+ years of experience for a hybrid role in Toronto. Must have IBM InfoSphere DataStage, SQL, Unix scripting, and scheduling skills.
About the role
- 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
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