12 дней назад
Manager, Data Analytics - AI Enablement (AI)
91 900 - 126 390CAD
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Manager, Data Analytics - AI Enablement (AI): Building enterprise semantic models and AI-enabled analytics capabilities for standardized business metrics, dashboard creation, insight generation, and automated analytics workflows with an accent on LookML, BI architecture, and Generative AI. Focus on designing production-grade AI agents, transforming data with SQL, automating repetitive tasks, and aligning analytics initiatives across business units.
Location: Mississauga, Ontario, Canada; onsite at 1940 Argentia Rd
Salary: CAD 91,900–126,390 per year, depending on relevant experience.
Company
develops data-driven retail and advertising capabilities within Walmart.
What you will do
- Design, build, and maintain scalable enterprise semantic models that standardize business metrics across business units.
- Develop AI-enabled analytics capabilities, including AI-assisted dashboard creation, insight generation, and advanced analytical workflows.
- Design and build AI agents to automate repetitive analytics tasks and streamline workflows.
- Identify reporting infrastructure gaps, implement analytics best practices, and introduce automation.
- Train and support departments in self-service reporting and maintain vendor relationships for analytics tools.
- Partner cross-functionally with business units and present data-driven recommendations to senior leadership.
Requirements
- Expertise in semantic data modeling using Google LookML or an equivalent tool.
- Experience with BI architecture, dashboard development, and Generative AI tools.
- Applied Generative AI experience in analytics workflows and AI agent design.
- Proficiency in SQL and data transformation.
- Strong cross-functional stakeholder collaboration and business partnership skills.
- Production-grade solution development and people leadership capabilities.
Culture & Benefits
- Full-time employment with compensation based on relevant experience.
- Leadership expectations include coaching, mentoring, talent development, integrity, and accountability.
- Focus on collaboration, continuous improvement, innovation, and customer-oriented decision-making.
- Work with analytics initiatives spanning all business units.
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