
Senior Manager – HR Analytics
Posted Oct 23

Posted Oct 23
This is a fully remote position, open to applicants in Canada.
• Assume full responsibility for client engagements from start to finish, guaranteeing the successful implementation of data, analytics, and AI initiatives.
• Convert intricate business challenges into effective, scalable analytics and AI solutions.
• Develop, nurture, and enhance relationships with senior stakeholders at client organizations.
• Ensure alignment, manage stakeholder expectations, and provide outstanding client experiences.
• Lead and assist cross-functional delivery teams made up of data scientists, data engineers, and business analysts.
• Guarantee high-quality execution of projects.
• Spearhead strategic initiatives that promote enterprise-wide AI adoption, cloud-native data modernization, and measurable business results.
• Collaborate with AI, data, engineering, and consulting professionals across various locations.
• Expand and strengthen strategic client partnerships.
• 9-15 years of professional experience, with a minimum of 5 years focused on HR analytics.
• Proven experience in facilitating enterprise-level HR data and analytics transformation projects.
• Strong knowledge of HR metrics and KPIs, including headcount, attrition, turnover, span of control, and workforce productivity.
• Capable of leading discovery workshops, engaging senior HR and business leaders, and guiding the technical team on project approach.
• Exceptional ability to supervise, assist, and remove obstacles for cross-functional technical teams to ensure successful project outcomes.
• Proven track record of identifying business needs, proposing solutions, and driving account growth.
• Ability to collaborate with IT and Data Engineering teams to integrate analytic outputs into business processes.
• Degree in Business Analytics, MBA, or equivalent professional experience.
• Medical
• Dental
• Vision
• Retirement Accounts
• Long and Short-Term Disability
• Life Insurance
• HSA/FSA Accounts (USA)
• Discretionary time off
• Continuous learning and AI upskilling opportunities
• Hands-on exposure to emerging technologies
• Opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms
• Equal employment opportunities
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