Ali H.
Manager, Data Science & Engineering @Shopify
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WORK HISTORY
Manager, Data Science & Engineering @Shopify
Lead a multidisciplinary data team across analytics, data engineering, and data science in support of high-priority business and people decisions- Partner with senior leaders on business planning, performance measurement, headcount forecasting, and compensation-related analytics- Build and evolve operating frameworks, governance models, and trusted reporting that improve accountability and decision quality- Translate complex analytical work into clear narratives and practical recommendations for executive and senior leadership audiences- Coach and develop high-performing team members while maintaining strong standards for analytical quality, data reliability, and execution.
EDUCATION
Ryerson University
MSc in Applied Mathematics, Mathematics, Combinatorics, Graph Theory, Discrete Mathematics
ABOUT ALI H.
I lead analytics and data teams that turn ambiguity into clear metrics, practical operating models, and decision-ready insight.Over the past 13 years, I have worked across analytics, data science, and data engineering in both public and private sector environments. At Shopify, I progressed from Data Scientist to Manager, Data Insights, building the systems, reporting layers, and governance models that helped leaders make better decisions on planning, performance, hiring, and compensation.My work sits at the intersection of strategy and execution: translating complex business questions into measurement frameworks, reliable data foundations, and narratives that leaders can act on. I have partnered closely with senior leaders across Finance, Talent, and operations, and I have led teams spanning analytics, data engineering, and data science.I am particularly interested in- Business analytics and performance measurement- Strategic planning and operating models- Executive decision support and storytelling- Building high-trust data foundations and governance- Developing strong, adaptable analytics teamsCore strengths include SQL, Python, dbt, BigQuery, Airflow, data modeling, analytics strategy, and cross-functional leadership.
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