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Cindy Zhu (Yuan)
Staff Data Engineer @ Shopify
Professional Background
Connie Carey, known for her relentless pursuit of excellence in product management, is currently making significant strides as a Product Manager at Heap, a leading company that empowers businesses to harness customer data for enhanced decision-making. At Heap, Connie is instrumental in shaping the product roadmap, ensuring that data-driven product decisions remain at the core of the company's mission. Her extensive experience in various high-profile roles has equipped her with a unique perspective on product growth and user engagement.
In her current position, Connie focuses on delivering a best-in-class digital experience, enabling organizations to understand their customers on a deeper level through comprehensive data insights. Heap’s innovative platform changes the way analytics are approached—from reactive reporting to proactive insights, allowing businesses to drive acquisition and delight customers while minimizing the burden on engineering teams.
Before joining Heap, Connie honed her skills in data engineering and business intelligence across several prominent tech companies, including Shopify, Square, and Instagram. Through her diverse roles, she has accumulated extensive experience in transforming raw data into actionable insights and has consistently contributed to the development of data strategies that empower businesses to thrive in a highly competitive landscape.
Education and Achievements
Connie's academic journey is rooted in engineering, having earned both her Bachelor of Science in Engineering (Bioengineering) and her Master of Science in Engineering (Systems Engineering) from the prestigious University of Pennsylvania. This strong educational background has not only provided her with technical expertise but has also equipped her with analytical and problem-solving skills essential for success in the tech industry.
Her academic endeavors included serving as a Teaching Assistant for BE301 (Signals and Systems) and EAS105 (Introduction to MATLAB), where she demonstrated her understanding of complex engineering principles and helped guide students through intricate concepts, further solidifying her leadership capabilities.
Career Trajectory and Notable Contributions
Connie’s career trajectory is impressive, to say the least. She began her professional journey at Old Navy as a Business Analyst focusing on Inventory Planning, where she developed a keen understanding of data's role in optimizing business operations. Her transition into the tech world took a significant leap as she joined Gap Inc. as a Business Intelligence Intern, where she cultivated her data analysis skills.
Following her internship, Connie further developed her expertise at Glossier, Inc., where she worked as a BI Engineer, contributing to marketing strategy, planning, and analytics. At Square, she held multiple roles, including BI Engineering Lead and BI Engineer - Marketing Strategy, demonstrating her adaptability and leadership in various contexts.
One of her notable roles was as a Product Growth Analyst at Instagram, where she influenced product decisions that led to significant user engagement improvements. Her time at Shopify as a Staff Data Engineer honed her technical skills and exposed her to a fast-paced SaaS environment that thrived on data-driven innovation.
Connie's vast experience across these roles underscores her capability to bridge the gap between technical proficiency and product management, making her an invaluable asset in any organization she engages with. At each step of her career, she has consistently contributed to elevating data analytics practices, thereby fostering a culture of insights-driven decision-making.
Achievements
Throughout her career, Connie has achieved numerous milestones that showcase her capabilities as a thought leader in product management and data engineering. At Heap, she leverages her wealth of experience to develop innovative products that facilitate actionable insights, ensuring businesses can respond to their customers' needs swiftly and effectively.
Moreover, Connie actively shares her insights and perspectives through initiatives such as the
where she explores pressing questions and challenges facing the industry today. This not only highlights her commitment to professional development but also her dedication to fostering a community where knowledge-sharing is paramount. Her work continues to inspire other professionals in the field to pursue excellence and prioritize user-centric product development.
title
Product Manager, Data-Driven Decision-Making, Heap
Engineering, Bioengineering, University of Pennsylvania, Data Analyst, Product Growth Analyst, Engineering Lead, Business Intelligence, Marketing Strategy, E-Commerce, Teaching Assistant, Analytics Intern, Digital Experience, User Engagement, Product Roadmap, Customer Data Insights, Insights-Driven Decision-Making, Data Analytics, Data Engineering
