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About the Role

We are seeking a highly technical, execution-focused, and hands-on Data Product Manager to manage the daily lifecycle of our core data assets. In this role, you will treat data as a first-class product, executing the delivery roadmap from initial data ingestion and modeling through to engineering and deployment. You will bridge the gap between complex data infrastructure and operational needs, ensuring our analytical engines, models, and pipelines deliver real-time, automated value directly to the business. This role requires strong technical execution and product management discipline. You will not focus on front-end user experiences or static dashboards. Instead, you will engineer and optimize the underlying data structures, APIs, and algorithmic logic that power automated decision-making and fuel enterprise workflows within a modern Google Cloud Platform (GCP) ecosystem.

Responsibilities

• Own the Data Product Lifecycle: Deliver the roadmaps for assigned data products, tracking development from data sourcing and processing to production implementation and delivery
• Embed Analytics & Intelligence: Connect with business process owners to embed predictive models, rules engines, and data-driven insights directly into operational workflows and daily business applications
• Hands-on Prototyping: Actively build early-stage proof-of-concepts, data mockups, and SQL/Python-based logic prototypes to validate data availability, model logic, and workflow integration prior to full engineering scale
• Translate Data to Action: Transform complex data structures, raw algorithmic outputs, and data tables into clean, actionable, and context-aware guidance streams available at the exact moment decisions are made
• Monitor Product Performance: Track daily data health, product metrics, and pipeline reliability. Continuously monitor performance and refine models to resolve drift, ensure data quality, and maximize business impact
• Operationalize Insights: Maximize data utility and unlock ROI by shifting analytics out of passive, disconnected reporting tools and directly into live business execution
• Systemize Intelligence: Prevent a reliance on intuition or static strategies by systematically injecting proactive, data-driven recommendations into daily operations
• Ensure Decision Consistency: Enable reliable operational scale and higher win rates by standardizing data products and automated logic across diverse segments, regions, and customer footprints

Requirements

• 5+ years of experience working directly with data-centric products, data platforms, data APIs, or analytics infrastructure (e.g., as a Data Product Manager, Technical Product Manager, Data Analyst, or Data Engineer)
• Experience managing a product backlog, writing technical user stories, participating in sprint cycles, and prioritizing engineering tasks
• Ability to translate defined business goals into structured data requirements, identifying the inputs and logic parameters needed
• Expert-level SQL skills to write highly optimized, complex analytical queries. Proficiency with window functions, Common Table Expressions (CTEs), nested fields, and performance tuning for massive datasets
• Hands-on experience navigating the BigQuery architecture. Competency using BigQuery features like partitioned/clustered tables, materialized views, and BigQuery ML for rapid model deployment
• Solid understanding of core GCP data infrastructure tools (e.g., Cloud Storage, Dataflow, Dataproc, Pub/Sub, Vertex AI) used to orchestrate, store, and stream data across enterprise applications
• Fundamental proficiency in Python or equivalent scripting languages to manipulate data, connect to cloud APIs, and test functional logic prototypes
• Practical understanding of basic ETL/ELT pipelines, data transformations (e.g., using dbt within BigQuery), and data warehousing concepts
• Good understanding of how APIs and microservices are used to stream data product outputs from cloud environments into target business systems
• Foundational understanding of predictive modeling, scoring algorithms, look-alike logic, and data segmentation frameworks
• Familiarity with recommendation logic architectures and dynamic optimization rules engines
• Ability to communicate clearly and coordinate effectively between technical engineering teams (Data Engineers, Data Scientists) and commercial business users
• Analytical mindset focused on troubleshooting data flow issues and translating technical complexities into clear project status updates
• Manages stakeholder expectations within and/or across functions
• Identifies and proactively includes correct stakeholders and communications effectively
• 5+ years experience preferred
• Bachelor's degree preferred

Skills

• Data Product Management
• Data Experience
• Product Delivery
• Requirement Mapping
• GCP
• BigQuery
• Advanced SQL
• Google BigQuery Expertise
• Google Cloud Platform (GCP) Ecosystem
• Technical & Hands-On Prototyping
• Scripting Capabilities
• Modern Data Engineering
• API Fundamentals
• Analytical & Algorithmic Domain Knowledge
• Predictive & Scoring Logic
• Rules Engines
• Collaboration & Communication
• Team Liaison
• Problem Solver
• Stakeholder Management

Location

• Canada - Toronto Office TRO

Work Type

• Full-time

Experience Level

• 5+ years experience preferred

Education Level

• Bachelor's degree preferred

Salary/Compensations

• Canada - Toronto Office TRO : 99,000 - 149,000 CAD / Annual

Benefits

• Employee Assistance Program
• Insurance: Healthcare coverage, life, disability and optional benefit plans
• Retirement: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA)
• Vacation and Paid Holidays

About the Company

• Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
• A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
• A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Equal Opportunity

• Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
• Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
• We use artificial intelligence in our hiring process. Learn more here.