Product Manager

Who are we

Job Summary

We are seeking a highly technical execution-focused and hands-on Data Product Manager to manage the daily lifecycle of our core data 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

Role 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

Qualifications

Core Data Product Management

• Data Experience: 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)

• Product Delivery: Experience managing a product backlog writing technical user stories participating in sprint cycles and prioritizing engineering tasks

• Requirement Mapping: Ability to translate defined business goals into structured data requirements identifying the inputs and logic parameters needed

GCP BigQuery & Advanced SQL (Primary Tech Stack)

• Advanced SQL Mastery: 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

• Google BigQuery Expertise: Hands-on experience navigating the BigQuery architecture. Competency using BigQuery features like partitioned/clustered tables materialized views and BigQuery ML for rapid model deployment

• Google Cloud Platform (GCP) Ecosystem: 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

Technical & Hands-On Prototyping

• Scripting Capabilities: Fundamental proficiency in Python or equivalent scripting languages to manipulate data connect to cloud APIs and test functional logic prototypes

• Modern Data Engineering: Practical understanding of basic ETL/ELT pipelines data transformations (e.g. using dbt within BigQuery) and data warehousing concepts

• API Fundamentals: Good understanding of how APIs and microservices are used to stream data product outputs from cloud environments into target business systems

Analytical & Algorithmic Domain Knowledge

• Predictive & Scoring Logic: Foundational understanding of predictive modeling scoring algorithms look-alike logic and data segmentation frameworks

• Rules Engines: Familiarity with recommendation logic architectures and dynamic optimization rules engines

Collaboration & Communication

• Team Liaison: Ability to communicate clearly and coordinate effectively between technical engineering teams (Data Engineers Data Scientists) and commercial business users

• Problem Solver: Analytical mindset focused on troubleshooting data flow issues and translating technical complexities into clear project status updates

Stakeholder Management

• Manages stakeholder expectations within and/or across functions

• Identifies and proactively includes correct stakeholders and communications effectively

Qualifications

• 5 years experience preferred

• Bachelors degree preferred

The targeted pay range for this position in the following location is / locations are:

Canada - Toronto Office TRO : 99000 - 149000 CAD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role level and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills experience and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus equity or benefits. Employees are eligible for bonus and equity may be offered depending on the position.

Equinix Benefits

As an employee you become important to Equinixs success. We ensure all your benefits are in line with our core values: competitive inclusive sustainable connected and efficient. We keep them competitive within the current marketplace to ensure were providing you with the best package possible. So wherever you are in your career and life youll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.

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.

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