Job SummaryWe are seeking a visionary, highly technical, hands-on Senior Data Product Manager to drive the productization of our data assets. In this role, you will own the end-to-end strategy, roadmap, and core delivery of data products that embed analytics and intelligence directly into operational workflows. This position is not about building dashboards or front-end user interfaces; it is about building the underlying data products, logic, and models that fuel real-time execution.
You will bridge the gap between complex data infrastructure and business processes. By partnering with data scientists, engineers, and business leaders, you will ensure our advanced analytics, business logic, and AI models deliver immediate, automated, and context-aware value at the exact moment decisions are made.
ResponsibilitiesOperationalize Data Products
- Embed predictive analytics, logic engines, and intelligence directly into daily business workflows by connecting deep data pipelines to operational systems
Data Product Lifecycle
- Proven success defining, launching, and managing core data products, algorithmic engines, data APIs, or embedded analytical systems
Hands-on Prototyping
- Actively build early-stage proof-of-concepts, data mockups, or SQL/Python-based logic prototypes to validate data availability, model logic, and workflow integration prior to full engineering scale
Drive Core Core Use Cases
- Productize data streams to deliver specific, high-impact business outcomes
Translate Data to Action
- Transform raw algorithmic outputs and data tables into structured, actionable, and real-time guidance streams for frontline systems
Continuous Optimization
- Monitor data quality, model drift, performance metrics, and end-business impact to iteratively refine underlying logic and intelligence accuracy
Unlock Data Value
- Data insights deliver true ROI only when operationalized. You will prevent valuable intelligence from being buried in passive, disconnected reports
Systemize Intelligence
- You will eliminate reliance on intuition and static pricing strategies by systematically injecting data-driven recommendations into daily operations
Scale Decision Quality
- Your data products will shift enterprise execution from reactive to proactive, ensuring consistent decision quality across all regions, and customer segments
Data Product Expertise
- 7+ years of Product Management experience specifically owning data products, data platforms, data APIs, analytics engines, or core ML/AI systems
Hands-on Technical Skills
- Proficiency in Google Agents, Advanced SQL skills to query complex, distributed data sets, perform ad-hoc analysis, and validate data integrity
- Python or R data manipulation tools are sufficient to explore data structures, query databases, and rapidly build functional backend prototype
Data Architecture Knowledge
- Deep understanding of modern data stacks, data pipelines (ETL/ELT), data warehousing (e.g. Big Query, Databricks), and API-driven delivery mechanisms
Business & Algorithmic Logic
- Strong background in B2B sales cycles, pricing strategies, and data segmentation methodologies
Cross-Functional Leadership
- Proven ability to collaborate heavily with data scientists, data engineers, and business process owners to translate operational bottlenecks into technical data specifications
Stakeholder Management
- Manages stakeholder expectations within and/or across functions
- Identifies and proactively includes correct stakeholders and communications effectively
- Understands stakeholder needs and builds effective relationships
- Utilizes effective methods of communication with stakeholders, varying approach accordingly
Qualifications- 7+ years experience preferred
- Bachelor's degree preferred
The targeted pay range for this position in the following location is / locations are:
Canada - Toronto Office TRO : 131,000 - 181,000 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 BenefitsAs an employee, you become important to Equinix's 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 we're providing you with the best package possible. So, wherever you are in your career and life, you'll 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.
Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.
This posting is a new position within our organization.
