Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We 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.

Responsibilities

Operationalize 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 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: Prevent valuable intelligence from being buried in passive, disconnected reports.
Systemize Intelligence: Eliminate reliance on intuition and static pricing strategies by systematically injecting data-driven recommendations into daily operations.
Scale Decision Quality: Shift enterprise execution from reactive to proactive, ensuring consistent decision quality across all regions and customer segments.

Requirements

7+ years of Product Management experience specifically owning data products, data platforms, data APIs, analytics engines, or core ML/AI systems.
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 sufficient to explore data structures, query databases, and rapidly build functional backend prototypes.
Deep understanding of modern data stacks, data pipelines (ETL/ELT), data warehousing (e.g. Big Query, Databricks), and API-driven delivery mechanisms.
Strong background in B2B sales cycles, pricing strategies, and data segmentation methodologies.
Proven ability to collaborate heavily with data scientists, data engineers, and business process owners to translate operational bottlenecks into technical data specifications.
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.

Skills

Google Agents
Advanced SQL
Python
R
Data Warehousing
API-driven delivery
B2B sales cycles
Pricing strategies
Data segmentation

Location

Canada - Toronto Office

Work Type

Full-time

Experience Level

7+ years experience preferred

Education Level

Bachelor's degree preferred

Salary/Compensations

131,000 - 181,000 CAD / Annual

Benefits

Employee Assistance Program
Healthcare coverage
Life insurance
Disability insurance
Optional benefit plans
Defined Contribution Pension Plan (DCPP)
Group Retirement Savings Plan (RRSP)
Tax-Free Savings Plan (TSFA)
Vacation time
Personal time
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.