Principal Data Product Manager driving data and AI product roadmap for Global Markets at Equinix. Collaborating with stakeholders and engineering to deliver high-quality data products and solutions.
Responsibilities
Drive product execution and delivery
Own day-to-day product management for assigned data and AI products; manage backlogs, define requirements, and drive delivery
Translate business needs into detailed product requirements and user stories that engineering can execute against
Review and assess data models, pipeline designs, and system architectures; identify risks and tradeoffs before they become problems
Guide engineering toward pragmatic solutions when requirements are ambiguous or shifting
Identify and manage risks in release delivery and communicate with stakeholder with clarity and mitigation plans
Drive business impact through stakeholder engagement
Build trust-based relationships with business stakeholders by understanding their strategy, pain points, and how data and AI solutions can help
Set clear expectations, push back on low-value requests, and educate stakeholders on what's possible and what's not
Frame ambiguous problems, generate hypotheses, and drive to recommendations when there's no clear precedent
Improve operational excellence
Support data product continuity during a major technology stack migration; ensure critical reporting capabilities remain intact as systems transition over multiple quarters
Partner with engineering to design interim solutions that bridge old and new data models during migration
Balance strategic roadmap work with operational responsibilities; protect time for building while keeping the lights on for products in ‘maintenance’ mode
Manage data quality escalations and work with engineering to resolve issues before they erode user trust
Build processes that reduce repeat firefighting - if the same thing breaks twice, fix it permanently
Requirements
4-6 years in product management for data and analytics products, or AI/ML products
Prior experience as a data analyst, data scientist, data engineer, or similar technical role
Proficient in SQL - can write complex queries, troubleshoot performance issues, and evaluate whether a proposed data model will serve the use case
Can evaluate a data model and identify problems – familiar with star schema, normalization tradeoffs, and how schema design affects query performance
Familiar with ETL/ELT concepts and data pipeline architecture
Comfortable operating with incomplete information and competing priorities; able to engage credibly with engineering on technical tradeoffs
Strong communication skills; able to translate between technical and business audiences.
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.
Employee Assistance Program: An Employee Assistance program is available to all employees.
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