Leading the Enterprise Product Management team focusing on AI enabled products at Morgan Stanley. Collaborating with technology and governance frameworks for product lifecycle and strategy alignment.
About the role
- 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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