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Equinix

Global data center, colocation, interconnection provider

Principal Product Manager

Technical Product ManagementPosted on Nov 7
Full-timeSingaporeNo salary listedHybrid

About the Job

Requirements

  • At least 10 years of progressive experience in data and AI product management, digital product management, enterprise data and analytics, business transformation, corporate strategy, finance, or related areas, including experience leading complex cross-functional initiatives and partnering with senior business and technology leaders.
  • Ability to navigate ambiguity, anticipate business needs, identify high-impact opportunities, and translate complex challenges into clear priorities and actionable solutions.
  • Experience driving product deployment, user adoption, performance monitoring, and continuous improvement, and incorporating user feedback to enhance functionality as business needs evolve.
  • Ability to develop product business cases, assess costs and benefits, estimate resource requirements, justify funding, and measure business outcomes; familiarity with enterprise valuation frameworks, return on investment, payback analysis, and financial impact assessment.
  • Ability to build trusted relationships with senior executives and serve as a strategic digital product and transformation partner, communicating product vision, anticipating stakeholder needs, and securing leadership alignment without direct authority.
  • Ability to bridge strategic business objectives and technical execution, with working knowledge of enterprise data platforms, analytics, and artificial intelligence, and ability to collaborate with engineering teams to turn business priorities into scalable, practical solutions.

Responsibilities

  • Lead the strategy, development, implementation, and lifecycle management of enterprise data and artificial intelligence products serving Finance, Corporate Strategy, Global Markets, Business Operations, and the Digital Innovation Organization.
  • Define product vision, strategy, positioning, roadmaps, and priorities aligned with business objectives, user needs, and enterprise technology direction, and manage the product lifecycle from conception through launch, adoption, and continuous enhancement.
  • Partner with corporate-function stakeholders to identify and prioritize requirements, and translate needs such as financial planning and forecasting, management reporting, market and deal analytics, and operational performance tracking into product features and development plans.
  • Collaborate with data engineering, analytics, artificial intelligence and machine learning, and platform teams to guide product design, development, quality assurance, user acceptance testing, and release.
  • Own product business cases, cost-benefit assessments, resource planning, funding justification, and value realization; apply enterprise valuation frameworks to quantify financial and operational impact, secure delivery resources, and track user adoption, data quality, model performance, and business outcomes.
  • Own curated, trusted, reusable data assets that provide a single source of truth across corporate functions.
  • Identify and prioritize high-value artificial intelligence use cases, including forecasting, generative artificial intelligence assistants, and automation of manual finance and operations workflows.
  • Partner with the Digital Innovation Organization and data governance teams to ensure data quality, security, privacy, lineage, and responsible artificial intelligence practices.
  • Use knowledge of corporate finance, corporate strategy, global markets, and the hyperscale data center business to identify high-impact data and artificial intelligence opportunities, shape product design, and translate business needs into prioritized roadmaps.
  • Develop solutions that accelerate business processes, improve decision-making, and generate measurable value.
  • Serve as a trusted data and artificial intelligence product partner to senior leaders across Finance, Corporate Strategy, Global Markets, Business Operations, and the Digital Innovation Organization; build relationships, anticipate business needs, and influence decisions.
  • Present product visions, business cases, demonstrations, and strategic recommendations to secure executive alignment and sponsorship.
  • Engage business stakeholders, engineering and architecture teams, and solution partners to identify user needs, navigate ambiguity, and align competing priorities across functions.
  • Evaluate technical and build-versus-buy options, guide product development, and deliver scalable, secure data and artificial intelligence solutions supported by change management and user enablement.

Desired Qualifications

  • Prior experience in hyperscale data center businesses, corporate strategy, finance, or global markets, including exposure to joint ventures, mergers and acquisitions, asset transactions, or business transformation.
  • Previous exposure to the commercial aspects of data center or adjacent industries such as telecommunications, including mergers and acquisitions, data center acquisitions or divestitures, commercial transactions, and customer migration.
  • Experience in hyperscale data center businesses and understanding of the end-to-end hyperscale lifecycle, including joint venture formation, investment planning, lease management, rent roll reporting, and monetization.
  • Experience in corporate strategy or business transformation, preferably within data center, telecommunications, technology infrastructure, or adjacent industries.
  • Experience supporting corporate finance, enterprise planning, global markets, or corporate development. Hands-on exposure to market expansion, mergers and acquisitions, data center asset acquisitions or divestitures, customer migration, or post-transaction integration is highly valued.

About the Company

Equinix

Global data center, colocation, interconnection provider

Equinix provides data center space, colocation, and interconnection services to businesses worldwide. Customers rent space to house servers and use interconnected networks inside Equinix data centers, enabling low-latency data transfer between networks and cloud providers. Unlike competitors that focus only on space, Equinix combines a global footprint with a large ecosystem of over 10,000 customers for direct, high-speed connections. Its goal is to enable fast, reliable digital operations and support customers’ digital transformation and multi-cloud strategies.

Company size
10,001+
Company stage
IPO
Headquarters
Redwood City, CA
Founded
1998

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