Principal Product Manager

Who are we?

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.

Role Summary

Lead the strategy, development, implementation, and lifecycle management of enterprise data and AI products that serve Equinix’s corporate functions - Finance, Corporate Strategy, Global Markets, Business Operations and the Digital Innovation Organization (DIO).

The role requires a combination of data and AI product management expertise, corporate finance and global markets understanding, working knowledge of enterprise data platforms, and strategic business acumen, with exposure to Equinix’s hyperscale data center business

The individual will serve as a trusted data and AI product partner to senior leaders across corporate functions and DIO, using data products, analytics, and AI to address complex business challenges, accelerate strategic initiatives, improve operational efficiency, and drive commercial growth

Key Responsibilities

Define data and AI product strategy: Define the vision, strategy, positioning, roadmap, and priorities for data and AI products serving Finance, Corporate Strategy, Global Markets, and Business Operations, aligned with business objectives, user needs, and DIO’s enterprise technology direction. Manage the full product lifecycle from conception and development through launch, adoption, and continuous enhancement

Lead product requirements and execution: Partner with business stakeholders across corporate functions to identify and prioritise requirements, and translate complex needs—such as financial planning and forecasting, management reporting, market and deal analytics, and operational performance tracking—into actionable product features and development plans. Collaborate with DIO data engineering, analytics, AI/ML, and platform teams to guide product design, development, QA, UAT, and release

Own product value and performance: Own business cases, cost-benefit assessments, resource planning, funding justification, and value realisation for data and AI products. Apply enterprise valuation frameworks to quantify expected financial and operational impact, secure required delivery resources, and track user adoption, data quality, model performance, and committed business outcomes

Manage data products and AI solutions: Treat data as a product by owning curated, trusted, and reusable data assets that provide a single source of truth across corporate functions. Identify and prioritise high-value AI use cases, such as forecasting, generative AI assistants, and automation of manual finance and operations workflows. Partner with DIO and data governance teams to ensure data quality, security, privacy, lineage, and responsible AI practices

Support domain-driven innovation: Leverage knowledge of corporate finance, corporate strategy, global markets, and Equinix’s hyperscale business to identify high-impact data and AI opportunities, shape product design, and translate business needs into prioritised roadmaps. Develop solutions that accelerate business processes, improve decision-making, and drive measurable value

Manage and influence senior leadership and stakeholders: Serve as a trusted data and AI product partner to senior leaders across Finance, Corporate Strategy, Global Markets, Business Operations, and DIO, building strong relationships, anticipating business needs, and influencing decisions. Present product visions, business cases, demos, and strategic recommendations to secure executive alignment and sponsorship

Lead cross-functional delivery with DIO: Engage business stakeholders, DIO 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 AI solutions, supported by change management and user enablement

Required Experience & Qualifications

• •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, with demonstrated experience leading complex cross-functional initiatives and partnering with senior business and technology leaders.
• •Strategic Thinking & Problem Solving: Strong ability to navigate ambiguity, anticipate business needs, identify high-impact opportunities, and translate complex challenges into clear priorities and actionable solutions

Product Implementation & Enhancement: Experience driving product deployment, user adoption, performance monitoring, and continuous improvement. Ability to evaluate product effectiveness, quickly incorporate user feedback, and enhance functionalities based on evolving business needs

Product Value & Commercial Ownership : Proven ability to develop product business cases, assess costs and benefits, estimate resource requirements, justify funding, and measure delivered business outcomes. Familiarity with enterprise valuation frameworks, ROI, payback analysis, and financial impact assessment

Executive presence and communications : Proven ability to build and sustain trusted relationships with senior executives (VP, SVP, EVP, etc.) and serve as a strategic digital product and transformation partner. Strong communication, presentation, and influencing skills, with the ability to articulate product vision, anticipate stakeholder needs, and secure leadership alignment without direct authority

Prior domain knowledge strongly preferred: Prior experience in hyperscale data centers, corporate strategy, finance, or global markets, including exposure to joint ventures, M&A, asset transactions, or business transformation strongly preferred. Ability to leverage domain knowledge to identify valuable digital product opportunities

Data Center commercial knowledge strongly preferred : Previous exposure to the commercial aspects of data center or adjacent industries such as telecommunications, including M&A, data center acquisitions or divestitures, commercial transactions, and customer migration. Ability to apply this experience to identify digital solutions that streamline commercial processes and accelerate business outcomes

Business and technical integration : Ability to bridge strategic business objectives and technical execution, with working knowledge of enterprise data platforms, analytics, and AI. Proven ability to collaborate with engineering teams and turn business priorities into scalable, practical solutions

Details on domain knowledge

Hyperscale data center knowledge: Prior experience in hyperscale data center businesses, with an understanding of the end-to-end hyperscale lifecycle, including JV formation, investment planning, lease management, rent roll reporting, and monetisation. Ability to identify opportunities for digital products, data, and AI to improve efficiency and decision-making to support Equinix’s hyperscaler business

Corporate Strategy & business transformation: Prior experience in corporate strategy or business transformation, preferably within the data center, telecommunications, technology infrastructure, or adjacent industries. Ability to connect enterprise strategic priorities with digital product opportunities and executable roadmaps

Finance, Global Markets & Corporate Development: Prior experience supporting corp