Senior Value Advisor

Equinix•Toronto, ON

4d•$118,000 - $194,000•Onsite

About The Position

The Senior Value Advisor at Equinix is a specialized individual contributor responsible for supporting the development and delivery of ROI models, business cases, industry insights, and value narratives that demonstrate the measurable impact of Equinix’s platform. This role blends strong analytical skills, structured problem-solving, industry awareness, and customer-facing communication to help customers quantify the strategic and financial benefits of their digital transformation and AI initiatives. The ideal candidate brings consulting or analytical experience, a builder mindset, and the ability to create structured, scalable tools and methodologies that support teams across the organization. This individual will collaborate closely with Marketing, Sales, Product, Industry, and Advisory teams to translate customer requirements into credible, defensible value frameworks.

Requirements

7+ years of experience in management consulting, strategy, analytics, value engineering, or similar roles
Proven experience contributing to customer-facing or strategy-driven projects, ideally involving digital transformation, modernization, or AI adoption
Strong business and industry acumen with the ability to analyze ambiguous problem environments and develop structured frameworks
Vertical exposure to capital markets, life sciences, or industrial sectors (oil & gas) preferred
Demonstrated experience presenting insights, analyses, or recommendations to internal or external stakeholders
Strong proficiency in Excel-based financial modeling, scenario analysis, and ROI/TCO development
Ability to communicate complex concepts in clear, compelling, executive-ready narratives
Strong facilitation, communication, and presentation skills
Ability to develop structured, reusable tools, templates, and frameworks
Comfortable operating in ambiguity and applying analytical rigor to new or evolving problem spaces
Understanding of how AI and digital modernization drive measurable business value

Responsibilities

Design, build, and maintain the library of ROI, TCO, and business case models used across the Value Advisory team
Architect scalable, modular Excel-based models with clean assumption layers, scenario logic, and sensitivity analysis
Build reusable templates, calculators, and frameworks that advisors can rapidly tailor to specific customer engagements
Maintain version control, documentation, and change management for the model library
Use AI tools to accelerate model development, prototype frameworks, and automate repetitive analytical work
Identify opportunities to embed AI into the Value Advisory team's workflow — from drafting value narratives to summarizing customer inputs to generating first-draft scenario analyses
Build AI-aware tooling: models, templates, and frameworks designed to be used effectively alongside AI assistants by the advisory team
Stay current on emerging AI capabilities relevant to value engineering, financial modeling, and consulting workflows
Bring familiarity with industries such as capital markets, life sciences, or industrial sectors to support vertical-specific value positioning
Analyze industry drivers, customer challenges, and ecosystem trends to identify relevant value levers and differentiate Equinix’s platform
Work with Industry and Product teams to ensure value narratives remain aligned to market realities and customer priorities
Develop and refine the methodologies the Value Advisory team uses to quantify customer value
Translate ambiguous value drivers (digital transformation, AI adoption, infrastructure modernization) into structured, defensible analytical frameworks
Incorporate benchmarks, industry data, and platform-specific value levers into reusable assets
Partner with customer-facing value advisors to understand recurring modeling needs and translate them into shared tools
Provide modeling support and quality review on complex or strategic engagements
Build internal documentation, training materials, and enablement assets that help advisors use the tools effectively
Gather feedback from the advisory team on tool usability and gaps
Maintain a roadmap of methodology and tooling improvements
Explore opportunities to bring in additional tooling (BI platforms, modeling platforms, automation) where it improves scale or quality