Product Manager - Finance Data & Analytics

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.

Job Summary

The Product Manager will support Finance Data & Analytics by designing, developing, and managing the lifecycle of Finance-focused data products from concept through delivery, adoption, and continuous improvement. This role translates Finance business needs into clear product requirements, partners cross-functionally with engineering and business stakeholders, and helps deliver scalable analytics, reporting, and BI capabilities that improve decision-making and operational efficiency.

The ideal candidate combines product management discipline with financial knowledge, data analytics experience, SQL/technical capability, and a strong self-starter mindset. This role requires someone who can ramp quickly, operate in a fast-paced environment, and manage product development end to end while staying closely aligned with Finance stakeholders and technology teams.

Key Responsibilities

Product Lifecycle Management

• Manage Finance data product development from discovery and requirements through delivery, UAT, adoption, and ongoing enhancement.

• Identify improvements to existing product processes and develop a strong understanding of related business processes, data flows, and technology dependencies.

Product Strategy, Vision, and Roadmap

• Support product strategy and roadmap development by translating Finance stakeholder needs into prioritized product capabilities.

• Complete ad-hoc assignments that help shape product direction, backlog priorities, and delivery sequencing.

Market, Business, and Customer Analysis

• Research business needs, stakeholder pain points, reporting gaps, and opportunities to improve Finance data products and analytics outcomes.

• Prepare analysis and recommendations related to financial position, operational needs, and product value.

Business Case and Value Definition

• Collaborate on business cases, opportunity reviews, and financial models with more senior team members and Finance stakeholders.

• Define measurable success criteria and product value drivers, including adoption, efficiency, quality, and stakeholder impact.

Data Analytics and BI Enablement

• Use data analytics to define metrics, interpret trends, identify insights, and inform product decisions.

• Partner with BI, analytics, and engineering teams to support dashboards, reporting, semantic layer needs, and self-service analytics capabilities.

• BI capability is a plus, including experience with dashboards, reporting tools, semantic layers, data visualization, or self-service analytics.

Technical Partnership and SQL

• Apply SQL experience and technical background to partner effectively with data engineering, analytics, and business teams.

• Help clarify data requirements, validate logic, support UAT, and communicate technical concepts in business-friendly language.

Backlog Prioritization and Delivery Execution

• Support backlog refinement, requirements elaboration, prioritization, dependency tracking, and delivery readiness.

• Collaborate closely with technology teams to ensure requirements are actionable, testable, and aligned to business outcomes.

Test Case Definition and UAT Coordination

• Refine allowable configurations, define test cases, coordinate UAT, validate outputs, and support stakeholder sign-off.

• Document decisions, open questions, risks, and follow-up actions to drive alignment and delivery transparency.

Stakeholder Management and Cross-Functional Collaboration

• Manage stakeholder expectations within and across Finance, data engineering, analytics, operations, and other cross-functional teams.

• Proactively include the right stakeholders, communicate clearly, and support training or enablement where needed.

Qualifications and Ramp Expectations

• 5+ years of relevant experience preferred.

• Bachelor's degree preferred.

• Financial acumen and working knowledge of Finance business processes, with the ability to translate Finance needs into product requirements and data solutions.

• Hands-on SQL experience and a strong technical background.

• AI data product solutions experience

• Data analytics experience, including defining metrics, interpreting trends, and using data to inform decisions.

• BI capability is a plus, including exposure to dashboards, reporting tools, semantic layers, or self-service analytics.

• Self-learner and self-starter who can ramp quickly, take ownership, and operate independently with appropriate guidance.

• Comfortable working in a fast-paced environment with shifting priorities, cross-functional dependencies, and delivery timelines.