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Enterprise Data Product Lead​/Business Partner, Finance Function Director

Job in Toronto, Ontario, C6A, Canada
Listing for: Equinix
Full Time position
Listed on 2026-01-10
Job specializations:
  • Finance & Banking
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Position: Enterprise Data Product Lead / Business Partner, Finance Function Director

Overview

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 career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact.

Job Summary:

Our Finance data products serve as the backbone for strategic planning, financial operations, and performance management across the enterprise. These products unify financial data from core systems (ERP, EPM, CPQ/CRM, BI tools) and increasingly leverage AI to automate and elevate financial insight. The scope includes enterprise data platforms, finance-grade semantic models, financial planning & forecasting engines, profitability modeling, cash flow analytics, dashboards, and AI-driven forecasting and anomaly detection.

These solutions help Finance improve forecasting accuracy, accelerate close and reporting cycles, optimize working capital, mitigate risk, improve cost transparency, ensure regulatory compliance, and strengthen financial governance. Over time, we aspire to commercialize these capabilities with differentiated data products and solutions for customers.

We are looking for a Director of Data Product Management—Finance to lead our Finance data & analytics product strategy and roadmap. This role partners with Finance and business leadership to understand strategic priorities, operating rhythms, and pain points such as fragmented data, manual reconciliations, spreadsheet overload, forecast bias, and limited scenario planning. You will translate these into high-impact data products that increase forecast precision, automate operational reporting, enable real-time insights, and unlock finance’s role as a strategic advisor to the business.

The role will drive resource prioritization, ROI-based roadmap decisioning, and collaboration with AI, Data Science, and Engineering teams to deliver scalable, secure, and resilient Finance-grade data solutions.

Responsibilities
  • Build deep trusted advisor relationships with CFO staff, FP&A, Controllership, Tax, Treasury, and Audit teams by understanding their strategic objectives, operating cadence, and financial processes (e.g., budgeting, forecasting, financial close, management reporting)
  • Translate Finance pain points—such as forecast drift, margin visibility, multi-dimensional cost allocations, capital planning, risk governance, and reporting automation—into data product solutions
  • Set stakeholder expectations with transparency and clarity; proactively balance quick win delivery and foundational platform efforts
  • Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines problem-solving and product-specific expertise
  • Thought leadership on outside-in leading industry use cases:
  • Stay current on Finance-specific AI and analytics trends—AI-driven forecasting, predictive cash flow modeling, margin waterfall automation, anomaly detection, ESG reporting, tax scenario modeling
  • Introduce best-in-class external practices for digital finance transformation, autonomous planning, and governance frameworks (SOX, GDPR, data privacy)
  • Influence finance strategy by demonstrating how AI and analytics can drive working capital efficiency, optimized Cap Ex planning, cost-to-serve transparency, and improved capital allocation
  • Data product strategy, roadmap, and management:
  • Develop a Data Product Strategy for functional stakeholders, aligned with strategic business goals and priorities
  • Lead development of finance-grade semantic data models (P&L, balance sheet, cash flow, margin waterfall, cost center hierarchy) and integrate with enterprise Data Platform
  • Productize analytics services such as AI-based forecasting engines, financial planning datasets, profitability dashboards, automated close insights, management reporting packs, and governance-enabled data catalogs
  • Design products optimized for ease of use, forecast accuracy, automation of manual processes, secure financial workflows, audit readiness, and executive-grade insights
  • Manage budgets…
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