Senior BI Product Manager, Finance Ops (Remote)

1801 Haleon Argentina S.A.

Rosario

Remote

ARS 185,331,000 - 277,997,000

Full time

2 days ago
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Job summary

AgileEngine in Rosario, Argentina, seeks a Senior BI Product Manager to lead data initiatives across Quote-to-Cash and Order-to-Cash, translating financial data into actionable business decisions. You will work with Sales, Legal, Accounting and Product, with emphasis on ERP and CPQ systems.

You will transform operational friction into dashboards, analytics, and ML opportunities, partnering with FinSys teams to map processes and drive alignment through data-driven insights.

Qualifications

  • 5+ years of Product Management experience within Financial Systems, FinSys BI, Order-to-Cash, or Revenue Operations in SaaS or tech environments.
  • Solid grasp of core accounting terminology, the contract lifecycle, billing, entitlement, and downstream revenue recognition (including ASC 606 impacts).
  • Exceptional communication skills and high energy, with genuine comfort reaching out to finance and legal leaders to map processes and drive alignment.
  • Proven ability to validate pricing, order, and contract data for reporting and dashboards.

Responsibilities

  • Build relationships across internal FinSys teams and finance leadership to surface operational friction points.
  • Connect operational pain points to BI, ML and AI opportunities, uncovering what data is needed and why.

Skills

Product management
Financial systems knowledge
ERP/CPQ familiarity
Data-driven analytics
Stakeholder communication

Tools

Workday ERP
NetSuite
SAP
Salesforce CPQ
Zuora
Conga
Icertis
DocuSign CLM
Ironclad

Job description

AgileEngine in Rosario, Argentina, seeks a Senior BI Product Manager to lead data initiatives across Quote-to-Cash and Order-to-Cash, translating financial data into actionable business decisions. You will work with Sales, Legal, Accounting and Product, with emphasis on ERP and CPQ systems.

You will transform operational friction into dashboards, analytics, and ML opportunities, partnering with FinSys teams to map processes and drive alignment through data-driven insights.

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