Senior BI Product Manager ID65844

AgileEngine

• $110K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of Product Management experience in Financial Systems or Revenue Operations within SaaS or tech environments.
  • Solid understanding of accounting terminology and revenue recognition standards, particularly ASC 606.
  • Exceptional communication skills for effective collaboration with product managers, finance, and legal leaders.
  • Proficient in validating pricing, order, and contract data for operational insights.
  • Strong process mapping and documentation skills, with experience in creating functional specs for technical teams.
  • Familiarity with ERP systems (Workday, NetSuite, SAP) and CPQ tools (Salesforce CPQ, Zuora, etc.).
  • Upper-intermediate proficiency in English.

Responsibilities

  • Build relationships with internal FinSys teams and finance leadership to identify operational friction points.
  • Connect operational pain points to business intelligence and AI opportunities for enhanced data-driven decisions.
  • Author clear product requirement documents, roadmaps, and business requirements for technical teams.
  • Ensure accuracy of complex financial processes in downstream data products.
  • Identify and address data flow challenges across ERP and CPQ systems.

Benefits

  • Opportunities for professional growth through mentorship and annual learning budget.
  • Flexible remote work options with adaptable hours to support work-life balance.
  • Engagement in meaningful projects utilizing modern technologies with global teams.
  • Supportive and collaborative workplace culture with recognition for contributions.
  • Access to well-being programs and tailored support based on location.
Full Job Description
Job Description
ABOUT THE ROLE

We are looking for a Senior BI Product Manager to act as the subject-matter expert across Quote-to-Cash and Order-to-Cash processes, connecting financial data to real business decisions. This person turns operational friction into data, analytics, and AI/ML opportunities, working with Sales, Legal, Accounting, and Product. Comfort with ERP and CPQ systems matters.

WHAT YOU WILL DO

- Build relationships across internal FinSys teams (Orders, Invoicing, Billing) and finance leadership to surface operational friction points.

- Connect operational pain points to BI, Machine Learning, and AI opportunities, uncovering the "what" and "why" behind financial data needs.

- Author clean PRDs, roadmaps, and non-technical business requirements, partnering closely with Technical Delivery Managers (TDMs) and engineering teams who architect the technical solutions.

- Ensure complex commercial and financial processes (quoting, deal structuring, billing, and revenue recognition) are accurately captured in downstream data products.

MUST HAVES

- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;

- 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 proactively reaching out to busy product managers, finance, and legal leaders to map processes and drive alignment.

- Proven ability to validate pricing, order, and contract data for troubleshooting, reporting, and building operational dashboards.

- Strong analytical, process mapping, and documentation skills, including experience defining non-technical functional specs for technical teams to execute.

- General understanding of ERPs (Workday, NetSuite, SAP) and CPQ/CLM tools (Salesforce CPQ, Zuora, Conga, Icertis, DocuSign CLM, Ironclad) and how their data flows into BI platforms.

- Upper-intermediate English level.

NICE TO HAVES

- Conceptual comfort with modern data stacks and the business applications of GenAI, LLMs, or predictive ML models within corporate finance.

- Prior experience in a high-volume marketplace or enterprise sales environment with complex deal structures.

- Background in contract analytics, obligation tracking, or process improvement methodologies (Lean, Six Sigma) applied to financial systems.

PERKS AND BENEFITS

- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget

- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews

- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm

- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands

- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized

- Well-being & support: access local well-being programs and people-focused support tailored to your location

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