2052 BI Product Manager - Financial Market

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Brazil
Remote
Senior level
Digital Media • Consulting
The Role
Owns financial data and BI product strategy across Quote-to-Cash and Order-to-Cash processes. The role identifies operational gaps, translates finance and revenue lifecycle needs into PRDs and roadmaps, validates pricing and contract data, and develops dashboards and AI/ML analytics opportunities. It partners with Sales, Legal, Accounting, Finance, Product, and data engineering teams to improve downstream reporting and decision-making.
Summary Generated by Built In

📌 Position: BI Product Manager - Financial Market
Location: Remote from LATAM
Contract Type: Full-time vendor (Direct contract with Inallmedia.com)
Time Zone Alignment: CST ±2 hours

🧭 About Inallmedia.com

Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.

🚀 Project Overview

This role embeds within a core Financial Data and Business Intelligence product team, serving as the subject-matter expert across Quote-to-Cash (Q2C) and Order-to-Cash (O2C) domains for an enterprise platform.
Acting with a proactive "hunter" mindset at the intersection of Sales, Legal, Accounting, and Product, you will identify operational friction points across the revenue lifecycle and convert them into high-impact data products, automated BI dashboards, and enterprise AI/ML analytics solutions. You will play a pivotal role in shaping financial data strategy to optimize downstream decision-making.

🔍 Key Responsibilities
  • Stakeholder Outreach & Gap Mapping: Actively build relationships across internal Financial Systems (FinSys) teams—including Orders, Invoicing, Billing, Legal, and Finance leadership—to identify process gaps and map operational friction points.
  • Data Product Strategy & Discovery: Connect operational pain points directly to Business Intelligence (BI), Machine Learning (ML), and Generative AI opportunities, articulating the business rationale behind financial data needs.
  • Requirements & Specifications Authoring: Author clear Product Requirement Documents (PRDs), functional specifications, and strategic roadmaps, translating complex business needs into non-technical requirements for Technical Delivery Managers (TDMs) and data engineering teams.
  • Cross-Domain Process Alignment: Ensure complex Quote-to-Cash (Q2C) and Order-to-Cash (O2C) processes—including quoting, deal structuring, billing, entitlement, and revenue recognition—are accurately modeled within downstream data and analytics products.
  • Data Validation & Reporting: Validate pricing, order, and contract data to build operational dashboards, troubleshoot data discrepancies, and support core enterprise business reporting.
💡 Must-Have Skills
  • 5+ Years of FinSys PM Experience: Solid background in Product Management within Financial Systems (FinSys BI), Order-to-Cash (O2C), Quote-to-Cash (Q2C), or Revenue Operations in SaaS/Tech environments.
  • Financial & Accounting Expertise: Deep understanding of core accounting concepts, billing systems, entitlements, contract lifecycles, and downstream revenue recognition rules (specifically ASC 606 impacts).
  • System Data Flows: Strong understanding of how enterprise data flows from ERP platforms (Workday, NetSuite, SAP) and CPQ/CLM tools (Salesforce CPQ, Zuora, Conga, Icertis, DocuSign CLM, Ironclad) into centralized BI platforms.
  • Analytical & Functional Design Skills: Proven track record in data validation, process mapping, user storytelling, and writing clear functional requirements (PRDs).
  • Cross-Functional Communication: High-energy, proactive approach to engaging busy finance, legal, product, and sales stakeholders to align on process maps and data requirements.
  • Agile & Remote Experience: Demonstrated experience working effectively in Agile teams and remote, distributed environments.
  • Fluent English: Native or professional bilingual fluency for all daily written and spoken communication.
🌟 Nice-to-Have Skills
  • Modern Data & AI Literacy: Conceptual understanding of modern data stack architecture and practical business applications of GenAI, LLMs, or predictive ML models within corporate finance.
  • High-Volume SaaS/Marketplace Experience: Previous experience working within high-volume marketplaces or enterprise sales operations handling complex deal structures.
  • Contract Analytics & Process Optimization: Experience in contract analytics, obligation tracking, or process improvement frameworks (Lean, Six Sigma) applied to financial platforms.
🌐 Time Zone & Collaboration

The role requires close collaboration with global teams aligned to CST (CST ±2 hours). Flexibility to overlap standard business hours with US time zones is expected. All contract management and operations will be handled directly by Inallmedia.com.

💬 Language

All interviews, technical documentation, stakeholder meetings, and daily team communications will be conducted in English.

#LI

Skills Required

  • 5+ years of Product Management experience in Financial Systems, FinSys BI, Order-to-Cash, Quote-to-Cash, or Revenue Operations within SaaS or technology environments
  • Deep understanding of accounting concepts, billing systems, entitlements, contract lifecycles, and ASC 606 revenue recognition impacts
  • Understanding of enterprise data flows from ERP platforms and CPQ or CLM tools into centralized BI platforms
  • Experience with data validation, process mapping, user storytelling, and writing product requirements documents and functional specifications
  • Strong cross-functional communication skills with finance, legal, product, and sales stakeholders
  • Experience working in Agile teams and remote, distributed environments
  • Fluent English, with native or professional bilingual fluency for written and spoken communication
  • Conceptual understanding of modern data stack architecture and business applications of Generative AI, LLMs, or predictive machine learning in corporate finance
  • Experience in high-volume marketplaces or enterprise sales operations with complex deal structures
  • Experience with contract analytics, obligation tracking, or Lean and Six Sigma process improvement frameworks
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The Company
HQ: London
208 Employees
Year Founded: 2013

What We Do

In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries. We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality. At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution. Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies. Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout. This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients. We're hiring! Email us your CV: [email protected] Contact Us: [email protected]

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