Product Manager II – FP&A / Microsoft Fabric

ZoomInfo Technologies LLC•Vancouver, WA

10d•$80,500 - $126,500•Hybrid

About The Position

You will own the product roadmap, operational support, and ongoing delivery for FP&A technology capabilities powered by Microsoft Fabric. You will partner with FP&A, Finance, Data & Analytics, and Engineering teams to improve planning, forecasting, management reporting, and financial-data usability. You will translate business needs into prioritized product requirements, lead cross-functional delivery, ensure reliable day-to-day operation of finance data products and reporting, and identify practical AI and automation opportunities that improve FP&A efficiency and insight.

Requirements

Bachelor’s degree in Information Systems, Finance, Accounting, Computer Science, Business, or a related field.
3+ years of experience in product management, finance systems, business systems analysis, data/analytics, or enterprise applications.
Hands-on experience with Microsoft Fabric and Power BI, including data pipelines, semantic models, reporting datasets, dashboards, or related analytics capabilities.
Experience supporting FP&A, corporate planning, Finance, or Accounting processes.
Understanding of FP&A processes including annual planning, budgeting, forecasting, actuals, variance analysis, and management reporting.
Ability to convert business needs into product requirements, user stories, workflows, and prioritized roadmaps.
Experience working with cross-functional business, data, engineering, and finance systems teams.
Understanding of data modeling, source-to-target mapping, data quality, security, governance, and financial-data reconciliation.
Strong analytical, operational problem-solving, stakeholder-management, and written/verbal communication skills.

Nice To Haves

Experience with Microsoft Fabric components such as OneLake, Lakehouse, Warehouse, Data Factory, data pipelines, semantic models, and Power BI.
Experience integrating SAP, Salesforce, Workday, billing, or other financial and operational source systems.
Experience supporting SaaS planning metrics, including ARR, bookings, revenue, retention, headcount, operating expenses, and margin.
Familiarity with financial controls, SOX-sensitive processes, and audit or reconciliation requirements.
Knowledge of SQL, DAX, Power Query, dimensional modeling, or data transformation concepts.
Experience with Anaplan, Workday Adaptive Planning, Oracle EPM, SAP Analytics Cloud Planning, IBM Planning Analytics, or comparable enterprise planning tools.
Experience using Jira and Confluence in an agile product-delivery environment.
Microsoft Fabric, Power BI, Azure, finance, accounting, or product-management certifications.
Identify and prototype AI-enabled FP&A improvements using governed financial data.
Ensure AI solutions maintain appropriate data access, traceability, controls, and human review.
Stay current on Microsoft Fabric, Power BI, Copilot, and enterprise-planning technology trends.

Responsibilities

Own and prioritize the roadmap for FP&A capabilities in Microsoft Fabric, including budgeting, forecasting, management reporting, variance analysis, and executive dashboards.
Provide operational product support for Fabric-based FP&A data products, reports, dashboards, semantic models, and integrations; triage issues, coordinate resolution, and communicate status to stakeholders.
Partner with Finance stakeholders to define business outcomes, requirements, KPIs, user stories, process flows, and acceptance criteria.
Lead design for trusted financial data products, semantic models, reporting datasets, and Power BI dashboards.
Collaborate with Data Engineering and Analytics teams on Microsoft Fabric architecture, data pipelines, data quality, lineage, security, governance, and release management.
Define and manage integration requirements between Microsoft Fabric and core enterprise systems, such as SAP S/4HANA, Salesforce, Workday, billing platforms, and other financial or operational source systems.
Modernize finance reporting by reducing manual spreadsheet processes and creating governed, self-service reporting.
Establish financial-data reconciliation, controls, documentation, and support processes to ensure accuracy, auditability, and dependable business operations.
Manage backlog, dependencies, delivery risks, release planning, testing, stakeholder communication, adoption, and continuous improvement.
Identify AI and automation use cases, such as variance explanations, anomaly detection, forecast-driver analysis, narrative reporting, and financial-data-quality monitoring.