Product Manager II - FP&A / Microsoft Fabric
Own the roadmap and operational delivery of Microsoft Fabric-powered FP&A capabilities, partnering with Finance, Data, and Engineering teams on planning, reporting, integrations, and governed financial data. Requires 3+ years of relevant experience, a bachelor’s degree, and hands-on Microsoft Fabric and Power BI expertise.
About the job
Responsibilities
- Own and prioritize the Microsoft Fabric roadmap for FP&A capabilities, including budgeting, forecasting, management reporting, variance analysis, and executive dashboards.
- Provide operational support for Fabric-based FP&A data products, reports, dashboards, semantic models, and integrations; triage issues and coordinate resolution.
- Partner with Finance stakeholders to define outcomes, requirements, KPIs, user stories, process flows, and acceptance criteria.
- Lead the design of financial data products, semantic models, reporting datasets, and Power BI dashboards.
- Collaborate with Data Engineering and Analytics teams on Fabric architecture, data pipelines, data quality, lineage, security, governance, and release management.
- Define integration requirements between Microsoft Fabric and enterprise systems such as SAP S/4HANA, Salesforce, Workday, billing platforms, and other source systems.
- Modernize finance reporting by reducing spreadsheet-based processes and enabling governed self-service reporting.
- Establish reconciliation, controls, documentation, and support processes for accurate, auditable financial data.
- Manage backlog, dependencies, delivery risks, release planning, testing, stakeholder communication, adoption, and continuous improvement.
- Identify AI and automation use cases, including variance explanations, anomaly detection, forecast-driver analysis, narrative reporting, and financial data-quality monitoring.
- Prototype AI-enabled FP&A improvements using governed financial data while maintaining access controls, traceability, human review, and appropriate governance.
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 annual planning, budgeting, forecasting, actuals, variance analysis, and management reporting.
- Ability to translate 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.
Preferred Qualifications
- 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 such as 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.
Skills
Microsoft Fabric, Power BI, Onelake, Lakehouse, Data Factory, SQL, Dax, Power Query, Sap S/4Hana, Salesforce, Workday, Azure, Jira, Confluence, Dimensional Modeling
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