Product Manager II – FP&A / Microsoft Fabric
About the role
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.
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.
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.
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, 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.
AI / Emerging Tech
- 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.
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.