Senior Manager, Finance Data Platform

Our Company Explore how you can contribute at AmeriLife . For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement. Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry. Job Summary AmeriLife is seeking a Senior Manager, Finance Data Platform to lead the engineering, delivery, operations, and modernization of our enterprise finance data ecosystem. Reporting directly to the Vice President of Enterprise Data & AI Platforms, this leader will have responsibility for the Finance Data Platform (FDM) and the broader data capabilities supporting Finance, Accounting, FP&A, Commissions, Banking, General Ledger, financial reporting, attribution, reconciliation, and related financial processes. This is a hands-on technology leadership role requiring a strong combination of enterprise data platform experience, financial data domain knowledge, engineering depth, and people leadership. The Senior Manager will lead a team of engineers and finance data specialists while working closely with Finance stakeholders to translate complex financial requirements into reliable, scalable, and well-governed data solutions. A key mandate for this role will be evolving existing FDM capabilities into a modern, enterprise-grade Finance Data Platform built on Databricks, while maintaining the responsiveness required to support fast-moving Finance priorities and business-critical operations. Job Description Key Responsibilities Finance Data Platform Leadership - Lead the engineering, delivery, operations, and ongoing evolution of the Finance Data Platform. - Provide day-to-day leadership for engineers, finance data specialists, and partner resources supporting FDM and related finance data capabilities. - Establish clear priorities across Finance enhancements, strategic initiatives, production issues, reconciliations, data quality, technical debt, and platform modernization. - Build an operating model that supports rapid Finance-driven changes while maintaining engineering discipline, reliability, governance, and appropriate controls. - Partner closely with Finance, Accounting, FP&A, Commissions, Data Architecture, Data Engineering, and enterprise technology teams. - Translate complex Finance requirements and business rules into scalable technical solutions and executable engineering priorities. - Establish clear accountability across engineering, functional expertise, QA, delivery, and operational support. Finance & FDM Domain - Develop deep expertise in the existing FDM ecosystem, including its business processes, data models, transformations, integrations, dependencies, and downstream consumers. - Lead data capabilities supporting: - General Ledger and journal entries - P&L and financial performance - FP&A, budgeting, planning, and forecasting - Commissions and compensation - Banking and cash transactions - Revenue and expense attribution - Carrier, producer, policy, contract, and product financial activity - Entity, company, product, and organizational attribution - Financial reconciliation and controls - Management and statutory financial reporting - Partner with Finance stakeholders to understand calculation logic, mappings, hierarchies, allocations, attribution rules, reconciliation requirements, and reporting dependencies. - Ensure financial data can be traced and reconciled from source systems through transformation and downstream consumption. - Support integrations with financial planning, commission, accounting, reporting, and enterprise performance management platforms. Databricks & Enterprise Data Engineering - Lead the modernization and migration of Finance data capabilities onto the enterpriseDatabricks Lakehouseplatform. - Design and oversee scalable ingestion,