[Hiring] Senior Manager, Finance Data Platform @AmeriLife

Role Description

AmeriLife is seeking a Senior Manager, Finance Data Platform to lead the engineering, delivery, operations, and modernization of our enterprise finance data ecosystem. 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.

• 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.

Qualifications

• 10+ years of experience across data engineering, enterprise data platforms, data architecture, financial data systems, or related disciplines.
• 3+ years of experience leading data engineering, data platform, or financial data teams.
• Demonstrated experience designing, building, or operating large-scale enterprise data platforms supporting business-critical workloads.
• Strong hands-on experience with Databricks, Apache Spark, Delta Lake, or comparable modern cloud data technologies.
• Advanced SQL skills with strong knowledge of data engineering, ETL/ELT, integration, pipeline design, and performance optimization.
• Strong experience with cloud platforms such as Azure or AWS.
• Strong understanding of financial data and processes, including multiple areas such as P&L, FP&A, General Ledger, commissions, banking, journal entries, financial reporting, reconciliation, allocations, attribution, planning, and forecasting.
• Experience supporting data environments where accuracy, auditability, lineage, reconciliation, and financial controls are critical.
• Strong knowledge of enterprise data modeling, dimensional modeling, and modern lakehouse architectures.
• Experience managing production data workloads and resolving complex data, pipeline, reconciliation, and platform issues.
• Experience implementing automated testing, monitoring, data quality, CI/CD, and production controls.
• Demonstrated ability to translate complex Finance requirements into scalable data solutions.
• Proven ability to lead teams operating across strategic initiatives, rapid enhancements, and business-critical production responsibilities.
• Strong communication and stakeholder-management skills with the ability to partner effectively with Finance and senior technology leaders.

Requirements

• Experience building, leading, or modernizing a Finance Data Platform, Finance Data Mart, Finance Data Warehouse, or comparable financial data ecosystem.
• Experience migrating legacy SQL Server, SSIS, ADF, stored procedure, or traditional data warehouse workloads to Databricks or another cloud-native platform.
• Experience with commission and incentive compensation platforms such as Varicent or comparable technologies.
• Experience with financial planning, consolidation, and performance management platforms such as OneStream or similar solutions.
• Experience within insurance, financial services, distribution, commissions, or other transaction-intensive industries.
• Experience working with master and reference data involving companies, legal entities, carriers, products, producers, policies, contracts, accounts, and organizational hierarchies.
• Familiarity with Data Vault 2.0, dimensional modeling, medallion architecture, Unity Catalog, data lineage, and modern data governance practices.
• Experience managing blended teams consisting of employees, contractors, and strategic delivery partners.
• Databricks certification and/or relevant Azure or AWS certifications preferred.

Benefits

• A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.

Compensation

• Salary: $150,000
• This role may be eligible for a discretionary annual bonus.
• Salary offers will vary commensurate with experience, education, skills, and training.