AmeriLife
Vice President Of Enterprise Data Platform
AmeriLife is seeking a strategic and technically adept Vice President of Enterprise Data Platform to lead the design, delivery, and operation of its enterprise data ecosystem. This role owns the platform architecture, data modeling standards, data quality and observability frameworks, and delivery practices that support SOX-grade controls and M&A scalability. The VP will lead a high-performing team of data engineers and architects, fostering a culture of innovation, accountability, and continuous improvement. Key responsibilities include: Architecting the enterprise data platform Building scalable pipelines Establishing enterprise data standards Implementing SOX-grade controls Creating a 3rd party data hub Partnering across integration & analytics Enabling secure access & hierarchies Powering advanced analytics & AI Partnering on data governance Mentoring and upskilling Migrating from on-prem Cost optimization and performance management Required qualifications include: 10+ years leading data engineering and architecture for complex, multi-system enterprises Hands-on expertise with Spark and PySpark for distributed compute, ETL optimization, and scalable ML data pipelines Experience with modern data platforms such as Databricks or Microsoft Fabric for efficient pipelines and analytics enablement Proven success delivering governed data platforms and semantic layers at scale Deep expertise in dimensional modeling (SCD2, point-in-time facts, conformed dimensions) Experience with data quality frameworks, observability tooling, schema registry, and data contracts Strong background implementing SOX-grade controls and sensitive-data protection standards (PII discovery, classification, encryption/masking, access controls, audit logging) Demonstrated leadership managing multi-disciplinary engineering teams and vendor partners Preferred qualifications include: Experience in insurance distribution or financial services, including producer hierarchies, commissions, and carrier data integration Familiarity with API integration platforms such as MuleSoft Exposure to AI/ML enablement within enterprise data platforms, including feature store design and operationalization Experience with FinOps practices and workload governance at scale Equal Employment Opportunity Statement We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive. Americans with Disabilities Act (ADA) Statement We are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. Pay Transparency Statement We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request. Background Screening Statement Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.
AmeriLife is seeking a strategic and technically adept Vice President of Enterprise Data Platform to lead the design, delivery, and operation of its enterprise data ecosystem. This role owns the platform architecture, data modeling standards, data quality and observability frameworks, and delivery practices that support SOX-grade controls and M&A scalability. The VP will lead a high-performing team of data engineers and architects, fostering a culture of innovation, accountability, and continuous improvement. Key responsibilities include: Architecting the enterprise data platform Building scalable pipelines Establishing enterprise data standards Implementing SOX-grade controls Creating a 3rd party data hub Partnering across integration & analytics Enabling secure access & hierarchies Powering advanced analytics & AI Partnering on data governance Mentoring and upskilling Migrating from on-prem Cost optimization and performance management Required qualifications include: 10+ years leading data engineering and architecture for complex, multi-system enterprises Hands-on expertise with Spark and PySpark for distributed compute, ETL optimization, and scalable ML data pipelines Experience with modern data platforms such as Databricks or Microsoft Fabric for efficient pipelines and analytics enablement Proven success delivering governed data platforms and semantic layers at scale Deep expertise in dimensional modeling (SCD2, point-in-time facts, conformed dimensions) Experience with data quality frameworks, observability tooling, schema registry, and data contracts Strong background implementing SOX-grade controls and sensitive-data protection standards (PII discovery, classification, encryption/masking, access controls, audit logging) Demonstrated leadership managing multi-disciplinary engineering teams and vendor partners Preferred qualifications include: Experience in insurance distribution or financial services, including producer hierarchies, commissions, and carrier data integration Familiarity with API integration platforms such as MuleSoft Exposure to AI/ML enablement within enterprise data platforms, including feature store design and operationalization Experience with FinOps practices and workload governance at scale Equal Employment Opportunity Statement We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive. Americans with Disabilities Act (ADA) Statement We are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. Pay Transparency Statement We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request. Background Screening Statement Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.