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Nationwide

Sells insurance, annuities and retirement plans

Director – Data & AI Solutions - Financial Services, Actuarial

Data Management +1Confirmed live in the last 24 hours
Full-time$122k - $214k

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, information systems, or a related technical discipline is highly preferred.
  • At least 10 years of hands-on experience in data architecture, data engineering, analytics, and enterprise solution architecture.
  • At least 5 years designing and implementing cloud-native modern data platforms using Snowflake, Databricks, and AWS.
  • At least 3 years delivering artificial intelligence, machine learning, generative artificial intelligence, or agentic artificial intelligence solutions into production environments.
  • Proven experience leading enterprise-scale digital transformation, data modernization, and artificial intelligence adoption initiatives.
  • Strong expertise in modern data platform architecture, lakehouse architectures, and cloud-native design principles.
  • Demonstrated success partnering directly with business stakeholders to develop technology roadmaps and solution strategies.
  • Strong architectural thinking, strategic problem-solving, and the ability to influence without direct authority.
  • Typically, eight or more years of actuarial or similar experience.
  • Proven knowledge of actuarial business functions, statistical methods of analysis, company actuarial systems and databases, and their integration.
  • Technical facility with leading computer tools and technology, Microsoft Office products including Visual Basic for Applications within Access and Excel, programming languages, and actuarial models.
  • Undergraduate degree in actuarial science, mathematics, statistics, computer science, or a similar background requiring modeling, programming, or quantitative analysis is listed as typical education.
  • Insurance or actuarial experience, or a strong interest in learning actuarial business processes and translating them into technology solutions.

Responsibilities

  • Partner with actuarial leaders, business stakeholders, and digital teams to prioritize and deliver data, analytics, automation, and technology opportunities.
  • Modernize legacy processes and applications into cloud-native, data-driven, and artificial intelligence-enabled solutions.
  • Design and govern modern data platforms using Snowflake, Databricks, AWS, data lakes, lakehouse architectures, and open table formats.
  • Establish practical standards for data quality, metadata, lineage, governance, security, access controls, and data observability.
  • Identify responsible opportunities to apply generative artificial intelligence, machine learning, analytics, and automation to improve productivity, decision-making, and operational efficiency.
  • Lead discovery sessions, capability assessments, architecture reviews, solution-design workshops, and technology evaluations.
  • Recommend improvements to platform scalability, resilience, performance, and cost optimization.
  • Communicate complex technical concepts to executive and technical audiences and influence strategic technology investments.
  • Craft direction for the compilation, categorization, and analysis of data.
  • Construct sophisticated testing tools and complete analysis of product calculations.
  • Design and maintain actuarial, projection, and valuation models.
  • Conduct or delegate financial reporting and analysis.
  • Lead, consult, and build strategies for pricing and implementation of products.
  • Complete risk analysis for specific lines of business.
  • Lead efforts to establish reserves and other valuation items under statutory, generally accepted accounting principles, and tax accounting regimes for products.
  • Build strategic direction and provide analysis and pricing of reinsurance.
  • Develop and implement communication strategies and recommendations to leadership.
  • Complete activities related to data governance, data strategy development, data modeling, data requirements, data manipulation, or requirement elicitation.
  • Lead sophisticated business processes, new programs or modifications of existing applications, and cross-functional projects or teams.
  • Provide technical leadership and mentoring to others.
  • Perform other responsibilities as assigned.

Desired Qualifications

  • Python, SQL, PySpark, application programming interface integration, continuous integration and continuous delivery, DevOps, and infrastructure as code.
  • Experience applying artificial intelligence, analytics, or automation to business processes with appropriate governance and controls.
  • Snowflake, Databricks, machine learning, or generative artificial intelligence certifications.
  • Experience with data lakes, medallion architecture, Parquet, Apache Iceberg, Delta Lake, data interoperability, metadata management, data lineage, data governance, and observability.
  • Experience working with Enterprise Data Office, Infrastructure, platform engineering, security, governance, or architecture organizations.

About the Company

Nationwide

Sells insurance, annuities and retirement plans

Nationwide is an insurance and financial services group serving individuals, families and businesses across the United States. Its property and casualty arm covers cars, homes and commercial risks, earning premiums and paying claims. Its Nationwide Financial arm sells annuities, life insurance and retirement plans, earning fees and investment spreads on the savings it manages. Investment returns on the premiums and assets it holds add to its underwriting results across both businesses. The company began in 1926 as Farm Bureau Mutual Automobile Insurance Company, formed by Ohio farmers seeking fairer auto rates, and is headquartered in Columbus, Ohio.

Company size
10,001+
Company stage
Not listed
Total funding
$1.4B
Headquarters
Columbus, OH
Founded
1926

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