Director - Data & AI Solutions - Financial Services, Actuarial - REMOTE

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

Nationwide is seeking a forward-thinking technology leader to drive enterprise-scale data, analytics, cloud modernization, and artificial intelligence solutions across Nationwide Financial’ s Actuarial organization. This role is ideal for a hands-on data and technology strategist who can translate business priorities into scalable, secure, cloud-native solutions and help actuarial teams adopt modern data and AI-enabled ways of working.

Reporting to the Senior Technical Director, you will serve as a trusted advisor and primary liaison between actuarial and business stakeholders and technology teams. You will identify high-value opportunities, lead discovery and solution-design discussions, shape technology roadmaps, and guide delivery across data, platform engineering, DevOps, security, governance, architecture, and application development teams. This role will also provide technical leadership and mentoring to others.

What you’ll do

• •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 AI-enabled solutions.
• •Design and govern modern data platforms using technologies such as 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 AI, 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 clearly to both executive and technical audiences and influence strategic technology investments.

What you’ll bring

• •Bachelor’s degree in computer science, engineering, information systems, or a related technical discipline highly preferred.
• •10+ years of hands-on experience in data architecture, data engineering, analytics, and enterprise solution architecture.
• •5+ years designing and implementing cloud-native modern data platforms using Snowflake, Databricks, and AWS.
• •3+ years delivering AI, machine learning, generative AI, or agentic AI solutions into production environments.
• •Proven experience leading enterprise-scale digital transformation, data modernization, and AI 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, executive communication, strategic problem-solving, and the ability to influence without direct authority.

Additional experience that’s valuable

• •Python, SQL, PySpark, API integration, CI/CD, DevOps, and infrastructure as code.
• •Experience applying AI, analytics, or automation to business processes with appropriate governance and controls.
• •Snowflake, Databricks, machine learning, or generative AI certifications.
• •Experience with data lakes, medallion architecture, Parquet, Apache Iceberg, Delta Lake, data interoperability, metadata management, data lineage, data governance, and observability.
• •Insurance or actuarial experience, or a strong interest in learning actuarial business processes and translating them into technology solutions.
• •Experience working with Enterprise Data Office, Infrastructure, platform engineering, security, governance, or architecture organizations.

Why this opportunity

This is an opportunity to shape how a major financial services organization uses data, analytics, cloud platforms, and AI to improve actuarial processes and business outcomes. You’ll have meaningful enterprise scope, visibility with business and technology leaders, and the opportunity to help move teams from traditional processes to modern, governed, AI-enabled operating models.

If you are a data architecture, cloud modernization, enterprise technology, or AI leader who enjoys solving complex business problems and helping teams transform, we invite you to apply.

Location: Columbus, Ohio OR fully remote

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Job Description Summary

Our Nationwide Financial (NF) Actuarial team members have opportunities to use state-of-the-art tools, are encouraged to innovate and learn to master actuarial methodologies. If this sounds like a place you could thrive, then we want to know more about you!

As a NF Technical Director, you’ll show a mastery of business operations, systems, and actuarial methodologies. You will provide thought leadership for the performance of complex actuarial techniques and procedures and risk analysis. You’ll develop a strategic vision to ensure efficient, consistent and coordinated data and analysis. Additionally, you’ll provide business recommendations that are essential to success and the protection we provide our customers.

Job Description

Key Responsibilities:

Crafts direction for the compilation, categorization and analysis of data.

Constructs sophisticated testing tools and completes analysis of product calculations.

Designs and maintains actuarial, projection and valuation models.

Conducts or delegates financial reporting and analysis.

Leads, consults and builds strategies for pricing and implementation of products.

Completes risk analysis specific lines of business.

Leads efforts to establish reserves and other valuation items under multiple accounting regimes (statutory, GAAP, and tax) for products.

Builds strategic direction and provides analysis and pricing of reinsurance.

Develops and implements effective communication strategies and recommendations to leadership.

Completes activities related to a niche phase of data and analytics such as data governance, data strategy development, data modeling, data requirements, data manipulation and/or requirement elicitation.

Leads sophisticated business processes, new programs/modifications of existing applications and/or cross-functional projects/teams.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Actuarial leader.

Typical Skills and Experiences:

Education: Undergraduate degree in actuarial science, mathematics, statistics, computer science, or similar background requiring modeling, programming or quantitative analysis.

Experience: Typically, eight or more years of actuarial or similar experience.

Knowledge, Abilities and Skills: Proven knowledge of actuarial business functions, statistical methods of analysis, company actuarial systems and databases, and their integration, and technical facility with leading computer tools and technology. Mastery of Microsoft Office products (including VBA within Access and Excel), programming languages and actuarial models. Basic level of organizational agility and issue resolution. Proficient level of command skills, strategic agility, delegation, inspiring others, business perspective, and accounting. Mastery level of perspective, problem solving, customer focus, dealing with ambiguity, drive for results, analysis, learning on the fly, and making the best use of system capabilities.

Other criteria, including leadership skills, competencies and experiences may take precedence.

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