Lincoln Financial · 3 hours ago
SVP, Chief Data and AI Engineering Officer
Radnor, PA
Full-time
Hybrid
Director/Executive
15+ years expLincoln Financial is seeking an SVP, Chief Data & AI Engineering Officer—a transformational leader who will architect the data and infrastructure foundation essential to powering the company’s AI driven future. This role involves defining and executing the enterprise data and AI engineering strategy, ensuring that Lincoln has the platforms and governance required to accelerate AI at scale.
AdviceFinanceFinancial ServicesInsurance
Responsibilities
Define & execute strategy: Lead the multi-year enterprise roadmap for data and AI engineering aligned with AI transformation and business priorities
Governance & stewardship: Establish and chair the enterprise data governance council; define data ownership, stewardship, and responsible AI governance frameworks
Architect for scale: Build modern, cloud-native data infrastructure—including storage, compute, streaming, and batch capabilities—to support high-throughput, low-latency AI workloads
Shape enterprise architecture: Develop logical architectures, semantic models, ontologies, and domain definitions tailored for AI consumption
Lead rapid experimentation and quick proof of concepts for priority AI use cases
Guide MVPs through scalable, production ready pathways
Lead hands on technical design, including model approach, data needs, and solution architecture in partnership with AI product teams
Build robust data pipelines: Oversee ingestion, transformation, and orchestration pipelines engineered for reliability, scalability, and reusability
Enable end-to-end MLOps: Implement enterprise capabilities such as feature stores, model registries, CI/CD, automated testing, deployment, and rollback
Operationalize responsible AI: Embed model observability, drift detection, performance monitoring, lineage, and audit trails to meet regulatory and ethical standards
Champion security & compliance: Ensure enterprise-level data security, privacy controls, access governance, and regulatory compliance across all platforms
Drive operational excellence: Lead Site Reliability Engineering (SRE), incident response, and capacity planning to meet availability and performance targets
Optimize cloud economics: Implement FinOps practices—right-sizing, autoscaling, workload optimization—to ensure cost-efficient platform operations
Deliver trusted data products: Lead the design of data products, catalogs, and self-service tooling that empower AI, analytics, and business teams
Lead organizational change: Drive data literacy, enablement, and cultural transformation to accelerate enterprise-wide AI readiness
Manage strategic partnerships: Oversee vendor relationships and evaluate build-vs-buy decisions across platforms, tools, and data services
Influence at the executive level: Communicate strategy, risk posture, and engineering outcomes in clear business terms to senior leadership
Qualification
Required
Bachelor's degree plus 15+ years of progressive experience in large-scale data management, platform engineering, or software engineering supporting AI/ML
7-10+ years in senior leadership with proven experience scaling teams from <10 to 30+ people, overseeing large engineering organizations with accountability for strategy, architecture, governance, and delivery excellence
Hands-on experience leading pilot-to-production transitions for AI/ML solutions
Track record building agentic AI or multi-agent orchestration platforms
Proven experience delivering cloud-native data platforms, high‑volume pipelines, and production-grade AI/MLOps in complex, regulated environments
Demonstrated success enabling AI/ML products through strong data foundations from experimentation to production
Background in regulated industries (insurance, banking, financial services) with deep knowledge of compliance and responsible AI governance
Executive communication and influence skills with experience shaping enterprise architecture and driving cross-functional outcomes
Preferred
Advanced degree in Technology, Engineering, Business, or a related field
Deep expertise in Databricks or Snowflake preferred
Expertise in distributed systems, DevOps/CI-CD, SRE/observability, and cost-performance optimization
Experience leading enterprise-scale transformation across multiple business units
Strong relationship management skills with an ability to navigate complex organizational environments and influence without direct authority
Benefits
Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
Leadership development and virtual training opportunities
PTO/parental leave
Competitive 401K and employee benefits
Free financial counseling, health coaching and employee assistance program
Tuition assistance program
Work arrangements that work for you
Effective productivity/technology tools and training
Company
Lincoln Financial
Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future.
10001+ employees
H1B Sponsorship
Lincoln Financial has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$825MKey Investors
Bain Capital
2025-04-09Post Ipo Equity· $825M
1985-04-26IPO
Leadership Team
Ellen Cooper
Chairman, President and Chief Executive Officer
Christopher Neczypor
Chief Financial Officer
Recent News
GlobalFinTechSeries
2025-12-05
Company data provided by crunchbase