Enterprise Data & Agentic AI Leader · Financial Services

BrianCronin

Data-driven growth & insights through cultural transformation

A financial services data executive with 20+ years turning complex data estates into engines of growth — and now leading one of the most ambitious agentic AI transformations in the industry, achieving up to 10x acceleration in data environment modernisation.

Agentic AI Work → View Career

Brian Cronin

VP of Enterprise Data · Charlotte, NC

Career at a glance

20+

Years in Data & FS

10×

AI Acceleration

SVP→

Fortune 500 FS Firm

AI-first

Data Leader

Domains

Agentic AI Agent Orchestration Enterprise Data Strategy Financial Services Insurtech Cultural Transformation

About Brian

Data that transforms the business — and the culture

Brian Cronin

VP of Enterprise Data & Agentic AI
Financial Services & Insurtech · Charlotte, NC

I've spent two decades at the intersection of financial services and enterprise data — and I'm now at the forefront of what comes next: agentic AI-driven transformation at enterprise scale.

Today I'm leading a massive data transformation using agentic AI — designing autonomous agents, skills, and multi-agent orchestration frameworks that are delivering up to 10x acceleration in modernising data environments. Using AWS Kiro, Google Agentspace, Claude Code, and Snowflake Cortex, my team is redefining how data organisations operate, learn, and scale.

I believe in being AI-first but governance-led: the opportunity that agentic AI presents is extraordinary, but it must be matched with robust guardrails, clear data ownership, explainability frameworks, and a culture that understands both the power and the risk. I've built both sides — the innovation and the governance — and I don't separate them.

🤖

Agentic AI Pioneer

Leading one of the industry's most ambitious agentic AI programmes — designing agents, skills, and orchestration frameworks delivering 10x data transformation acceleration.

🏦

Financial Services Native

Deep domain expertise across insurance, wealth management, lending, and fintech — fluent in regulatory, compliance, and risk data environments.

🔄

Cultural Transformer

Building data-literate, AI-ready organisations requires as much change management and governance design as technical execution. I've led both at scale.

What I Bring

The most effective data leaders today combine strategic vision, technical credibility, and the ability to drive cultural change at scale. In the age of agentic AI, they also need the wisdom to know where AI should accelerate — and where governance must hold the line.

I've built data organisations from zero, modernised legacy estates, and embedded data-driven decision-making across complex enterprises. Now I'm leading the next chapter: deploying autonomous AI agents that can transform data environments at a speed and scale that was unimaginable even two years ago.

The 10x acceleration isn't hype — it's the result of thoughtful agent design, well-governed orchestration frameworks, and deep integration between AI capabilities and enterprise data foundations that were built the right way.

AI-First Leadership Principles

→Agents amplify human expertise — they don't replace human judgment

→Every agent needs an owner, a scope, and an off switch

→Governance isn't a constraint on AI — it's what makes AI trustworthy at scale

→Speed of deployment must be matched by rigour of guardrails

Agentic AI Leadership

🟣 Active Initiative

Leading the agentic AI frontier

I am currently leading one of the most ambitious agentic AI-driven data transformations in the industry. By designing autonomous agents, composable skills, and multi-agent orchestration frameworks — and integrating them with a modern cloud data stack — my team is delivering up to 10x acceleration in the speed at which complex data environments can be transformed. This is what AI-first data leadership looks like in practice.

🧠

Agent & Skills Design

Designing purpose-built autonomous agents with well-defined skills, boundaries, and escalation paths. Each agent is scoped to a specific data domain — ingestion, transformation, quality, cataloguing — with composable skills that can be reused across the estate.

Agent design Skills architecture Autonomous execution AWS Kiro Claude Code

🔗

Multi-Agent Orchestration

Building orchestration frameworks that coordinate multiple specialised agents working in parallel and in sequence — handling complex, multi-step data transformation workflows that previously required large teams of engineers and weeks of elapsed time.

Agent orchestration Multi-agent systems Google Agentspace Snowflake Cortex

⚡

10× Data Transformation

Agentic AI is compressing data transformation timelines that used to take months into days or weeks. Tasks that required large specialist teams — schema migration, pipeline generation, data quality remediation, documentation — are now executed by agents with human review and approval gates.

10× acceleration Pipeline automation Schema migration Auto-documentation

🛡️

AI Governance & Guardrails

Every agent operates within a governance framework: defined scope, data access controls, human-in-the-loop approval checkpoints, audit trails, and explainability requirements. Responsible AI deployment in financial services demands this — and it's what makes the acceleration sustainable and trustworthy.

AI governance Guardrails Human-in-the-loop Audit trails Explainability

Agentic AI Stack

🔶

AWS Kiro

Agentic IDE & development framework

🔵

Google Agentspace

Enterprise agent orchestration platform

🟣

Claude Code

Agentic coding & automation

🔷

Snowflake Cortex

AI & ML within the data platform

10×

Acceleration in data environment transformation

By combining agentic AI with a modern cloud data stack, tasks that previously required months of engineering effort — schema migration, pipeline generation, data quality remediation, and cataloguing — are now completed in days. This is not automation for automation's sake; it's AI amplifying the expertise of skilled data professionals and allowing them to operate at a scale that was previously impossible.

🔐

AI-First. Governance-Led.

The speed of agentic AI is extraordinary — but in financial services, speed without governance is a liability, not an advantage. Every agent I deploy operates within a defined governance framework: scoped data access, human approval checkpoints, immutable audit trails, explainability requirements, and clear escalation paths. I'm as focused on building the guardrails as I am on building the agents. That's what makes this transformation sustainable — and what separates responsible AI leadership from AI theatre.

Skills & Expertise

Twenty years of deep expertise

A practitioner's skill set spanning agentic AI, enterprise data strategy, governance, engineering, analytics, and the leadership capabilities to drive transformation across complex financial services organisations.

🤖

Agentic AI & LLMs

Agentic AI Agent design & skills Multi-agent orchestration AWS Kiro Google Agentspace Claude Code Snowflake Cortex LLM integration Generative AI AI governance Guardrails & HITL Responsible AI

🎯

Enterprise Data Strategy

Enterprise data strategy Data-centric culture Data as a product Data products Executive communication Board-level reporting P&L ownership Budget management Strategic roadmap Business alignment

🏛️

Data Governance & Quality

Data governance frameworks Master data management Data quality & observability Data catalog Metadata management Data lineage SOX / GDPR / HIPAA Regulatory reporting Risk & compliance data

⚙️

Data Engineering & Architecture

Data pipelines ETL / ELT Data lakehouse Snowflake dbt Databricks AWS / Azure Apache Kafka Cloud-native architecture Technology modernisation

📊

Analytics & BI

Self-serve analytics Business intelligence Semantic layer / metrics store Tableau / Power BI / Looker Predictive modeling ML infrastructure Customer experience analytics Data-driven growth

👥

Leadership & Org Building

Org design Team building & scaling Hiring & talent strategy Change management Stakeholder management Data literacy programmes Cultural transformation Cross-functional leadership OKR frameworks

Career Timeline

20 years of enterprise impact

PresentCurrent Role

VP of Enterprise Data & Agentic AI

Leading Insurtech Platform · Charlotte, NC

Leading enterprise data strategy and a ground-breaking agentic AI programme at one of the fastest-growing insurance comparison platforms in the US. Designing autonomous agents, composable skills, and multi-agent orchestration frameworks — delivering up to 10x acceleration in data environment transformation using AWS Kiro, Google Agentspace, Claude Code, and Snowflake Cortex. Simultaneously driving governance, data quality, and cultural transformation across the organisation.

10× data transformation acceleration

Agentic AI programme from zero

100+ insurance carriers in data estate

Prior RoleSenior Executive

Senior Vice President, Enterprise Data

Fortune 500 Independent Broker-Dealer · Charlotte, NC

Senior VP-level ownership of enterprise data at the nation's largest independent broker-dealer. Led multi-year data modernisation programme, self-serve analytics buildout, data governance framework, and cultural change initiative. Owned P&L, budget, and team strategy across a large, complex data organisation managing $900B+ in assets.

#1 independent broker-dealer US

$900B+ AUM on platform

6 acceleration cohorts, 100+ participants

Earlier CareerFinancial Services

Senior Data & Analytics Leader

Global Fintech Infrastructure Provider · Charlotte, NC

Data and analytics leadership at one of the world's largest fintech infrastructure providers, supporting banking, payments, and capital markets clients. Deep expertise in complex regulatory data environments and enterprise-scale systems.

Earlier CareerFinancial Services

Data & Analytics Leader

Mortgage & Credit Data · Financial Services

Built foundational expertise in mortgage and credit data within highly regulated lending operations — requirements analysis, data quality, and business analysis that have informed every subsequent leadership role.

1999 — 2003Education

BS, Mathematics & Computer Science

Buena Vista University · Storm Lake, IA

Measurable Impact

Results that speak

🤖

10×

Acceleration in data environment transformation through agentic AI

AWS Kiro · Google Agentspace · Claude Code · Snowflake Cortex

🏆

20+

Years of data leadership across financial services, insurance, and fintech

Mortgage · Broker-Dealer · Insurtech · Fintech Infrastructure

🏦

$900B+

Assets on platforms where enterprise data strategy has been led

Nation's largest independent broker-dealer

🔄

4×

Enterprise data transformations led across distinct FS organisations

Each at different scale and maturity stage

👥

100+

Data professionals developed through cultural acceleration programmes

Experienced-Based Acceleration — 6 cohorts

🛡️

AI governance frameworks deployed with zero major incidents across all agentic programmes

Guardrails · HITL · Audit trails · Explainability

Leadership Philosophy

How I lead

AI-first, governance-led

Agentic AI is the most powerful accelerant data organisations have ever had. But in financial services, deploying it without rigorous governance, clear guardrails, and human oversight isn't leadership — it's recklessness. I pursue both with equal commitment.

Culture before technology

The most sophisticated AI or data platform fails if the organisation doesn't trust it or know how to use it. I invest equally in literacy, confidence, and cultural change as I do in infrastructure. Transformation is a people problem first.

Lead from behind

Creating conditions for a team to excel — giving them clarity, removing blockers, trusting their expertise — consistently beats command-and-control. The best agentic AI work I've seen comes from teams who feel empowered to experiment and learn.

Business outcomes, always

Data and AI work is only as valuable as its impact on the business. I hold every initiative to a measurable standard — revenue, risk reduction, operational efficiency, or customer experience. The 10x acceleration means nothing if it's not moving the right metrics.

Speak the language of the business

Financial services organisations have specific languages — compliance, risk, AUM, policy lifecycle. Twenty years of that fluency, combined with the ability to explain agentic AI in terms boards and regulators understand, is what earns a data leader a seat at the real table.

Invest in people obsessively

The best data and AI platforms I've built were built by exceptional people I found, developed, and retained. In the agentic AI era, investing in human expertise matters more, not less — because agents are only as good as the humans who design, govern, and improve them.

Side Projects & Thought Leadership

Beyond the day job

Agentic AI↗

Agentic Data Transformation

Building and deploying multi-agent systems for data environment transformation — designing agents with composable skills, orchestration frameworks, and governance guardrails that deliver 10x acceleration. Hands-on with AWS Kiro, Google Agentspace, Claude Code, and Snowflake Cortex.

AWS KiroGoogle AgentspaceClaude CodeSnowflake Cortex

Leadership↗

Leading From Behind

Published perspective on servant leadership — creating conditions for a team to excel consistently outperforms top-down command. Widely shared across the data and FS leadership community.

Thought LeadershipPublished Article

AI in FS↗

GenAI for Customer Experience

Guidance on integrating generative AI into customer-facing financial services products — covering enterprise adoption challenges, change management strategy, and value realisation for both employees and customers.

GenAI / LLMCX StrategyFinancial Services

Data Culture↗

Experienced-Based Acceleration

Designed and ran a multi-cohort data acceleration programme reaching 100+ professionals across 6 events — elevating data foundations, literacy, and culture across a large enterprise.

100+ Participants6 CohortsEnterprise Scale

Speaking↗

Industry Panels & Perspectives

Regular contributor to industry conversations on data leadership, agentic AI strategy, and responsible AI deployment in financial services. Featured in trade publications on enterprise data strategy and technology modernisation.

Agentic AIIndustry PublicationsPanels

Community↗

Data & AI Leadership Network

Active mentor and connector across the data and AI community in Charlotte and beyond — with a track record of investing in the careers of data professionals navigating the agentic AI era.

Charlotte, NC500+ ConnectionsMentorship