Technical Project Manager – Retail Data & AI Products

Role Overview

Brown & Brown is a meritocracy‑focused company that rewards self‑starters and those committed to delivering the best for our customers. We are looking for a Technical Project Manager – Retail Data & AI Products to join our growing teams in Atlanta, GA; Dallas, TX; or Daytona Beach, FL.

This role will lead large‑scale retail business data transformation initiatives, driving modernization of the data ecosystem using cloud and platform technologies (e.g., Azure, Google, Databricks). You will own end‑to‑end program delivery, align business outcomes with data strategy, deliver scalable data platforms, and enable advanced analytics, AI, and machine learning use cases across insurance operations. The ideal candidate combines strong program leadership, data platform expertise, and executive stakeholder influence with a focus on measurable business impact.

How You Will Contribute

Strategy & Data Transformation Leadership

• Define and drive the enterprise data transformation vision and roadmap
• Align data programs with business priorities

Establish Governance Frameworks For

• Data platforms
• AI/ML initiatives
• Enterprise data standards

Translate Strategic Goals Into Execution‑Ready Program Plans

Translate strategic goals into execution‑ready program plans.

Program Delivery & Execution

• Own end‑to‑end delivery of large‑scale data programs (data platforms, lakes, pipelines, AI initiatives)
• Define scope, timelines, dependencies, and success criteria

Manage

• Cross‑team coordination (engineering, analytics, business)
• Risks, issues, and escalation pathways

Ensure Delivery Aligns With

• Scalability
• Reliability
• Performance
• Data quality and governance standards

Portfolio & Roadmap Management

• Maintain and evolve the enterprise data program roadmap
• Align delivery to build‑vs‑buy strategy and portfolio governance
• Drive prioritization based on business value and ROI
• Manage delivery tracking via Azure DevOps or similar platforms

Financial Management & Governance

• Own program budgets, forecasts, and cost tracking
• Ensure financial accountability and transparency
• Apply FinOps principles for cloud cost optimization
• Establish and report on program KPIs and value realization

Stakeholder & Executive Engagement

• Partner with senior business leaders to align outcomes and priorities
• Deliver clear, concise executive‑level communication and status reporting
• Translate technical progress into business impact narratives
• Influence cross‑functional teams without direct authority

Data Platform & Technology Oversight

Collaborate With Data Engineering To Define

• Architecture
• Data pipelines
• Platform roadmaps

Ensure Alignment With Modern Data Ecosystems

• Azure, Snowflake, Databricks
• ETL/ELT pipelines
• Streaming/batch architecture’s

Drive adoption of scalable, reusable data platform capabilities.

Quality, Testing & Governance

Define Program Level

• Testing strategies
• UAT frameworks
• Quality standards

Ensure Adherence To

• Data governance
• Privacy and compliance
• AI governance standards

Embed observability, monitoring, and data quality controls.

AI & Innovation Enablement

• Leverage AI tools (e.g., Copilot, AI‑assisted development) to improve delivery efficiency
• Support development of AI/ML‑ready data platforms
• Ensure responsible AI practices and governance compliance

Continuous Improvement & Operating Excellence

• Drive retrospectives and continuous improvement processes
• Introduce scalable delivery frameworks, tools, and best practices
• Improve operational efficiency across programs
• Foster a culture of accountability, transparency, and innovation

Required

• Bachelor’s degree in computer science, engineering, business, or related field
• 8+ years of program management experience in data, analytics, or enterprise technology
• Proven track record delivering complex, cross‑functional data programs at scale
• Strong understanding of data platforms (data lakes, warehouses, pipelines)
• Distributed systems and architecture principles
• Experience with Agile / hybrid delivery models
• Program management tools (e.g., Azure DevOps)
• Exceptional stakeholder management and communication skills

Preferred

• Experience in finance or broking insurance
• Experience with Azure, Databricks, Spark, Kafka, Snowflake
• Experience with AI/ML platforms and workflows
• PMP or equivalent certification
• Data governance and compliance experience
• Cloud cost optimization (FinOps)
• Large‑scale enterprise transformations
• Strategic thinking with execution rigor
• Cross‑functional leadership and influence
• Ability to translate ambiguity into structured execution plans
• Executive communication and storytelling

Teammate Benefits & Total Well‑Being

• Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
• Financial Benefits: ESPP, 401k, Student Loan Assistance, Tuition Reimbursement
• Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
• Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts, and more.

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.

Equal Opportunity Employer Statement

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.