Brown & Brown is seeking aTechnical Project Manager – Retail Data & AI Products to join our growing team 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 etc.). Responsible for end-to-end program ownership, aligning business outcomes with data strategy, delivering scalable data platforms, and enabling 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 delivering 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 

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 

Introducing scalable delivery frameworks, tools, and best practices 

Improve operational efficiency across programs 

Foster a culture of accountability, transparency, and innovation 

Skills & Experience to be Successful: 

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 

Exposure to: 

• Azure, Databricks, Spark, Kafka, Snowflake 

• AI/ML platforms and workflows 

PMP or equivalent certification 

Experience with: 

• Data governance and compliance 

• 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