Brown & Brown is seeking aTechnical Project Manager 6 Retail Data & AI Productsa0to 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.a0

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 architecture9s

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

Bachelor99s 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