Brown & Brown is seeking a Technical Project Manager – Retail Data & AI Products to join our growing team in Plano, TX.   

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