Technical Project Manager – Retail Data & AI Products

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

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 Dev Ops or similar platforms  Financial Management & Governance  Own program budgets, forecasts, and cost tracking  Ensure financial accountability and transparency  Apply Fin Ops 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…