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Plano, Texas, United States
Onsite
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 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
Teammate Benefits & Total Well-Being
We go beyond standard benefits, focusing on the total well-being of our teammates, including:
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.
Recruiting Vendor Disclosure Statement
Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.
The Power To Be Yourself
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”.
