About the role
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: Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more. 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”.