Brown & Brown Insurance

Technical Project Manager – Retail Data & AI Products

Brown & Brown Insurance Plano, Texas, United States

Insurance Agencies and Brokerages · 1,001-5,000 employees

Yesterday
project-manager Principal (10+ yrs) Full-time United States
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About the role

The Technical Project Manager will lead large-scale retail data transformation initiatives and oversee the modernization of the data ecosystem using cloud technologies. They are responsible for end-to-end program delivery, aligning business outcomes with data strategy, and managing cross-functional teams to enable advanced analytics and AI capabilities.

What they look for

Program Management Data Transformation Cloud Technologies Azure Databricks Data Platforms Stakeholder Management AI/ML Governance Financial Management Agile Azure DevOps Data Engineering Strategic Planning Risk Management Executive Communication

Requirements

Candidates must have a bachelor's degree and over 8 years of program management experience in data, analytics, or enterprise technology. Strong expertise in data platforms, distributed systems, and Agile delivery models is required, along with exceptional stakeholder management skills.

Benefits

Medical Rx Dental Vision Life Insurance Disability Insurance ESPP 401k Student Loan Assistance Tuition Reimbursement Mental Health Services Paid Time Off Holidays

Full description

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”.

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