Technical Project Manager – Retail Data & AI Products
Job in
Dallas, Paulding County, Georgia, 30157, USA
Listed on 2026-07-13
Listing for:
Brown & Brown, Inc.
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
Data Engineering, Business Systems & Technology Analysis, AI Business & Operations
Job Description & How to Apply Below
Hybrid Working locations:
Sandy Springs ("Atlanta"), GA, USA:
Dallas, TX, USA:
Daytona Beach, FL, USAtime type:
Full time posted on:
Posted Yesterday job requisition :
R26 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
** Atlanta, GA, Dallas, TX, or Daytona Beach, FL!
** 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 ROIManage 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’sDrive 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 field8+ 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 Dev Ops)
Exceptional stakeholder management and communication skills
** Preferred
* * Experience in Finance or Broking Insurance Exposure to:
* Azure, Databricks, Spark, Kafka, Snowflake
* AI/ML platforms and workflowsPMP or equivalent certification
Experience with :
* Data governance and compliance
* Cloud cost optimization (Fin Ops)
* 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…
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