Technical Project Manager - Retail Data & AI Products

Brown & Brown, INC.

  • Dallas, TX
  • 23 days ago

    Highlights

    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. 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.).

    Numbers & Facts

    LocationDallas, TX

    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 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 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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