Technical Project Manager – Retail Data & AI Products

Socket.dev; Plano (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Brown & Brown in Plano, TX seeks a Technical Project Manager for Retail Data & AI Products to lead large-scale data programs. You will own end-to-end delivery of data platforms, AI initiatives, and data governance while coordinating across engineering, analytics, and business teams.

The role requires 8+ years in data program management, strong stakeholder skills, and experience with Azure, Databricks, Snowflake, and cloud FinOps practices to maximize ROI and business impact.

Qualifications

• 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.

Responsibilities

• Define and drive the enterprise data transformation vision and roadmap.
• 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).
• Align delivery to scalability, reliability, performance, and data governance standards.
• Maintain and evolve the enterprise data program roadmap and governance.
• Drive prioritization based on business value and ROI; manage delivery tracking.
• Partner with senior business leaders to align outcomes and priorities; deliver executive-level status reports.
• Collaborate with Data Engineering to define architecture, data pipelines, and platform roadmaps.

Skills

Bachelor's degree

8+ years

Data platforms

Distributed systems

Agile

Azure DevOps

Stakeholder management

Education

Bachelor's degree

Tools

Azure DevOps

Job 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 aTechnical Project Manager – Retail Data & AI Productsto 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)