Virtual
Industry Pathways | Technology, AI, Cloud, Data & Software Development
November 17, 2026 1:00pm - 3:00pm ET
Industry Pathways: Technology, AI, Cloud, Data & Software Development
Tuesday, November 17, 2026 | 1:00–3:00 p.m. ET
Virtual Event
Build the Systems. Turn Data Into Decisions. Shape What Comes Next.
AI applications depend on software, reliable infrastructure, useful data, and people who understand the problems technology needs to solve. As organizations expand automation and AI capabilities, career exploration must reach beyond coding to include implementation, testing, operations, and business value. This event invites transitioning service members, veterans, and military spouses to explore how systems thinking, technical troubleshooting, analytical judgment, and operational experience can translate into careers across the technology ecosystem—and identify the preparation different pathways require. bls.gov
About FourBlock Industry Pathways
FourBlock Industry Pathways address workforce demand and skill gaps by organizing engagement at the industry level rather than the job level, creating a system where employers, talent, and workforce demand are aligned in real time.
This event helps participants understand the technology landscape, recognize where their experience fits, and explore career possibilities through employer perspectives.
Industry Sector
Advanced Technology
The central workforce focus is the development, deployment, and operation of AI, cloud platforms, data systems, and software applications that support organizations across industries.
Market Signals
Software careers continue to evolve alongside AI: Employment of software developers, quality assurance analysts, and testers is projected to grow 10% from 2025 to 2035. Expanding applications in AI, robotics, and automation reinforce the value of understanding user needs, building dependable systems, and testing how they perform. bls.gov
Data expertise connects technical work to business decisions: Data scientist employment is projected to grow 35% from 2025 to 2035. The work combines programming and statistical analysis with interpreting results and explaining their implications—a useful distinction for participants considering which analytical pathway to pursue. bls.gov
AI and cloud spending require financial judgment: In the 2026 State of FinOps survey, 98% of respondents reported managing AI spending. AI cost management ranked as the leading skill teams needed to develop, making technology financial management a pathway worth exploring for people with budgeting, analysis, and resource-management experience. data.finops.org
Technology value extends beyond engineering: The same survey found FinOps responsibilities expanding into software subscriptions, licensing, private cloud, and data centers. For career explorers, this highlights the connections among technical operations, procurement, financial planning, and governance when organizations make technology decisions. data.finops.org
Explore Career Paths In
Software Development: Design and maintain applications that solve user and business problems.
Cloud Engineering & Operations: Configure, support, and improve cloud infrastructure.
Data Analytics & Business Intelligence: Translate information into practical recommendations.
Data Engineering: Build pipelines that organize and deliver reliable data.
AI & Machine Learning Engineering: Develop and integrate models; typically requires substantial programming and mathematical preparation.
Software Quality Assurance & Test Automation: Evaluate functionality, reliability, and user experience.
Technical Program & Project Management: Coordinate delivery, dependencies, resources, and risk.
Product Management & Business Analysis: Define needs, prioritize improvements, and connect users with technical teams.
FinOps & Technology Financial Management: Analyze spending and improve technology value.
AI Governance & Data Stewardship: Support responsible use, data quality, documentation, and oversight.
What to Expect
Expert Panel Discussion
Hear from technology leaders as they share perspectives on industry trends, workforce demand, and hiring considerations for veterans and military spouses. Topics will include AI’s relationship to software development, the foundations of cloud and data systems, technology cost management, and pathways spanning technical and business functions.
Participants will gain a clearer understanding of how these functions work together, how employers evaluate relevant experience, and where additional education, certifications, or demonstrated project work may strengthen their preparation.
Virtual Breakout Sessions
Connect directly with employer partners, recruiters, and hiring managers to explore pathways aligned with your experience and interests, including cloud operations, software development, data analytics, technical program management, and FinOps.
Ask about transferable skills, qualifications, entry points, and career progression. Use these conversations to distinguish roles that build on your current experience from those requiring further preparation, and explore how to communicate the value you bring.
Who Should Attend?
This event is open to all transitioning service members, veterans, and military spouses interested in technology, analytical problem-solving, digital products, and the systems that support modern organizations.
Whether you are exploring a new industry or building on established experience, bring your interests in troubleshooting, financial analysis, operational planning, process improvement, customer experience, or technical delivery. You are welcome even if you are still learning where you fit.
Participating Companies
Speakers
- Angie Infante — Engineering Test & Technology Military & Veterans Program Lead, Boeing
- Clayton Heimann — Senior Technical Recruiter, indeed
- Colby Geyer — Inclusion & Belonging Manager at McKesson, McKesson
- Jason Li — Sr. Lead Engineering Program Manager, Glassdoor (indeed)
- John Zanfardino — Senior Veteran Workforce Lead, Boeing
- Karin Childress Wiley — Chief Growth & Strategy Officer
- Kim Pritchard — Enterprise Transformation Leader Driving AI, Data, and Operational Strategy at Scale, McKesson
- Kristen Savee — VP Programs, Northeast Region, FourBlock (LinkedIn)
- Marcus Cooley — Director of Engineering, Dell Technologies
- Ricardo Stephens III — Diversity Program Lead, Dell Technologies (LinkedIn)
- Tony Fleri — Strategy Insights & Planning Consultant, ZS
- Tony Gilbert — Talent Acquisition Director, Viasat
- Valerie Dionne — Talent Acquisition Senior Associate, ZS
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