Technology Strategy Leader - Enterprise Data, AI & Platforms - Hybrid
$139,900–$233,100 year
HybridAustin, Texas, United States or St. Louis, Missouri, United States
Job Summary
Lead an integrated technology strategy and roadmap for Enterprise Data, AI, and Platforms, translating enterprise goals into actionable portfolios with clear scope, tradeoffs, and value measures. Clarify priorities, sequencing, and dependencies while establishing governance routines, decision rights, and risk escalation paths to improve transparency and accountability. Partner across product, engineering, architecture, security, and business teams to align decisions, remove barriers, and advance responsible AI strategy from experiment to scale. Build investment cases that connect funding to measurable outcomes in adoption, reliability, reuse, and cost efficiency. Establish stronger onboarding, access, documentation, and observability to reduce friction and increase platform adoption.
Required Qualifications
- 15 or more years of experience in technology strategy, operating model transformation, platform product leadership, program leadership, or portfolio leadership
- Experience leading enterprise-scale roadmaps, governance models, standards, dependency management, and cross-functional execution in a matrixed environment
- Strong executive communication skills, with the ability to simplify complex topics, frame decisions, and create clear action plans
- Demonstrated ability to influence senior leaders and align product, engineering, architecture, governance, operations, and business stakeholders
- Experience partnering with engineering teams on cloud platforms, modern data and analytics architecture, or shared technology platforms
- Experience operating in a regulated environment and partnering with security, privacy, or compliance teams
- If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload
Desired Qualifications
- Bachelor's degree or equivalent experience in technology, business, data, analytics, or a related field
- Experience with AI governance, responsible AI practices, and the use of AI tools to improve productivity, workflow, and decision making
- Experience driving enterprise analytics, data platform, servicing platform, or AI adoption at scale in healthcare, financial services, or another regulated industry
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