The Vice President, Technology Product & Solutions is a business-focused leader who translates strategy into a clear technology product roadmap and operating model so teams deliver measurable value. The role leads product management and business enablementโsetting direction, prioritizing investments, and ensuring cross-functional delivery across revenue, marketing, stadium, and operational initiatives. The VP also oversees the Enterprise Data team, ensuring reliable, secure, and scalable data and software capabilities that power analytics, integrations, and missionโcritical applications, and unites product and data teams to drive endโtoโend accountability from defining the โwhyโ and โwhatโ to delivering the โhow.โ As a solutions architect and strategic business partner, the VP defines how to deliver technical capabilities by leveraging existing platforms, selecting new platforms when needed, building fitโforโpurpose solutions, and integrating systems into a cohesive, scalable ecosystem. In partnership with business leaders, the VP identifies and scales AIโenabled opportunities that improve efficiency and decisionโmakingโprioritizing highโvalue use cases, operationalizing them through products and process change, and ensuring responsible implementation with appropriate governance, security, and data stewardship. Reporting to the CIO, this leader builds highโperforming teams and partnerships, strengthens governance and delivery discipline, and fosters continuous improvement and customerโfocused innovation. The role supports dayโtoโday delivery and operations while evolving product practices, delivery standards, and the underlying data and software platforms to ensure performance, scalability, and security. In close partnership with business, technology, and security leaders, the VP aligns priorities, removes obstacles, and drives platform and integration decisions that improve timeโtoโvalue, enable AI and automation at scale, and ensure data is trusted, governed, and usable across the enterprise.
This position is primarily based in Atlanta, GA, at MercedesโBenz Stadium, with work at other Metro Atlanta locations as needed. Must be able to carry a cell phone and respond quickly to occasional requests for critical assistance. Working events at MercedesโBenz Stadium are required on an operational rotation. Occasional travel may be required.
Responsibilities
- Serve as a solutions architect and platform strategist: Partner with business leaders to determine when to use existing platforms, introduce new capabilities, or integrate systemsโensuring solutions align with enterprise architecture standards, integration patterns, security requirements, and longโterm scalability.
- Lead transformation and change management: Drive adoption of new platforms, products, and ways of working (including AIโenabled workflows) through clear communication, stakeholder engagement, training, and measurable outcomes.
- Deliver digital capabilities through productized solutions: Guide the build/buy/partner approach for fanโfacing and internal tools, ensuring solutions are maintainable, wellโadopted, and tied to clear business value.
- Advance analytics and emerging technology innovation: Champion a culture of dataโinformed decisionโmaking by enabling selfโservice insights, defining meaningful KPIs, and evaluating emerging technologies (including AI where appropriate) to improve customer experience, operations, and timeโtoโvalue.
- Scale AI and automation where it creates clear value: Identify, prioritize, and deliver AIโenabled solutions (with appropriate governance) and other automation opportunities that streamline workflows, improve service, and enhance decisionโmaking.
- Lead product & business enablement teams: Set vision and operating model for product owners, business enablement managers, and project managers, collaborating with business and technology leaders to shape and maintain outcomeโdriven product roadmaps that deliver measurable business results.
- Own portfolio, roadmap, and delivery discipline: Establish intake, prioritization, and governance; align investments to strategy; and ensure predictable, transparent delivery across crossโfunctional teams.
- Oversee data operations, reliability, and data products: Ensure stable pipelines and platforms through monitoring, incident response, and continuous improvement, and deliver trusted datasets that enable analytics, automation, and reporting.
- Drive enterprise integration and vendor partnerships: Oversee key thirdโparty relationships and integrations; define API/integration patterns; and ensure solutions are secure, reliable, and support endโtoโend business processes.
- Own productโlevel consent and privacy implementation: Ensure privacyโbyโdesign standards, consent language, preference centers, cookie and tracker management, and enforcement across CDP, CRM, ESP, ticketing, and downstream platforms are accurate, harmonized, and compliant with leagues and regulatory requirements.
- Ensure compliant handling of personal data across the product lifecycle: Require PIAs for new products and integrations, enable automated DSAR workflows, hold vendors accountable to privacy standards, maintain audit documentation, and serve as the executive escalation point when delivery timelines conflict with consent or compliance obligations.
- Establish data governance and quality standards: Define policies, stewardship, and controls to ensure accuracy, privacy, and secure access, enabling consistent measurement and trustworthy insights across the organization.
- Develop people and strengthen product, data, and delivery capabilities: Coach leaders and teams, build modern practices (product management, agile delivery, data engineering), and foster a culture of learning, accountability, and continuous improvement.
- Bring technical depth in software development and data engineering: Able to engage at the architecture level, guide modern engineering practices, and translate technical tradeoffs for business audiences.
- Demonstrate responsible AI/automation leadership: Experience moving from useโcase identification to scaled adoption with appropriate governance, security, privacy, and impact measurement.
Qualifications
- Bachelorโs degree in computer science, Information Technology, or a related field required. Masterโs degree in a relevant field a plus.
- 10 years of experience in progressive leadership roles managing teams.
- Extensive work experience with business product managers or as a product owner.
- Experience in building reference architectures.
- Handsโon technical experience with data and software systems, including working in SQL, writing light Python for data extraction and transformation, and collaborating directly with backend or fullโstack web technologies.
- Experience establishing AI within an enterprise setting and outlining AI strategy.
- Experience managing budgets and tracking spending against approved plans, forecasts, and outcomes.
- Clear and professional communication skills, capable of translating complex technical issues to nonโtechnical stakeholders.
- Collaborative, selfโdirected, and proactive approach to supporting both routine operations and strategic initiatives.
- High level of discretion and confidentiality.