VP, Technology Products & Solutions

AMB Group, LLC•Atlanta, GA

About The Position

This role serves as a solutions architect and platform strategist, partnering with business leaders to determine the best approach for utilizing existing platforms, introducing new capabilities, or integrating systems. The goal is to ensure solutions align with enterprise architecture standards, integration patterns, security requirements, and long-term scalability. The position also leads transformation and change management by driving the adoption of new platforms, products, and ways of working, including AI-enabled workflows, through clear communication, stakeholder engagement, training, and measurable outcomes. A key aspect is delivering digital capabilities through productized solutions, guiding the build/buy/partner approach for fan-facing and internal tools to ensure they are maintainable, well-adopted, and tied to clear business value. The role advances analytics and emerging technology innovation by championing a culture of data-informed decision-making, enabling self-service insights, defining meaningful KPIs, and evaluating emerging technologies like AI to improve customer experience, operations, and time-to-value. It also focuses on scaling AI and automation where it creates clear value, identifying, prioritizing, and delivering AI-enabled solutions with appropriate governance, along with other automation opportunities to streamline workflows, improve service, and enhance decision-making. The VP will lead product & business enablement teams, setting the vision and operating model for product owners, business enablement managers, and project managers, and collaborating with business and technology leaders to shape and maintain outcome-driven product roadmaps that deliver measurable business results. This includes owning the portfolio, roadmap, and delivery discipline by establishing intake, prioritization, and governance, aligning investments to strategy, and ensuring predictable, transparent delivery across cross-functional teams. Oversight of data operations, reliability, and data products is crucial, ensuring stable pipelines and platforms through monitoring, incident response, and continuous improvement, and delivering trusted datasets for analytics, automation, and reporting. The role drives enterprise integration and vendor partnerships by overseeing key third-party relationships and integrations, defining API/integration patterns, and ensuring solutions are secure, reliable, and support end-to-end business processes. Ownership of product-level consent and privacy implementation is essential, ensuring privacy-by-design 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. This includes ensuring compliant handling of personal data across the product lifecycle, requiring PIAs for new products and integrations, enabling automated DSAR workflows, holding vendors accountable to privacy standards, maintaining audit documentation, and serving as the executive escalation point when delivery timelines conflict with consent or compliance obligations. Establishing data governance and quality standards by defining policies, stewardship, and controls to ensure accuracy, privacy, and secure access is also a key responsibility, enabling consistent measurement and trustworthy insights across the organization. Finally, the role focuses on developing people and strengthening product, data, and delivery capabilities by coaching leaders and teams, building modern practices (product management, agile delivery, data engineering), and fostering a culture of learning, accountability, and continuous improvement.

Requirements

Bachelor’s degree in computer science, Information Technology, or a related field required.
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
Hands-on 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 full‑stack 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 non-technical stakeholders.
Collaborative, self-directed, and proactive approach to supporting both routine operations and strategic initiatives.
High level of discretion and confidentiality

Nice To Haves

Masters degree in relevant field a plus.
Demonstrate responsible AI/automation leadership: Experience moving from use-case identification to scaled adoption with appropriate governance, security, privacy, and impact measurement.

Responsibilities

Serve as a solutions architect and platform strategist, partnering with business leaders to determine when to use existing platforms, introduce new capabilities, or integrate systems—ensuring solutions align with enterprise architecture standards, integration patterns, security requirements, and long‑term scalability.
Lead transformation and change management by driving adoption of new platforms, products, and ways of working (including AI-enabled workflows) through clear communication, stakeholder engagement, training, and measurable outcomes.
Deliver digital capabilities through productized solutions by guiding the build/buy/partner approach for fan-facing and internal tools, ensuring solutions are maintainable, well-adopted, and tied to clear business value.
Advance analytics and emerging technology innovation by championing a culture of data-informed decision-making by enabling self-service insights, defining meaningful KPIs, and evaluating emerging technologies (including AI where appropriate) to improve customer experience, operations, and time-to-value.
Scale AI and automation where it creates clear value by identifying, prioritizing, and delivering AI-enabled solutions (with appropriate governance) and other automation opportunities that streamline workflows, improve service, and enhance decision-making.
Lead product & business enablement teams by setting vision and operating model for product owners, business enablement managers, and project managers, collaborating with business and technology leaders to shape and maintain outcome‑driven product roadmaps that deliver measurable business results.
Own portfolio, roadmap, and delivery discipline by establishing intake, prioritization, and governance; align investments to strategy; and ensure predictable, transparent delivery across cross-functional teams.
Oversee data operations, reliability, and data products by ensuring 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 by overseeing key third-party relationships and integrations; define API/integration patterns; and ensure solutions are secure, reliable, and support end-to-end business processes.
Own product‑level consent and privacy implementation by ensuring privacy‑by‑design 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 by requiring PIAs for new products and integrations, enabling automated DSAR workflows, holding vendors accountable to privacy standards, maintaining audit documentation, and serving as the executive escalation point when delivery timelines conflict with consent or compliance obligations.
Establish data governance and quality standards by defining 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 by coaching leaders and teams, building modern practices (product management, agile delivery, data engineering), and fostering a culture of learning, accountability, and continuous improvement.