Vice President Technology, Enterprise Architecture & Enterprise Data

Keurig Dr Pepper•Frisco, TX

9d•$218,800 - $310,000

About The Position

Keurig Dr Pepper is seeking a senior technology executive to define and execute the enterprise technology, data, and architecture strategy. The position oversees enterprise data platforms, integration services, core enterprise platforms, master data management, data governance, enterprise architecture, and foundational engineering capabilities that enable business growth, operational excellence, and digital transformation. The Vice President partners with executive leadership, business stakeholders, product teams, cybersecurity, infrastructure, and application leaders to align technology investments with business objectives and create scalable, secure, data-driven capabilities across the enterprise. As a member of the technology leadership team, this leader drives innovation, architectural modernization, platform standardization, data enablement, and governance while developing high-performing teams and a culture of engineering excellence. The role leads enterprise data strategy and platforms, a portfolio of enterprise data products, enterprise integration services, and foundational enterprise platforms. It establishes master data management and data governance strategies and processes, defines enterprise architecture principles and roadmaps, guides architecture decisions across application, data, infrastructure, integration, and cloud domains, and champions engineering excellence and modern development practices. The Vice President also advises executives, translates business objectives into technology and data roadmaps, influences enterprise investment decisions, builds cross-functional partnerships, and leads workforce planning, succession planning, and talent development.

Requirements

Master’s or bachelor’s degree in a related field, such as computer science, computer engineering, electrical engineering, information technology, or system analysis, or an equivalent combination of education and work experience.
15+ years of progressive technology leadership experience, including significant responsibility for enterprise architecture, data management, engineering, or platform organizations.
Typically 10+ years of experience in IT and business/industry, including strategic and operations planning.
Typically 10+ years of experience in at least three disciplines, such as business, information, solution, or technical architecture; application development; middleware; information analysis; database management; or operations.
Experience working across multiple, diverse technologies and processing environments.
Demonstrated success developing and executing enterprise technology and data strategies.
Experience leading enterprise-scale digital transformation, modernization, and platform initiatives.
Proven track record partnering with executive leadership and influencing enterprise-level decisions.
Experience building and scaling high-performing technology organizations.
Native-level proficiency or fluency in English.
Experience in DevOps and Agile technology environments.
Expert knowledge of SDLC methodologies, such as waterfall, spiral, SAFe, Agile, rapid prototyping, and DevOps.
Proven mastery of enterprise architecture domains spanning SaaS, cloud infrastructure (IaaS/PaaS), service-oriented architecture, API integration, microservices, automation frameworks, and data analytics platforms.
Ability to simplify complex technical topics, enable the organization, accelerate business and IT agendas, and improve organizational effectiveness and efficiency.
Expert knowledge of business models, operating models, financial models, cost-benefit analysis, budgeting, and risk management.
Deep knowledge of basic graphical modeling approaches, tools, and model repositories.
Expert skills in maintaining collaborative relationships, influencing leadership, and communicating effectively with executives and intended audiences.
Ability to work effectively in a team environment and lead cross-functional teams, including communicating and working across diverse stakeholders and outsourced environments.
Ability to analyze and translate future-state business capabilities and requirements into information architecture requirements.
Ability to support teammate development by sharing knowledge and experience.
Executive presence and ability to influence stakeholders at all organizational levels.
Strategic thinking and ability to translate business priorities into actionable technology roadmaps.
Strong business acumen and financial management capabilities; ability to lead through complexity, ambiguity, and organizational change.
Exceptional communication, relationship-building, and stakeholder management skills.
Ability to balance innovation, risk management, operational excellence, and business outcomes.
Expertise in enterprise architecture frameworks and operating models; data strategy, platforms, analytics, and data product management; master data management and enterprise data governance; cloud platforms and modern infrastructure; API management, integration platforms, and event-driven architectures; digital transformation and application modernization; platform engineering, DevSecOps, and engineering best practices; cybersecurity, risk, compliance, and technology governance; and AI, analytics, and emerging technology trends.

Responsibilities

Define and execute the enterprise data and analytics strategy in alignment with business objectives.
Lead enterprise data platform architecture, modernization, and operational excellence initiatives.
Establish scalable, secure data ecosystems supporting operational, analytical, AI, and reporting requirements; optimize data architecture, quality, accessibility, and lifecycle management.
Establish and lead enterprise data products that deliver measurable business value, including self-service analytics, operational intelligence, customer insights, and advanced analytics.
Partner with business leaders to prioritize data product roadmaps and define product ownership, funding models, KPIs, and adoption strategies.
Own enterprise integration strategy, architecture, and shared integration platforms; establish standards for APIs, event-driven architecture, data integration, and application connectivity.
Modernize and simplify enterprise integration capabilities and ensure integration services are scalable, resilient, and secure.
Provide executive leadership for foundational enterprise platforms, driving rationalization, modernization, scalability, adoption, reliability, performance, security, and business value.
Align platform investments with strategic priorities in partnership with business and technology leaders.
Establish enterprise-wide master data management strategies, governance processes, and stewardship models.
Lead governance councils and frameworks that ensure data consistency, integrity, ownership, and compliance; improve data quality and standardize business definitions.
Incorporate regulatory, compliance, privacy, and risk requirements into data governance practices.
Define and maintain enterprise architecture strategy, principles, standards, and roadmaps, including target-state architectures that support growth, acquisitions, modernization, and innovation.
Lead architecture governance for major technology investments and transformation initiatives, and guide application, data, infrastructure, integration, and cloud architecture decisions.
Champion engineering excellence, platform engineering, automation, and modern development practices; drive adoption of emerging technologies that enhance business capabilities and competitive advantage.
Advise executive leadership on technology, data, and architecture strategy; translate business objectives into actionable technology and data roadmaps.
Influence enterprise investment decisions through technology assessments and strategic planning; build partnerships across business functions, technology teams, and external partners.
Build and develop high-performing architecture, engineering, platform, and data organizations; foster accountability, innovation, collaboration, and continuous improvement.
Lead workforce planning, succession planning, and leadership development; attract, retain, and mentor technology and data talent.