Are you ready to shape the Data Strategy of an entire organization? If so, this is your opportunity to leverage your expertise and work alongside some of the brightest minds in the industry. In this role, you will help build robust, scalable, and secure data and cloud solutions that support our business objectives. Join us and pave the way for a better tomorrow through impactful architecture leadership.

• As a Vice President
• Domain Architect in IP's Infrastructure Data Platforms Product Line, you will design, implement, and oversee data platforms and cloud infrastructure. You will collaborate with cross-functional teams to define data strategies, manage data governance, and optimize data workflows. Your leadership will ensure that our solutions are secure, scalable, and aligned with business needs.

Job responsibilities

• Provide architecture guidance and mentor product teams on new initiatives
• Anticipate dependencies with other teams to deliver data and cloud architecture solutions aligned with business requirements
• Manage stakeholder relationships and team activities in accordance with compliance standards, service level agreements, and business requirements
• Oversee data governance, data quality, metadata management, and data lifecycle processes
• Evaluate and recommend new technologies, tools, and frameworks to enhance data platform capabilities
• Create and maintain architecture diagrams, technical documentation, and data management policies

Required qualifications, capabilities, and skills

• Formal training or certification on Architect concepts and 5+ years applied experience
• Proven experience in data architecture, data management, and platform implementation
• Strong knowledge of data modeling and cloud data platforms (e.g., AWS, Azure, Google Cloud)
• Experience with data governance, data quality, and compliance frameworks
• Programming language proficiency: Deep knowledge of at least 1 programming language (e.g.
• Python, Java)
• Excellent problem-solving, communication, and leadership skills
• Exceptional interpersonal skills; able to collaborate effectively with diverse stakeholders across business units, technical teams, and leadership
• Demonstrated ability to navigate and influence within large, matrixed organizations with multiple priorities and competing interests
• Strong organizational and time management skills; able to manage multiple projects and deadlines in a fast-paced environment
• Adaptability and resilience; comfortable with ambiguity and able to pivot quickly as business needs evolve

Preferred qualifications, capabilities, and skills

• System Design & Architecture: Expertise in designing distributed systems, microservices, event-driven architecture, and layered patterns
• Exposure to Traditional AI and Generative AI Engineering