Senior Director, User Experience Design

About the Job:

Red Hat is seeking a seasoned, visionary and strategic leader to join our team as the Senior Director of User Experience. In this role, you will be responsible for driving the strategic vision, resource management, organizational planning and tactical implementation of user-centric experiences across our product portfolio. You will lead a high-performing team of UX designers, researchers and engineers to understand customer and partner needs, and you will identify and plan for emerging opportunities to set the business up for future success. Success requires close collaboration with cross-functional stakeholders to align UX initiatives with business objectives and ensure a cohesive end-to-end user experience strategy.

What You Will Do:

Strategic Leadership & Vision

• Define and champion the overarching user experience vision and strategy in alignment with company goals and market trends

• Shape and drive the long-term technical strategy for a major product or service in collaboration with the Business Unit (BU) Partner

• Translate high-level business goals into actionable engineering strategies and ensure the UX function is a core component

• Influence the portfolio and organizational strategy by building strong executive relationships across the BU, cross-functional engineering teams, and operations (People, Finance, etc.)

• Provide thought leadership on emerging UX trends, methodologies, and technologies, advocating for continuous innovation and improvement

Organizational Leadership & High-Performing Culture

• Recruit, mentor, and inspire a high-performing team of UX designers, researchers and prototypers

• Sponsor leadership development programs both within your domain and the broader organization, including rotational programs and stretch assignments

• Champion organizational structures and cultural practices that promote collaboration and ownership both within your domain and the broader organization

• Foster a culture of creativity, collaboration and excellence that embodies open source principles, empowering team members to achieve their full potential

• Establish clear goals, KPIs and performance metrics to evaluate organizational performance and drive continuous growth and development

Data-Driven Customer Centricity & Operational Excellence

• Drive a systemic, customer-first mindset across a large user experience organization.

• Lead and oversee the end-to-end design process, from user research and concept ideation to prototyping, testing, and iteration

• Champion a data-driven culture within your organization, utilizing analytics and financial insights to inform strategic decisions

• Monitor key UX metrics and performance indicators, using data-driven insights to inform decision-making and prioritize areas for improvement

• Lead coherent efforts in areas identified for continuous improvement and determine the course of action for organization-wide engineering efforts, to include establishing and refining processes for a highly efficient, scalable and reliable software delivery model

Transformative Thinking and the Application of AI in UX

• Identify and champion breakthrough ideas, challenging conventional wisdom to develop innovative solutions

• Initiate and sponsor ambitious, cross-organizational initiatives that disrupt or create new capabilities for the organization

• Lead the integration of Artificial Intelligence (AI) to amplify the User Experience function's impact

• Automate UX Research and Data Analysis by directing the use of AI to analyze vast amounts of user interaction data, synthesize qualitative research (like interviews and surveys), perform sentiment analysis, and identify patterns and insights that would be time-consuming for associates to do manually

• Accelerate design iteration and prototyping through championing AI tools that streamline repetitive tasks like A/B testing, generate design suggestions, assist in wireframing and create functional prototypes from sketches, freeing up designers for complex, creative problem-solving

• Enable hyper-personalization:; utilize AI's predictive analytics capabilities to help teams forecast user needs, behavior, and preferences, allowing for the design and delivery of real-time, personalized