AI Key Account Manager - Service Designer

Oxy • Houston, TX

4d • Hybrid

About The Position

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business. We are looking for an experienced and innovative individual contributor to fill the position of AI Key Account Manager within our AI Center of Excellence group based in Houston, TX. This role is hybrid and reports to the AI Lead Key Account Manager. This is a research-heavy, systems-oriented design role. You will spend time with users, map complex workflows, facilitate workshops, synthesize findings, and help cross-functional teams move from ambiguous business problems to practical AI solutions that people can trust and use.

Requirements

• Bachelor’s degree in UX Design, Human-Computer Interaction, Industrial Design, Service Design, Information Architecture, or related discipline is required.
• A minimum of 3 years of experience in UX design, service design, or UX research in an enterprise or industrial environment.
• Demonstrated experience with service design, ethnographic research, prototyping, and process mapping methodologies.
• Strong portfolio showcasing end-to-end design thinking, from research and discovery through prototyping and validation, in complex enterprise contexts.
• Excellent organizational and communication skills, including the ability to facilitate workshops with diverse stakeholders.
• Proficiency with UX design and prototyping tools (e.g., design software, whiteboarding platforms, process mapping tools – Miro, Mural, Figma, or similar).
• Ability to synthesize large amounts of qualitative and quantitative information into clear, actionable insights.
• Strong collaboration skills with the ability to work across disciplines (engineering, data science, business) in a fast-paced environment.

Nice To Haves

• Experience in the energy, oil and gas, or industrial enterprise sector is highly preferred.
• Familiarity with AI/ML concepts and an understanding of how AI augments enterprise workflows.
• Experience with process mining, workflow analysis, or operational excellence methodologies.
• Experience designing for data-intensive or technical user audiences.
• Knowledge of change management principles and user adoption strategies.

Responsibilities

• Deeply understand and map complex end-to-end enterprise workflows (e.g., rig scheduling, reserves process, subsurface technical assurance reviews) to identify where AI augmentation can deliver the most value.
• Conduct user research, including ethnographic studies, interviews, and contextual inquiry, to understand how teams and individuals operate within complex processes.
• Create visual mockups, wireframes, and interactive prototypes of proposed AI solutions following discovery workshops, enabling stakeholders to align around a shared vision.
• Design service blueprints and journey maps that illustrate current-state workflows and proposed future-state experiences with AI integration.
• Facilitate and participate in cross-functional workshops alongside account managers, engineers, product owners, and business stakeholders to define problems and co-create solutions.
• Translate complex process findings into clear, compelling visual artifacts (diagrams, flows, storyboards) that drive faster stakeholder alignment and decision-making.
• Support change management efforts by designing user-facing training materials, onboarding guides, and documentation for deployed AI solutions.
• Collaborate with engineering teams to ensure design feasibility and maintain design quality through implementation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level