Lead Product Manager - AI Assistant

Lead Product Manager - AI Assistant

At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we're constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

At The Walt Disney Company, we are committed to delivering extraordinary experiences to our employees through innovative digital solutions. As a global leader in entertainment and media, we are seeking a Lead Product Manager to join our Digital Experience and Strategy team within Workforce Technology (WFT). This role is pivotal in shaping our AI‑enabled digital product strategy, ensuring a trusted, intuitive AI chatbot experience that exceeds employee expectations while delivering measurable business outcomes.

What You'll Do:

• Product Strategy & Vision: Define and articulate the product vision, strategy, and roadmap in alignment with business outcomes and employee needs. Identify new product opportunities and emerging trends, particularly in the context of AI and digital innovation.
• Stakeholder Management: Partner with senior executives, stakeholders, and cross-functional teams to gather requirements, set priorities, and ensure alignment. Effectively communicate product roadmaps, progress, and OKRs to all relevant parties.
• Market & User Research: Collaborate closely with the Product Design team to conduct market research, user interviews, and data analysis. Use insights to inform product decisions and drive innovation, with a focus on integrating AI-driven solutions.
• Product Development: Lead the end-to-end product lifecycle, including ideation, development, testing, and launch. Define clear product requirements and user stories, and work with engineering and design teams to deliver high-quality, AI-enhanced products.
• Performance Monitoring: Establish OKRs and KPIs to measure product success. Analyze product performance, gather user feedback, and use data-driven insights to continuously improve and optimize the product.
• Team Leadership: Mentor and guide junior product managers and team members. Foster a collaborative and high-performing team environment.
• Go-to-Market Strategy: Develop and execute go-to-market strategies in collaboration with business and communication teams. Ensure successful product launches and widespread adoption.

Required Qualifications & Skills:

• Minimum of 7 - 10 years of experience in product management, with a proven track record of delivering complex digital products.
• Experience at a big 5 consulting firm is a plus.
• Demonstrated expertise in integrating AI strategies into product development is essential.
• Strong understanding of product management methodologies, frameworks, and best practices (e.g., jobs-to-be-done, journey mapping, persona-definition).
• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Proven experience with Agile/Scrum methodologies and product development processes.
• Exceptional communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
• Experience with employee experience platforms and AI-driven product enhancements.

Preferred Qualifications:

• Strategic thinker with a customer-centric approach and a passion for innovation.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Strong leadership and mentoring abilities, with a collaborative and team-oriented mindset.

Required Education:

• Bachelor's degree in Business, Computer Science, Engineering, or a related field. An MBA or advanced degree is a plus.