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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # lululemon Technology Director, Program and Product Management, Enterprise Data and AI - **Company:** LULULEMON - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $205,900.0 - $270,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Data Governance, Software Product Management, Enterprise Data Management, Functional Dependencies, Information Technology, Data Management - **Published:** July 29, 2026 - **Apply:** https://www.businessoffashion.com/careers/external-redirect-registration?JobId=316238&LinkSource=JobDetails ## About the Role * Bachelor's degree in Business , Computer Science, Engineering, or a related field; Master's degree is an asset. * 10+ years of experience leading enterprise product management,technicalprogram management,orportfolio delivery within technology organizations. * Experience delivering large-scale data, AI/ML, analytics, or platform initiatives across multiple business and technology teams. * Demonstrated success defining product roadmaps, managing cross-functional portfolios, and translating business strategy into executable delivery plans. Experience in retail context preferred. * Experience leading product discovery, prioritization, and proof-of-concept initiatives for emerging technologies. * Strong understanding of agile product development, portfolio management, and software delivery practices. * Experience developing strategic technology partnerships and evaluating external vendors and solutions. * Exceptional stakeholder management, communication, and executive influence skills with the ability to build alignment across business and technology organizations * Proven experience hiring, developing, and leading high-performing global teams. must haves * Acknowledge the presence of choice in every moment and take personal responsibility for your life. * Possess an entrepreneurial spirit and continuously innovate to achieve great results. * Communicate with honesty and kindness and create the space for others to do the same. * Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. * Foster connection by putting people first and building trusting relationships. * Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously. ## Description The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon's vertically integrated retail ecosystem, while embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency. core responsibilities As a Director, Product & Program Management, you will be accountable for defining and executing the Enterprise Data & AI product portfolio, ensuring the successful delivery of AI and data capabilities that create measurable business value. You will lead the technical product and program management function that connects business priorities with the Data and AI platform engineering, AI initiatives, and AI research teams, and you will partner with business stakeholders to deliver enterprise-scale AI solutions and data and AI services. You will establish the operating rhythm for defining the enterprise AI priorities, portfolio planning, prioritization, execution, and reporting, while shaping the enterprise roadmap for AI and data use cases. Working closely with business leaders, you will identify opportunities to accelerate value through AI, manage strategic technology partnerships, and enable rapid experimentati on with emerging technologies through safe and scalable proof-of-concept processes. Select responsibilities include: Lead product strategy and portfolio management * Define and evolve the Enterprise Data & AI roadmap by partnering with business stakeholders to prioritize AI and data use cases that balance near-term value with long-term strategic impact. * Gather enterprise requirements, manage product backlogs, and align business objectives with priorities for the science and engineering teams. Drive technical program execution and governance * Own execution of the Enterprise Data & AI portfolio byestablishingplanning, governance, reporting, and delivery rhythms that ensure predictable outcomes * Proactively manage cross-functional dependencies, risks, blockers, and prioritization decisions across business and technology teams. Accelerate innovation and partnerships * Identify and lead priority proof-of-concept initiatives with business owners and AI use case leads, implementing lightweight experimentation processes that safely evaluate emerging technologies and vendors. * Develop strategic partnerships with external technology providers to accelerate delivery of enterprise AI capabilitiesand solutions. Build organizational capability * Build and lead a high-performing global technical Product & Program Management organization, fostering a culture of accountability, collaboration, operational excellence, and continuous improvement. * Partner across Enterprise Data & AI, Technology, and business functions to enable adoption of enterprise AI and data capabilities and deliver measurable business outcomes. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Reinventing Work, Identity & Leadership in a Changing World](https://www.wearedevelopers.com/videos/1821-reinventing-work-identity-leadership-in-a-changing-world) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Women in Tech: Navigating Career Transitions and Breaking Barriers](https://www.wearedevelopers.com/magazine/491-women-in-tech-navigating-career-transitions-and-breaking-barriers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)