Senior Product Manager, Retail Applications & Data Insights

Sephora is a company dedicated to beauty and inclusivity, and they are seeking a Senior Product Manager for Retail Applications & Data Insights. In this role, you will drive the development of store applications and data insights, shaping tools that enhance store associates' decision-making and client experiences.

Responsibilities:

• Own the product roadmap and backlog for assigned products within Retail Applications & Data Insights, translating business and store priorities into clear user stories, acceptance criteria, and prioritization decisions aligned to portfolio strategy
• Lead product discovery activities — including user research, store visits, and insight synthesis — while driving learning through experimentation, post-launch analysis, and continuous improvement
• Define and track KPIs, ensuring outcomes are measurable and insights inform roadmap adjustments
• Leverage AI-enabled tools (e.g., Copilot, Claude) to accelerate the creation and iteration of product artifacts including PRDs, problem statements, opportunity assessments, user stories, and acceptance criteria — while applying strong product judgment to validate assumptions, data accuracy, and alignment to business priorities
• Partner with Engineering, UX, Analytics, and Retail Operations to align on priorities, scope, and tradeoffs, leading agile ceremonies and maintaining a strong operating cadence across planning, reviews, and retrospectives
• Proactively identify and remove blockers, manage stakeholder expectations, and communicate product decisions, trade-offs, and outcomes clearly to diverse audiences
• Develop a working knowledge of end-to-end store applications, platforms, and data flows, contributing to platform and architecture discussions and ensuring product decisions consider long-term maintainability, platform health, and data quality

Requirements:

• 5–7 years of product management experience delivering digital products in complex environments, with retail or omni-channel experience preferred
• Bachelor's degree in business, technology, analytics, or a related field (or equivalent practical experience)
• Proven expertise in product ownership, including roadmap management, backlog prioritization, and strong prioritization trade-off decision-making, paired with clear, audience-appropriate written and verbal communication
• Demonstrated ability to drive data-informed decision-making, including KPI definition, outcome measurement, and systems thinking across applications, platforms, and data
• Hands-on proficiency with AI tools (e.g., Claude, ChatGPT, Microsoft Copilot) to create, iterate, and communicate product artifacts — while applying critical thinking, validation, and domain expertise to every output
• experience in analytics product management, instrumentation and telemetry, insight-to-action workflows, and familiarity with BI tooling such as Tableau and ThoughtSpot