Lead Product Manager-Analytics & Data Platforms

Lowe's Companies, Inc.•Charlotte, NC

4d•Onsite

About The Position

The Lead Product Manager will define and execute product strategy for Lowe’s analytics platforms, enabling near real-time insights, strengthening data ownership, and accelerating analytics modernization across the enterprise. This role partners closely with engineering, analytics, and business stakeholders to deliver scalable, high-quality data products and self-service capabilities that improve speed to insight, operational efficiency, and decision quality. This includes enhancing capabilities across digital analytics and customer behavior platforms, such as clickstream analytics, event tracking, journey analysis, and funnel and attribution reporting. The role also ensures platform reliability and continuity for a large enterprise user base. This role is critical to maximizing ROI on Lowe’s analytics investments and enabling faster, more informed decision-making across the enterprise.

Requirements

Bachelor’s degree in Business, Computer Science, Engineering, Analytics, or related field (or equivalent experience)
7+ years of experience in product management, data/analytics, or related technical roles
3+ years of experience owning product roadmap, prioritization, and delivery for analytics or data platforms
Experience working cross-functionally with engineering, analytics, and business stakeholders to deliver end-to-end solutions
Strong understanding of data and analytics ecosystems (e.g., BI tools, data modeling, SQL, data pipelines)
Demonstrated ability to independently drive execution, manage competing priorities, and deliver measurable business outcomes

Nice To Haves

Experience leading enterprise-scale analytics or data platform products
Experience with enterprise digital analytics and customer behavior platforms (e.g., clickstream analytics, event tracking, journey analysis, funnel and attribution reporting)
Experience operating with a high degree of autonomy and influencing product direction across multiple teams
Familiarity with modern data architectures (e.g., cloud data platforms, real-time processing)
Experience building and scaling self-service analytics solutions
Exposure to AI/ML or advanced analytics use cases
Strong stakeholder management and communication skills, including experience working with senior leadership
Experience supporting platforms with large, enterprise user bases and high reliability expectations

Responsibilities

Define and drive product strategy and roadmap aligned to enterprise priorities
Lead prioritization and execution across cross-functional teams to deliver measurable outcomes such as speed to insight, data quality, and adoption
Build and scale self-service analytics and standardized data products to improve usability and access to insights
Establish strong product and platform practices to ensure data quality, reliability, and performance
Partner with engineering teams to support platform operations, administration, and service reliability at scale