Lead Product Manager - Data Platforms

About This Role

The Lead Product Manager for Asynchronous File Movement product space will lead file movement strategy and align capabilities supporting enterprise-wide data movement across 84.51° and Kroger's data ecosystems. This role defines problems, validates solutions with users, and delivers measurable value while balancing various factors to ensure product direction aligns with business priorities.

Responsibilities

• Shape long-term product vision, connecting platform capabilities to broader business objectives and ensuring alignment across user needs and strategy.
• Maintain a 12-month delivery roadmap that articulates how work progresses strategic outcomes and integrates business priorities, user research/needs, and cross-functional dependencies.
• Translate business goals, user needs, and technical constraints into product requirements and acceptance criteria.
• Partner with Data Program leadership, engineering, and data science leads to plan quarters/cycles/sprints and ensure efficient, predictable delivery.
• Own, define, and evolve core data platform file movement capabilities, including fast, asynchronous data movement with smooth ingestion, built-in observability, and data quality checks.
• Monitor leading and lagging indicators for product health: adoption/activation/engagement, reliability, and operability.
• Track user sentiment via industry standard metrics and use insights to influence product strategy, vision, and priorities.
• Maintain a customer panel and map key stakeholders such as architecture, governance, security/privacy, finance, operations, and vendors.
• Build and maintain a strong cross-functional communication plan ensuring alignment between users, Kroger, 84.51°, vendors, and adjacent product teams.
• Analyze product usage and operational data to inform prioritization, measure value, and guide iteration.
• Drive adoption across internal teams through documentation, enablement, demos, and feedback loops; remove friction points and champion best practice.

Requirements

• Professional experience leading product strategy for internal, enterprise-level data platform capabilities.
• Professional experience managing highly technical development teams in an agile environment.
• Professional experience aligning and influencing cross-functional teams across organizational boundaries.
• Skilled in managing technical tradeoffs (scale, reliability, latency, data contracts, data quality, isolation, and FinOps/cost requirements) against long term plan and strategy.
• General technical acumen, able to efficiently converse with software engineers, data engineers, and data scientists.
• Skilled in managing end-to-end software product development.
• Skilled in problem solving, analytic thinking, and creativity.
• Skilled in planning, organization, and verbal/written business communication.

Qualifications

• Bachelor's degree or higher or equivalent professional experience
• 4-6 years relevant experience

Skills

* Required skills

Benefits