Note: The job is a remote job and is open to candidates in USA. Asurion is seeking a hands-on Director of Product Management to own the strategy and roadmap for its Data Platform. The role will build foundational data capabilities, enable self-service data use, and align teams around a shared platform vision.

Responsibilities

• Own the Data Platform roadmap: from ingestion and pipeline orchestration to data catalog, lineage tracking, access governance, and the self-service analytics layer
• Define how teams onboard data to the platform — establishing contracts, SLAs, quality checks, and documentation standards that make data trustworthy at the source
• Drive the self-service experience — so analysts and data scientists can discover, access, and use data in tools like Databricks notebooks or Snowflake without filing tickets
• Partner with engineering on architecture decisions: when to use streaming vs. batch, how to structure the lakehouse, what belongs in the warehouse vs. the lake
• Align data engineering, analytics, data science, security, and business stakeholders around a shared platform vision
• Hire, develop, and lead a high-performing team of data-fluent PMs

Skills

• 10+ years in product management, with a significant focus on data platform, infrastructure, or analytics products
• Fluency with the modern data stack: Databricks (Delta Lake, Unity Catalog, MLflow), Snowflake, Amazon EMR/Spark, and cloud-native data services on AWS or GCP
• Experience building or evolving core platform capabilities: data catalog, metadata management, column-level lineage, pipeline orchestration (Airflow, dbt, or similar), RBAC, and data quality frameworks
• Understands the producer/consumer dynamic — knows that a great platform is as much about how data gets in as how it gets used
• Proven cross-functional leadership; strong communicator from the board room to the engineering standup
• Customer-obsessed with a strong bias for outcomes over output
• Experience standing up a data mesh or domain-oriented data ownership model
• Familiarity with ML/AI workflows and feature stores that consume platform data
• Background partnering with security and privacy teams on governance at scale

Benefits

• A flexible hybrid work model

Company Overview

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