Remote Position
[Remote] Director, Product Management - Data Platform
🌍 Remote · United States
💼 Full-time
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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