We're looking for a Staff-level Senior PM that will strategically define and execute the data ecosystem vision, focusing heavily on enabling self-service data consumption across the organization.
You'll bridge the gap between Data and Risk analysts, Data Engineering, Data Science, and business units, ensuring our data assets are high-quality, discoverable, and packaged as successful products that unlock measurable business value.
This role offers the unique opportunity to shape the core data infrastructure powering our next generation of products while working with cutting-edge technology and a team dedicated to innovation.
Responsibilities
Product Strategy and Vision: define and champion the product vision and roadmap for our data products (e.g., internal analytics platforms, external data APIs, machine learning model outputs, core data pipelines).
Stakeholder Collaboration: Serve as the primary liaison between data scientists, data engineers, software engineers, and business stakeholders to gather requirements, prioritize features, and manage expectations.
Requirements Definition: Translate complex business problems and user needs into clear, actionable user stories, functional specifications, and acceptance criteria for data products.
Self-Service Enablement: design and optimize data products to maximize self-service consumption. This includes curating accessible datasets, developing intuitive interfaces, and ensuring data assets are well-documented and easily discoverable by business users.
Data Tool Ownership: Drive the adoption, feature roadmap, and success of our core services; empower analysts and business users with direct data access.
Prioritization and Roadmap Management: Manage the backlog for data product development, making tough trade-off decisions based on business impact, technical feasibility, and strategic alignment.
Product Launch and Adoption: plan and execute successful product launches, including go-to-market strategies, documentation, and driving adoption of data products across the organization.
Performance Measurement: Define, track, and analyze key performance indicators (KPIs) for data products (e.g., data quality, latency, usage, business impact, cost) to ensure product success and inform iterations.
Requirements: 5+ years of product management experience, with at least 3 years specifically managing data products, data platforms, or analytics tools
2+ years of hands-on experience with Intermediate SQL and analytics skills
Understanding of NoSQL methodology, data modeling, and ML models.
Demonstrated expertise in Self-Service tools; a proven ability to increase data literacy and drive tool adoption within an organization
Strong technical fluency in the data domain, including a working understanding of:
Experience in public cloud service providers (AWS, Azure, GCP)
Data warehousing tools (e.g., Snowflake, BigQuery, Redshift)
Big Data Processing Frameworks (e.g. Apache Spark, DataBricks)
ETL/ELT processes and data pipelines (e.g., Airflow, DBT)
Data governance, quality, and security principles.
Understanding of streaming architecture
Fluency in GDPR / CCPA / 7216 restrictions regulations.
This position is open to all candidates.