Sr. Data Product Manager

Paramount • Burbank, CA

1d • $110,000 - $166,000

About The Position

The Applied Intelligence team is seeking a Senior Data Product Manager to guide the strategy, execution, and operational excellence of enterprise data production platforms. The role turns raw data into trusted, scalable data products that power analytics, APIs, machine learning, and applications. Working between Data Engineering and Software Engineering, the manager defines, prioritizes, and scales reliable data systems, owning the data product lifecycle from ingestion and modeling through delivery, SLAs, and measurable value.

The position focuses on building scalable, production-grade data systems that support analytics, real-time processing, AI/ML, and high-volume workloads. It requires technical fluency, product judgment, and operational management, as well as collaboration with engineering partners and communication of platform capabilities, roadmaps, constraints, and business value.

Requirements

• At least 5 years of product management experience with significant ownership of data platforms, infrastructure, or analytics systems.
• Proven experience delivering large-scale, cross-functional technical initiatives and managing complex backlogs against stakeholder needs.
• Solid knowledge of modern data architectures, including data lakes, warehouses, and lakehouse models, and ETL/ELT pipelines.
• Working knowledge of streaming and event-driven architectures such as Kafka and Pub/Sub, APIs, and microservices.
• Skill in planning, prioritization, program management, and defining measurable KPIs for technical platforms.
• Clear written and verbal communication with technical and executive audiences.
• Systems thinking, sound technical and business judgment, and a structured, metrics-driven, outcome-oriented approach.
• Interest in building reliable, production-grade data systems that deliver measurable impact.

Nice To Haves

• Experience with AI/ML feature engineering pipelines, data governance, and regulatory compliance.
• Background in high-scale, real-time production data environments.

Responsibilities

• Define and guide the roadmap for scalable data ingestion, transformation, modeling, and serving platforms.
• Prioritize initiatives that improve data reliability, quality, performance, and cost efficiency.
• Set a product vision for data assets, APIs, and self-service capabilities, leading end-to-end data lifecycle management.
• Define data production standards, including SLAs, freshness targets, quality thresholds, and availability metrics.
• Partner with Data Engineers and Software Engineers on architecture, pipelines, API contracts, and data access patterns.
• Establish intake, prioritization, and delivery frameworks, with KPIs for pipeline health, adoption, reliability, and latency.
• Coordinate planning cycles for data platform investments and address technical debt and scalability risks early.
• Ensure data systems can support real-time, AI/ML, and high-volume analytical workloads.
• Translate complex business requirements into scalable product requirements and participate in design reviews.
• Communicate platform capabilities, roadmap sequencing, and constraints, and report on business value delivered.

Benefits

• Medical, dental, and vision coverage.
• 401(k) plan.
• Life insurance coverage and disability benefits.
• Tuition assistance program.
• PTO and generous paid time off.
• Bonus eligibility.
• Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products.
• Employee engagement opportunities, including exclusive screenings and events, speaker series, and volunteer activities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed