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# Manager, Technical Program Management

- **Company:** Paramount Pictures
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,000.0 - $186,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Automation of Tests, BigQuery, Cloud Database, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Data Intelligence, Data Streaming, Snowflake, Serverless Computing, Amazon Redshift
- **Published:** September 3, 2026
- **Apply:** https://careers.paramount.com/talentcommunity/apply/1425728100/?locale=en_US

## About the Role

5+ years of experience in AI/ML-specific Technical Program Management, Engineering
Program Management, or a related role delivering complex, multi-team technical systems
data platform or data engineering program experience strongly preferred.
Demonstrated experience leading cross-functional programs in a matrixed environment with
multiple stakeholders and competing priorities.
Solid ability to identify technical risk, manage interconnected workstreams, and communicate
clearly across technical and non-technical partners.
Proven ability to operate in ambiguity and bring structure to a fast-moving, still-evolving
platform integration.

## Description

We're seeking a Manager, Technical Program Management to drive execution for Applied
Intelligence Data Engineering (AIDE), the team behind the ETL and streaming data platform
powering analytics, personalization, and applied ML across Paramount+ and Pluto TV. You'll
own delivery of AIDE's highest-visibility initiatives bringing program structure to a fast-
shifting environment and becoming the delivery engine for AIDE's product roadmap.
Key Responsibilities
Program Execution & Delivery Leadership
Drive end-to-end coordination for an in-flight product integration and a larger upcoming
onboarding of product lines onto AIDE's unified data platform, from inception through full
production cutover.
Define scope, milestones, sequencing, reporting & dashboarding for senior executive team and stakeholders.
Bring systems thinking and technical judgment to pipeline and infrastructure tradeoffs, and
influence outcomes across a matrixed set of stakeholders without formal authority.
Risk Mitigation & Issue Resolution
Own cross-team dependency tracking and priority alignment across technology touchpoints.
Proactively identify technical and delivery risks integration gaps, data-quality regressions,
ingestion reliability, infrastructure capacity and drive mitigation with accountable owners.
Facilitate root-cause clarity on complex, blocking issues; surface tradeoffs and escalate
decisions with crisp options and recommendations.
Cross-Functional Communication
Partner with engineering, and adjacent product teams to align milestones and ensure delivery.
Translate technical tradeoff discussions into clear plans for both technical and non-technical
audiences.
Provide clear, executive-ready updates on status, risks, decisions, and tradeoffs to team and org management., Working knowledge with the following is preferred deep hands-on engineering is not
required, but comfort discussing these systems with engineers is.
Event pipelines and streaming message platforms, and how raw client events flow into a data
warehouse for downstream reporting and ML.
Cloud data warehousing (e.g., BigQuery, Snowflake, Redshift) and workflow orchestration
tools (e.g., Airflow) for ETL/ELT scheduling.
We use containerized services and cloud-native services. We also practice infrastructure as code. This means we manage our production environment proficiently.
pipelines at scale.
We perform automated testing to ensure data quality and check for regressions. We also focus on detecting anomalies. Additionally, we use tools for business intelligence and creating dashboards.
Hands-On With AI-Assisted Development Tools
Knowledge with the same modern tooling our engineers use. Candidates should be comfortable using AI coding assistants. These tools will help them improve their program management workflows. They can also increase productivity. They provide reporting and dashboards, and they automate parts of our product development operating model. This isn't a requirement to write consumer facing code; it's an expectation of genuine day-to-day fluency with AI-assisted coding as a way of working faster and more individually.


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