Manager, Product

NBCUniversal•Universal City, CA

1d•$110,000 - $150,000•Hybrid

About The Position

The Manager, Product will lead the product strategy, roadmap, operating model, and execution of complex Enterprise Rights Management technology initiatives, with a primary focus on implementing and evolving a modern Rights Management System (RMS). The role combines senior product leadership, technical product management, and direct people management. It leads and develops Product Managers and other product resources while partnering with Engineering, Architecture, Data, Security, Operations, and business stakeholders. The role translates business and rights-management needs into technically sound product direction, executable roadmaps, and measurable outcomes, supported by integrated data capabilities, workflow automation, and responsible AI use. The position leads product activities across the RMS implementation and the broader Rights ecosystem, coordinating across rights, content acquisition, legal, distribution, finance, operations, engineering, data, and other impacted functions. It oversees portfolio priorities, governance, delivery dependencies, risks, readiness, adoption, and long-term platform improvement. It also develops a consistent product management and Agile delivery operating model, manages and coaches product staff, and communicates portfolio status and recommendations to stakeholders and executives. This position currently follows a hybrid schedule, requiring work from the office at least four days per week. The role is eligible for company-sponsored benefits. The salary range is $110,000–$150,000 per year and is bonus eligible.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, Business, or a related field, or equivalent practical experience.
At least 7 years of progressive experience in product management, business solutions, technology product leadership, or a related discipline.
At least 2 years of direct people-management experience, including coaching and developing product professionals.
Demonstrated experience leading complex enterprise product portfolios or large-scale technology transformations from strategy through implementation.
Strong technical fluency and experience partnering with Engineering, Architecture, Data, Security, and enterprise platform teams.
Experience with enterprise SaaS implementations, systems integration, APIs, data platforms, cloud services, workflow automation, or related technologies.
Strong working knowledge of Agile methodologies and product-delivery practices, including roadmap planning, release planning, sprint planning, backlog refinement, estimation, prioritization, sprint reviews, retrospectives, and continuous improvement.
Hands-on experience using Jira and Confluence to manage product backlogs, document requirements and decisions, track delivery, and communicate across product, engineering, and business teams.
Practical understanding of AI-enabled products, automation, analytics, data governance, and responsible AI considerations.
Strong executive communication, stakeholder management, prioritization, problem-solving, and organizational-change skills.

Nice To Haves

Scrum, Agile, or product management certification, such as CSPO, CSM, PMI-ACP, SAFe certification, or an equivalent credential.
Experience in media and entertainment, rights management, licensing, content operations, intellectual property, or a similarly complex domain.
Balances strategic thinking with hands-on delivery leadership.
Moves comfortably between business outcomes, product details, and technical discussions.
Builds clarity in ambiguous environments and creates structure across complex, interdependent work.
Leads through influence while maintaining direct accountability for team performance and delivery.
Communicates risks early, presents practical options, and drives decisions to closure.
Develops talent and creates an environment in which product professionals can operate with ownership and confidence.

Responsibilities

Define and drive the product vision, multi-year roadmap, priorities, and delivery strategy for RMS and the broader Enterprise Rights product portfolio.
Translate business objectives, operational pain points, and user needs into product capabilities, investment priorities, and sequenced delivery plans.
Oversee concurrent initiatives and workstreams, balancing strategic priorities, dependencies, risks, and capacity.
Establish product governance, decision rights, success measures, and communication practices across the portfolio.
Partner with senior stakeholders to align product investments with enterprise technology strategy and business outcomes.
Partner with Engineering, Architecture, Data, and platform teams throughout discovery, solution design, implementation, testing, deployment, and adoption.
Guide product decisions involving SaaS platforms, enterprise integrations, APIs, data models, workflow orchestration, cloud services, security, and scalability.
Translate business requirements into product requirements, capabilities, epics, acceptance criteria, and implementation priorities.
Establish and reinforce effective use of Jira and Confluence for backlog management, requirements traceability, documentation, decision tracking, and collaboration.
Identify technical and process dependencies early and support informed tradeoffs involving scope, value, timing, risk, and maintainability.
Provide product leadership for vendor evaluations, implementation partners, and third-party platforms where applicable.
Lead the product side of the RMS implementation, including business alignment, capability definition, prioritization, roadmap management, readiness, and adoption.
Coordinate product activities across rights, content acquisition, legal, distribution, finance, operations, engineering, data, and other impacted functions.
Connect RMS delivery to the broader Rights ecosystem, including source systems, downstream consumers, reporting, integrations, and the enterprise data layer.
Report progress, decisions, risks, dependencies, and required leadership actions transparently.
Promote sustainable product practices that support implementation and long-term platform ownership and continuous improvement.
Define and prioritize AI, machine learning, automation, and advanced analytics opportunities for rights workflows, decision support, data quality, and user experience.
Partner with Data, Engineering, Legal, Privacy, Security, and business teams to assess AI use cases and advance appropriate concepts into delivery.
Ensure AI-enabled capabilities are based on reliable data, clear business value, measurable outcomes, and responsible governance.
Champion reusable data and AI capabilities that complement RMS and strengthen the future-state Rights platform.
Monitor technology trends and recommend practical innovation opportunities while maintaining focus on core delivery commitments.
Directly manage, coach, and develop Product Managers and other product resources, setting expectations, priorities, and development goals.
Create a consistent product management operating model spanning discovery, planning, requirements, delivery, stakeholder engagement, and outcome measurement.
Lead Agile product delivery activities, including roadmap, release, and sprint planning; backlog refinement; prioritization; capacity management; sprint execution; reviews; retrospectives; and continuous improvement.
Assign initiative ownership and ensure Product Managers have the context, support, and accountability to lead their workstreams.
Build a collaborative, high-performing culture focused on customer value, technical credibility, transparency, and execution.
Assess team capacity and capability needs and recommend staffing, role design, and external support as needed.
Represent the Enterprise Rights portfolio in cross-functional and leadership forums and serve as a primary product leadership contact.
Facilitate alignment across business and technology teams, resolve competing priorities, and escalate decisions when necessary.
Communicate roadmap status, delivery health, risks, options, and recommendations concisely and in a decision-oriented manner.
Partner with change-management, training, and operational teams to support adoption and transition to new capabilities.