Data & AI Product Enablement Manager

AMC Networks•New York, NY

1d•$140,000 - $155,000•Hybrid

About The Position

AMC Global Media is seeking a Data & AI Product Enablement Manager to join their Business Intelligence team. This role involves acting as a strategic partner to business leaders to identify AI and data opportunities, shaping product concepts, and developing adoption plans for data and AI products. The manager will create enablement materials, establish feedback loops, and collaborate with various teams including product, engineering, UX, and design. Key responsibilities include maintaining documentation, communicating updates, and monitoring adoption KPIs to guide roadmap adjustments.

Requirements

5+ years in a product or program management role with a focus on product
Bachelor’s degree or equivalent experience in project management
PMP Certification
Demonstrated experience partnering with business stakeholders to shape product concepts, use cases, or technology solutions or related product management certifications (PMC, CSPO or similar)
Experience working alongside data, analytics, AI, or technology teams, with the ability to translate between business needs and technical execution
Experience supporting internal (employee-facing) products or platforms

Nice To Haves

Background in media, entertainment, technology, data-enabled products, or enterprise platforms preferred

Responsibilities

Act as a strategic partner to business leaders to identify high-value AI and data opportunities aligned to business goals.
Shape early product concepts, including process flows, low-fidelity prototypes, and experience storyboards.
Develop and execute adoption plans for data and AI products, balancing user experience, training, and business readiness.
Create enablement materials such as playbooks, demos, user guides, best practices, and internal product marketing content.
Establish feedback loops to capture user insights, measure adoption, and identify areas for improvement.
Provide visibility into adoption progress, business impact, and user sentiment to product and engineering leadership.
Support product managers, data scientists, and data engineers by providing context on business workflows and user experience needs.
Collaborate with UX and design teams to ensure product experiences are intuitive, accessible, and aligned with business expectations.
Maintain clear, consistent documentation around use cases, product capabilities, adoption metrics, and user feedback.
Communicate updates, value stories, and success metrics to internal leadership and cross-functional partners.
Monitor adoption KPIs and contribute insights to guide roadmap adjustments and capability enhancements.