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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Product Management & Data Transformation - **Company:** AMC Networks - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $190,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Information Systems, Customer Data Management, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Decision Support Systems, Data Intelligence, Mixpanel, Data Streaming, Data Strategy, Data Layers, Event Driven Architecture, Information Technology, Data Analytics, Data Management - **Published:** September 25, 2026 - **Apply:** https://amcn.wd5.myworkdayjobs.com/amcnetworks/job/New-York-NY/Director--Product-Management---Data-Transformation_R-4985 ## About the Role * Bachelor's degree in Business, Data Science, Computer Science, Information Systems, Engineering, Statistics, or a related field; equivalent practical experience will also be considered. * 8+ years of experience in Product Management, Analytics, Data Product Management, or related disciplines. * 3+ years leading product, analytics, or data-focused teams. * Experience building and scaling data products, analytics platforms, measurement frameworks, or data governance programs. * Deep understanding of KPI design, product analytics, instrumentation strategies, metric governance, and experimentation frameworks. * Strong ability to translate complex technical concepts into business outcomes. * Demonstrated success leading cross-functional initiatives involving Product, Engineering, Data, and executive stakeholders. * Expertise establishing product operating rhythms, KPIs, and performance measurement systems. * Exceptional communication, stakeholder management, and organizational leadership skills. Preferred * Experience with modern analytics ecosystems including Mixpanel, Amplitude, mParticle, dbt, semantic layers, event-based analytics, and customer data platforms. * Entertainment industry experience a plus * Experience implementing data governance, instrumentation standards, or analytics transformation programs. * Familiarity with streaming, subscription, media, or digital platform businesses. * Knowledge of data quality, observability, taxonomy management, and event-driven architecture. * Experience building data literacy programs and driving organizational adoption of data-driven practices. * Understanding of AI, predictive analytics, and modern decision-support systems. * MBA, Master's degree, or advanced coursework in Data Science, Analytics, Product Management, Business, or a related discipline; equivalent practical experience will also be considered. * ## Description Data Product Strategy & Transformation * Define and execute a multi-year Data Product and Analytics strategy aligned with AMC Global Media's streaming business objectives. * Lead the transformation from fragmented reporting and instrumentation practices toward a governed, scalable, and trusted data ecosystem. * Establish product vision, roadmap, and prioritization for data products, analytics capabilities, KPI frameworks, and measurement infrastructure. * Partner with Product and Engineering leadership to embed data strategy into the broader Streaming Product roadmap. * Champion a culture of accountability, measurement, and data-driven decision making across the organization. KPI Governance & Measurement * Own the product strategy for AMC's KPI framework and measurement ecosystem. * Establish governance processes for metric definitions, ownership models, and reporting standards. * Partner with stakeholders to define North Star metrics, product KPIs, and business performance indicators across AMC+, Shudder, Acorn TV, HIDIVE, and future products. * Ensure consistent metric definitions and reporting across platforms, brands, and teams. * Drive adoption of KPI ownership throughout the Product organization, leaning into product insights. Data Governance & Quality * Partner with Data Engineering to establish a contract-first approach to instrumentation, event taxonomy, and data quality. * Lead development of governance processes supporting semantic definitions, instrumentation standards, and data stewardship. * Establish frameworks for data validation, monitoring, audit processes, and issue remediation. * Co-lead cross-functional governance forums that drive accountability for data quality and reporting consistency. * Advocate for data quality as a product feature rather than an operational afterthought. Instrumentation & Analytics Platform Strategy * Partner with Engineering teams to define instrumentation requirements, event taxonomies, and platform measurement standards. * Own the business roadmap for analytics platforms and supporting tooling. * Ensure instrumentation supports reliable measurement of customer engagement, retention, monetization, content consumption, and operational performance. * Collaborate with technical stakeholders to evaluate and prioritize investments in analytics infrastructure, semantic layers, governance tooling, and analytics platforms. Data Literacy & Organizational Enablement * Help product managers, designers, engineers, and executives effectively leverage data to inform decisions. * Build training, documentation, and operating mechanisms that increase data fluency across teams. * Establish repeatable KPI reviews, business performance discussions, and product health assessments. * Promote self-service analytics and democratized access to trusted business metrics. * Serve as an internal thought leader on measurement strategy and product analytics best practices. Stakeholder Leadership * Act as the primary business owner for Data Product initiatives across Streaming Product. * Present roadmap progress, data maturity goals, KPI health, and transformation outcomes to executive leadership. * Build alignment across Product, Data Engineering, Engineering, Marketing, CRM, and external partners. * Manage and mentor product managers and analysts supporting data initiatives. * Foster a culture of collaboration, transparency, and continuous improvement. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Marketing x Product: How We Stopped Gaslighting Each Other and Built AI Products That Actually Work](https://www.wearedevelopers.com/videos/100244-marketing-x-product-how-we-stopped-gaslighting-each-other-and-built-ai-products-that-actually-work) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)