Job DescriptionWe are currently seeking a
Director, Product Data Architecture to join our
Streaming Product & Operations team in our
New York, NY location.JOB RESPONSIBILITIES:- Product data architecture. The end-to-end design for how streaming product data is produced, modeled, stored, and served, including assessment of the current lakehouse implementation and a point of view on the path forward from where we are today, whether that is evolution or replacement.
- Contracts and definitions. A canonical metric and semantic layer for product data, with producer-side enforcement and a governance model with named owners for every definition.
- Instrumentation and collection. Event taxonomy and schema design across web, mobile, and connected TV clients, and the standards product engineering and partner teams build against.
- Tooling and vendor recommendations. Owns the technical evaluation and recommendation on the product data and analytics stack, including our CDP and analytics footprint (mParticle, Mixpanel, and adjacent tooling), and carries those recommendations to the leadership and procurement approvals that larger commitments require.
- Product data domains. Subscription and identity, content and catalog, viewership and engagement, advertising and monetization, and promotional and lifecycle data. Subscription is the hardest of these: purchase, entitlement, and lifecycle data arrives from direct billing (Stripe), in-app purchase (Apple, Google Play, Amazon, Roku), and partner-billed channels, each with its own event semantics, identifiers, and treatment of trials, proration, refunds, and cancellations. Designing the aggregation and reconciliation model that makes subscriber state trustworthy across all of them is core to the role.
- Partner and third-party data. Integration architecture for distribution and platform partners, ad and billing systems, and outbound feeds to downstream consumers, including reconciliation of platform-reported data against our own.
- Analytics and activation enablement. Models and interfaces that let product, marketing, analytics, and data science teams serve BI, experimentation, personalization, and machine learning use cases without each consumer rebuilding logic.
- Reliability and observability. Data quality monitoring, lineage, SLAs on critical product datasets, and the incident model when they are missed.
- Privacy and compliance. Consent propagation, data retention, PII handling, and regional requirements designed into the architecture rather than bolted on.
- Cost and efficiency. Compute and storage economics of the product data platform, and the tradeoffs behind them.
- Engineering standards. Modeling conventions, review patterns, and the technical bar for product data work, including mentorship of engineers on technical craft.
QUALIFICATIONS (Required & Preferred)- 8+ years of experience in designing and operating modern data platforms at scale.
- Has designed and operated modern data platforms at scale, including lakehouse or equivalent architectures (Databricks, Snowflake, Iceberg, Delta, or similar), through at least one full lifecycle from design to production to iteration
- Depth in dimensional and semantic modeling of product and behavioral data, with a clear point of view on metric layers and data contracts
- Fluency with event-driven and behavioral data: instrumentation design, schema governance, and the failure modes of client-side event collection
- Track record as the technical owner of platform and vendor recommendations, including building the case and defending it to executive stakeholders
- Has worked as an embedded partner to product management and product engineering, shaping instrumentation and definitions as part of the product development process rather than after it
- Hands-on. Still writes and reviews code and designs
- Excellent communication skills and executive presence, with the ability to translate architectural tradeoffs into business terms for senior leadership
- Leads through influence across engineering, product, analytics, and vendor partners
- Has modeled subscription and billing data across multiple purchase channels, including direct billing and app store in-app purchase, and can speak to how they reconciled entitlement and revenue data across them
- Streaming media, subscription, or ad-supported consumer product experience preferred
- Experience working with distributed delivery partners and system integrators preferred
- Bachelor's Degree in Computer Science, Software Engineering, Data Engineering preferred or related technical field OR equivalent work experience
The base compensation for this position is
$190,000 - $215,000 commensurate with experience. AMC Global Media additionally offers a comprehensive benefits package including Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Tuition Reimbursement, Paid Time Off, Paid Parental Leave and Adoption Services, among other benefit plan options, subject to eligibility requirements. AMC Global Media values the benefits achieved through in-office collaboration, but we provide our employees with the flexibility to work from home one day per week.
