VP, Content Science – Analytics

Jobtailor

Glendale (CA)

On-site

USD 180,000 - 320,000

Full time

3 days ago

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Job summary

Jobtailor is seeking a senior leader to define and lead the data science and analytics vision for Content Analytics, building and guiding high-performing teams across Engagement Analytics, Content Analytics, and Strategic Forecasting & Decision Science.

You will partner with engineering to operationalize models, architect multi-year roadmaps, and drive methodological innovation for data science, AI, and analytics in a content-driven business.

Qualifications

Deep experience in media and entertainment content strategy, including content valuation, licensing, and global content investment decisions.

Responsibilities

Define and lead the data science and analytics vision and multi-year roadmap for Content Analytics.

Skills

Data leadership

Predictive modeling

Time series

Causal inference

Segmentation

NLP

SQL

Python/R

Tableau

Looker

Databricks

Snowflake

AWS

Education

Graduate degree in Data Science

Graduate degree in Statistics

Graduate degree in Computer Science

Graduate degree in Mathematics

Tools

Looker

Tableau

Databricks

Snowflake

AWS

Job description

Define and lead the data science and analytics vision and multi-year roadmap for Content Analytics
Build and lead high-performing teams of data scientists and analysts across Engagement Analytics, Content Analytics, and Strategic Forecasting & Decision Science
Lead development and implementation of predictive machine learning, time series forecasting, survival, segmentation, and causal inference models
Partner with engineering to operationalize models into production
Architect and execute the multi-year data science and analytics roadmap for content, including operating models, methodologies, tools, technology, and data products
Lead methodological innovation and serve as a future-focused voice on data science, AI, and analytics
Lead needs assessment, requirements gathering, prototyping, validation, and partner engagement for model and product development
Advise senior leadership in DTC Content Planning & Partnerships, Subscriber Planning, and Finance through forecasting and scenario-planning models
Build frameworks, methodologies, models, and tools for title-level decisions, content valuation, portfolio composition, global optimization, audience behavior, and originals-versus-licensing-versus-partnership trade-offs
Identify and implement data science modeling and AI opportunities for content strategy and planning
Embed data science and analytics leadership in Engagement, Retention, and AI squads
Partner with data engineering on infrastructure, feature stores, and data products
Translate complex models and analyses into actionable executive recommendations
Foster a collaborative, high-trust culture and align creative, finance, business, technology, and marketing stakeholders
Develop talent through coaching, mentoring, and leadership growth

Requirements

12+ years of experience in data science, analytics, or decision science roles
8+ years in leadership or management
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Analytics, Engineering, or a related quantitative discipline
Deep experience in media and entertainment video content strategy, including content valuation, licensing, and global content investment decisions
Proven track record building and scaling data science and analytics capabilities and teams of data scientists supporting content, programming, or portfolio decisions
Experience leading statistical and machine learning models at scale, including time series forecasting, survival analysis, segmentation and clustering, propensity models, and causal inference, and operationalizing them into production
Deep knowledge of machine learning algorithms and advanced statistics
Ability to architect and deliver multi-year data science and analytics roadmaps
Experience translating complex data, models, and analytics into clear, actionable storylines for non-technical audiences
Experience leading cross-functional initiatives and gaining stakeholder alignment
Ability to identify patterns across complex, disparate data sets and translate them into insights, models, methodologies, and frameworks
Strong fluency with SQL, Python/R, statistical and ML platforms, Looker, and Tableau
Experience with modern data platforms such as Databricks, Snowflake, and AWS or equivalent
Track record of executive communication and influence across technical and non-technical audiences
Graduate degree (M.S. or Ph.D.) in a related quantitative discipline is preferred
Prior leadership experience in streaming media and/or a direct-to-consumer subscription business is preferred
Knowledge of subscription models, engagement and retention dynamics, and content's role in the subscriber lifecycle is preferred
Demonstrated financial impact through data science applications and models in production is preferred
Experience implementing Generative AI applications for data science and analytics is preferred
Experience with NLP methods applied to audience, content, or survey data is preferred
Experience supporting content studios and content partnership functions is preferred
Familiarity with international content strategy and global-market data science and analytics is preferred

Core Competencies

Demonstrates expertise in leading data science and analytics initiatives, including predictive modeling, machine learning, and statistical analysis, while effectively communicating insights to diverse stakeholders. Proven ability to build and mentor high-performing teams and drive strategic content decisions in the media and entertainment industry.

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