Principal, Marketing Advanced Analytics – Acquisition Analyst

Remote Full-time
About the position

DIRECTV is evolving its position in the entertainment ecosystem through a multi-year Super-Aggregation strategy that blends live TV, premium SVODs, and flexible content packaging. As the company modernizes its acquisition engine, advanced analytics is critical to driving scalable new subscriber growth. The Principal, Marketing Advanced Analytics is a senior technical leader responsible for defining and executing the analytical strategy that powers customer acquisition performance. This role focuses on optimizing marketing-driven subscriber growth through predictive modeling, advanced measurement, experimentation, and AI-enabled targeting. This leader combines deep expertise in machine learning, data science, and experimentation with strong cross-functional influence to elevate DIRECTV’s acquisition analytics into a best-in-class growth engine.

Responsibilities
• Acquisition Inflow Analytics Strategy Lead the enterprise-wide analytics strategy supporting new subscriber acquisition across all acquisition channels. Develop and enhance predictive models for offer lift measurement, conversion propensity, and customer prioritization. Partner with channel owners and acquisition strategy teams to translate insights into targeted campaign optimizations and performance improvements. Identify scalable growth levers to accelerate subscriber acquisition.
• Advanced Measurement & Marketing Effectiveness Design rigorous experimentation frameworks and advanced marketing measurement methodologies (e.g., causal inference, incrementality testing, multi-touch attribution). Establish standards for controlled experimentation and test-and-learn governance across digital and offline channels. Improve precision in performance reporting by isolating true incremental drivers. Evaluate and operationalize emerging measurement methodologies to strengthen decision accuracy.
• AI & Machine Learning Enablement Lead AI transformation amongst acquisition analytics. Integrate machine learning into acquisition decisioning, audience targeting, media optimization, and next-best-action frameworks. Partner with Data Engineering and MarTech to enable scalable data pipelines and automated optimization capabilities. Deploy advanced modeling approaches such as uplift modeling, dynamic audience segmentation, and conversion optimization frameworks. Ensure models are robust, interpretable, and production-ready within DIRECTV’s marketing ecosystem.
• Strategic Insight & Executive Influence Translate complex analytical findings into actionable recommendations that influence campaign strategy, targeting frameworks, and media investment allocation. Provide forward-looking forecasts of acquisition inflow under various media and promotional scenarios. Surface emerging trends in audience behavior, channel performance, and competitive dynamics that impact acquisition outcomes. Deliver clear, executive-ready narratives that drive alignment on growth strategy and investment priorities; including presentation to executive leadership.
• Data & Analytical Infrastructure Guide enhancements to DIRECTV’s marketing data ecosystem to support scalable acquisition analytics. Ensure data quality, integrity, and accessibility across acquisition channels. Lead automation of dashboards and performance tracking tools to enable agile weekly decision-making. Collaborate cross-functionally to modernize acquisition reporting and modeling environments.
• Leadership & Capability Building Mentor analysts and data scientists supporting acquisition analytics. Establish best practices for modeling rigor, experimentation design, and performance measurement. Act as a senior advisor to Marketing, Growth, and Channel teams. Promote a culture of innovation, scientific discipline, and measurable impact within DIRECTV’s analytics organization.

Requirements
• 5 – 7 years required, 7+ years desired experience in marketing analytics, data science, or related quantitative disciplines.
• Demonstrated expertise in acquisition analytics, media performance measurement, and predictive modeling.
• Deep knowledge and hands-on experience of statistical modeling, machine learning, experimental design, and causal inference.
• Strong proficiency in Python, SQL, and modern marketing analytics environments.
• Experience deploying models into production and enabling automated decision systems.
• Proven ability to influence senior stakeholders through data-driven storytelling.
• Advanced degree in Statistics, Data Science, Economics, Engineering, Computer Science, or related field preferred.

Nice-to-haves
• Hands on experience LLM & GenAI solution build is a plus.
• Experience with Databricks & Snowflake is a plus.
• Industry experience or knowledge in PayTV, entertainment, or subscription-based businesses is a plus.

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