Strategic Intelligence Lead: AI-Driven Market Insights

Meta; Pierre (SD); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Competitive Intelligence Lead to drive analytics and market strategy at scale, blending econometrics with advanced data science. This hands-on role requires translating complex insights into strategic product and business decisions across ambiguous environments.

You will lead major projects, partner with cross-functional teams, and shape analytical foundations that inform how Meta builds and grows its products, with a strong focus on data quality and governance.

Qualifications

• Requires at least a bachelor's degree and 6+ years in BI, analytics, or strategy consulting in tech.
• Ability to source, validate, and synthesize high-signal insights with strong privacy standards.
• Experience with Generative AI and prompt engineering to automate analyses.
• Proficient in SQL, Python, and statistical software; able to work with 1P and 3P datasets.
• Strong communication and ability to present complex findings to diverse stakeholders.

Responsibilities

• Lead analyses of 3P datasets and develop forecasts.
• Onboard and evaluate external datasets for signal strength.
• Triangulate data from multiple sources to produce high-fidelity trend reports.
• Apply quasi-experimental designs to measure impact of market events.
• Champion data quality, privacy, and governance practices.
• Translate insights into product and business decisions.

Skills

Market strategy

Analytics leadership

Data governance

Communication

Ambiguity tolerance

Education

Bachelor's degree

PhD (preferred)

Tools

SQL

Python

R

AI tool prompts

Job description

Meta is seeking a Competitive Intelligence Lead to drive analytics and market strategy at scale, blending econometrics with advanced data science. This hands-on role requires translating complex insights into strategic product and business decisions across ambiguous environments.

You will lead major projects, partner with cross-functional teams, and shape analytical foundations that inform how Meta builds and grows its products, with a strong focus on data quality and governance.