Competitive Intelligence Lead — Data Strategy & AI Insights

Meta; Cheyenne (WY); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta seeks a Competitive Intelligence Lead to steer market strategy through data-driven narratives, leveraging advanced analytics and AI-enabled tools. You will lead high-impact projects, synthesize 3P datasets with Bayesian methods, and translate insights into strategic product decisions in a fast-growing tech environment.

Strong emphasis on data quality and cross-functional collaboration is required. The role demands experience with causal inference, AI tooling, and communicating complex

Qualifications

• Bachelors degree and a minimum of 6 years of work experience in BI, product analytics, or economics/strategy consulting in tech.
• t
• Demonstrated skill to ethically source, validate, and synthesize high-signal insights while maintaining privacy and integrity.

Responsibilities

• Influence product direction through data-driven narratives and market understanding.
• Conduct advanced analyses to deliver actionable market insights and forecasts.
• Onboard and evaluate 3P datasets for signal-to-noise and predictive power.
• Triangulate data from multiple sources to craft high-fidelity trend reports.
• Apply quasi-experimental designs to isolate effects of market shocks.
• Drive adoption of advanced methods and data governance across the team.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Market strategy

Analytics leadership

Data governance & quality

Communication skills

Ambiguity handling

Causal inference

AI/tooling mindset

Education

Bachelor's degree

PhD preferred

Master's or PhD in quantitative field

Tools

SQL

Python

R

Generative AI tools

Job description

Meta seeks a Competitive Intelligence Lead to steer market strategy through data-driven narratives, leveraging advanced analytics and AI-enabled tools. You will lead high-impact projects, synthesize 3P datasets with Bayesian methods, and translate insights into strategic product decisions in a fast-growing tech environment.

Strong emphasis on data quality and cross-functional collaboration is required. The role demands experience with causal inference, AI tooling, and communicating complex