Strategic AI-Driven Market Intelligence Lead

Meta

Jefferson City (MO)

On-site

USD 177,000 - 247,000

Full time

34 hours ago
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Job summary

Meta is seeking a Competitive Intelligence Lead to drive data‑driven market strategy across product areas. You will lead analytics initiatives, synthesize third‑party data with Bayesian methods, and translate insights into actions that inform product direction and business decisions.

This hands‑on, high‑impact role blends advanced analytics, econometrics, and cross‑functional collaboration, with a focus on data governance, quality, privacy, and scalable solutions that help the company stay ahead

Qualifications

  • Bachelor's degree and a minimum of 6 years of work experience in BI, product analytics, or strategy consulting in a tech environment.
  • Ethically source, validate, and synthesize high-signal insights while upholding privacy, consent, and integrity.
  • Working knowledge of Generative AI technologies and experience designing, prompting, and orchestrating AI systems.
  • Practical understanding of data-analytics tools and analyzing 1P and 3P datasets.
  • Experience with SQL, Python, and/or R for data analysis.
  • Experience with causal inference and Bayesian aggregation methods.
  • Strong communication skills for presenting complex findings to diverse stakeholders.
  • Thrives in ambiguity and helps shape new analytics orgs or products.

Skills

Market Strategy
Analytics Leadership
Data onboarding
Data triangulation
Data transformation
Insight and implications
Technical & Methodological Expertise
Data Governance & Quality
Bias for action

Education

Bachelor's degree
Ph.D. preferred

Tools

SQL
Python
R
Generative AI tools

Job description

Meta is seeking a Competitive Intelligence Lead to drive data‑driven market strategy across product areas. You will lead analytics initiatives, synthesize third‑party data with Bayesian methods, and translate insights into actions that inform product direction and business decisions.

This hands‑on, high‑impact role blends advanced analytics, econometrics, and cross‑functional collaboration, with a focus on data governance, quality, privacy, and scalable solutions that help the company stay ahead

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