Competitive Intelligence Lead

Meta; Burlingame (CA); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Competitive Intelligence Lead in California to drive data‑driven market strategy and analytics at scale. You will oversee 3P data onboarding, triangulation, and advanced modeling to inform product direction and business decisions.

You will apply Bayesian methods and quasi‑experimental designs, while ensuring data governance and privacy. This role combines hands‑on analytics with cross‑functional leadership and strategic impact.

Qualifications

• Bachelor's degree and 6+ years of work experience (4+ years with a Ph.D.) in business intelligence, product analytics, or economic/strategy consulting in a tech environment.
• Ability to ethically source, validate, and synthesize high-signal insights with strong privacy and integrity
• Experience with Generative AI tools and AI system design (prompt engineering)
• Experience with data querying languages, scripting languages, and statistical software
• Proven experience with statistical analysis including causal inference and Bayesian methods
• Strong communication skills for presenting complex findings to diverse stakeholders
• Ability to thrive in ambiguous environments and shape analytics organizations or products

Responsibilities

• Influence product direction through data-driven narratives and market understanding.
• Onboard, evaluate, and synthesize 3P datasets to assess signal quality and predictive power.
• Triangulate data from multiple sources to produce high-fidelity trend reports.
• Apply quasi-experimental designs to isolate impacts of market shocks and competitor actions.
• Translate analyses into forecasts and strategic insights for business decisions.
• Lead adoption of advanced methods and best practices across the team.
• Ensure data privacy, security, and governance in analyses.

Skills

Market strategy

Analytics leadership

Data onboarding

Data triangulation

Data transformation

Insight & implications

Causal inference

Data governance

Communication

Ambiguity navigation

Education

Bachelor's degree (PhD preferred)

Tools

SQL

Python

R

Job description

Summary:

As a Competitive Intelligence Lead in Meta’s Competitive Intelligence organization, you will operate at the intersection of advanced analytics, data science, and market strategy. You will lead major projects and product areas—often in environments of significant ambiguity or technical complexity—driving both technical and business outcomes. This is a hands‑on, high-impact role for builders who thrive on solving real problems. This role demands a unique blend of analytical and statistical expertise, strategic thinking , and the ability to translate complex insights into impactful product and business decisions. You will be recognized as a thought partner by cross‑functional leads and will help shape the analytical foundations that inform how we build and grow our products.

Required Skills:

Competitive Intelligence Lead Responsibilities:

1. Market Strategy: Influence organization‑level product direction through data‑driven narratives and an in depth understanding of the market landscape. Demonstrated experience operating at scale, and across ambiguous, environments with working knowledge of econometrics. As a quantitative market‑strategist, you will blend practical and applied understanding with technical expertise, including pressure‑testing data for quality, reliability, understanding data‑biases and being solution driven

2. Analytics Leadership: Conduct advanced analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that informs market and business strategy. These include, but are not limited to:

3. Data onboarding: Identify, onboard, and rigorously evaluate 3P datasets to determine their signal‑to‑noise ratio and predictive power

4. Data triangulation: Triangulate data from many sources of imperfect information. Synthesize multiple, low‑fidelity 3rd‑party signals into a single high‑fidelity trend report using Bayesian aggregation or other methods

5. Data transformation: Apply quasi‑experimental designs (e.g., synthetic control, diff‑in‑diff) to isolate the impact of exogenous market shocks and competitor actions on internal performance metrics, using 3rd‑party behavioral and economic datasets

6. Insight and implications: Apply guidance from such analyses to increase the accuracy of forecasts and better understand market trends

7. Technical & Methodological Expertise: Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization‑wide best practices that raise the bar for the entire team

8. Data Governance & Quality: Ensure data privacy, security, and compliance with organizational standards. Champion data quality frameworks and documentation practices that enable credible reproducible analyses

9. Resourceful, adaptable professional with a bias for action

Minimum Qualifications:

Minimum Qualifications:

1. Bachelors degree and a minimum of 6 years of work experience (minimum of 4 years with a Ph.D.) in business intelligence, product analytics, or economic or strategy consulting in a technology environment with increasing scope and impact

2. Demonstrated skill to ethically source, validate, and synthesize high‑signal insights from people (e.g., stakeholder interviews, skilled conversations, field research, and relationship‑based information gathering) while maintaining high standards for privacy, consent, and integrity

3. Proficiency in AI‑powered tools: Demonstrate working knowledge of Generative AI technologies (e.g., LLM and AI agents) and experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analyses, synthesize insights, and execute multi‑step analytical tasks (e.g., prompting agent to clean datasets, build visualizations)

4. Practical working understanding of data‑analytics tools, and direct experience managing, analyzing, manipulating and interpreting 1P and external 3P datasets

5. Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)

6. Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi‑experimentation such as synthetic control, diff‑in‑diff, meta‑analyses), and/or bayesian aggregation (e.g., bayesian pooling, hierarchical modeling)

7. Demonstrated communication skills and experience presenting complex findings to both technical and non‑technical stakeholders

8. Demonstrated experience thriving in ambiguous environments and shape new analytics organizations or products

Preferred Qualifications:

Preferred Qualifications:

1. Master's or Ph.D. Degree in a quantitative field such as Quantitative Economics or Political Science, Operations Research, Data Science, Computer Science, Physics, Business, or Mathematics

2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

3. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

4. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation:

$177,000/year to $247,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affinitive Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].