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# Competitive Intelligence Lead

- **Company:** The Meta Game, Inc.
- **Location:** Burlingame, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Data Transformation, Query Languages, Python (Programming Language), Mathematical Software, SQL Databases, Scripting, Application Enhancement Tool, Data Ingestion, Generative AI, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_9eb4c562d9360fe42632b4d485c65cb2

## About the Role

* Bachelor's degree and a minimum of 6 years of work experience (minimum 4 years with a Ph.D.) in business intelligence, product analytics or economic or strategy consulting in a technology environment.
 * Demonstrated skill to ethically source, validate and synthesize high-signal insights from stakeholder interviews, skilled conversations, field research and relationship-based information gathering while maintaining high standards for privacy, consent and integrity.
 * Proficiency in AI-powered tools: Demonstrate working knowledge of Generative AI technologies and experience designing, prompting and orchestrating AI systems to automate data analyses, synthesize insights and execute multi-step analytical tasks.
 * Practical working understanding of data-analytics tools and direct experience managing, analyzing, manipulating and interpreting 1P and external 3P datasets.
 * Experience with data querying languages (SQL), scripting languages (Python) and/or statistical/mathematical software (R).
 * Proven experience with statistical analysis including causal inference, quasi-experiment or Bayesian aggregation.
 * Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders.
 * Demonstrated experience thriving in ambiguous environments and shaping new analytics organizations or products., * Master's or Ph.D. in a quantitative field such as Quantitative Economics, Political Science, Operations Research, Data Science, Computer Science, Physics, Business or Mathematics.
 * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact.
 * Experience adhering to and implementing responsible, ethical AI practices.
 * Demonstrated ongoing AI skill development and staying current with emerging AI technologies.

## Description

* 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, across ambiguous environments with working knowledge of econometrics. As a quantitative market-strategist, blend practical and applied understanding with technical expertise, including pressure-testing data for quality, reliability, understanding data biases, and being solution-driven.
 * Analytics Leadership: Conduct advanced analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that inform market and business strategy. Specific activities include:
 + Data onboarding: Identify, onboard, and rigorously evaluate 3P datasets to determine their signal-to-noise ratio and predictive power.
 + 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.
 + 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.
 + Insight and implications: Apply guidance from such analyses to increase the accuracy of forecasts and better understand market trends.
 * 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.
 * Data Governance & Quality: Ensure data privacy, security and compliance with organizational standards. Champion data quality frameworks and documentation practices that enable credible reproducible analyses.
 * Resourceful and adaptable professional with a bias for action.