Advanced Analytics Lead

Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For list for ten consecutive years.

First American will always strive to be a great place to work, for all.

Remote Work Welcome

• Data thought leadership: You will use data to understand the product and business ecosystem, quantify new opportunities through data and AI techniques, identify upcoming challenges, and shape product development to bring value to users, business divisions, and First American. You will help develop data and AI strategy and support leadership in prioritizing what to build and setting goals for execution.

• Product Analytics: You will guide product teams using AI, data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical and/or AI approaches to test them. Additionally, you will work with corporate reporting teams to ensure business division reports are maintained and enhanced as the suite of products are rolled out.

• Communication and Influence: You will not simply present data but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity and be a trusted strategic partner.

• Drive analytics projects end-to-end in partnership with Product, Design, Product Marketing, Engineering, and cross-functional business division teams to inform, influence, support, and execute product strategy and investment decisions.

• Develop and execute data strategy, roadmap and solutions to identify opportunities for product improvements, new product features, improve and forecast growth, and improve product use and customer experience.

• Design metrics and KPI definitions with goals for different product areas, report and communicate insights around product success to partners and the senior management team.

• Oversee the design, development, and implementation of advanced analytics and AI toolsets to extract valuable insights from large and complex datasets.

• Solve a wide array of challenging problems using different analytical and statistical approaches.

• Lead data exploration, hypothesis testing, and statistical analysis to identify trends, patterns, and correlations for business optimization.

• Find opportunities and launch AI initiatives such as Generative AI, to automate processes and solve unarticulated business problems.

• Serve as a thought partner for product managers, engineering managers, and leadership in influencing the product insights roadmap and strategy by identifying opportunities through deep-dive analyses and/or modeling.

• Partner closely with internal data engineering teams to improve data assets, quality, metrics and insights and proactively identify opportunity areas for deep dive investigations and future program development. Analyze and validate data to ensure high data quality and reliable insights.

• Contribute towards advancing the Data Analytics, Data Science and AI discipline, including but not limited to driving data best practices (e.g., analysis, goaling, experimentation), improving analytical processes, scaling AI knowledge and tools, and mentoring team members.

• 10+ years of experience working with data, including data mining, statistical analysis, predictive modeling, and experience leading data-driven initiatives and teams.

• Proficiency with data analysis tools (e.g., Python, SQL, Power BI, Snowflake, Looker) and data visualization techniques.

• Strong analytical, quantitative, and problem-solving skills, with the ability to transform complex data into actionable insights.

• Experience ensuring data quality, integrity, and adherence to governance…