Associate Director Engineering AI Data Platform

Overview

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2025!

 

Position Summary:

We are looking for an exceptional data and AI platform leader to scale the impact from data and AI at Mercury. The leader will lead Mercury’s data platform, AI Platform and Master Data Management.  The data platform serves as the foundation for data ingestion, data pipeline, and event tables. The AI platform manage the complete machine learning lifecycle, from feature engineering, model training, deployment, monitoring, and service generation. The master data management platform serves the central place for customer data and service. 

The ideal candidate should have experience of building large scale data platform handling both real-time/batch, structured/unstructured data. The candidate should also have experience building AI platform to enable data scientist focusing on model building without worrying about engineering challenges and scale their impacts across the enterprise. We are also looking for a leader who has experience building high performing teams!

 

 

Geo-Salary Information

An in-person interview may be required during the hiring process

 

State specific pay scales for this role are as follows:

$123,808 to $322,596 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$123,808 to $322,596 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$123,808 to $322,596  (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

Responsibilities

Essential Job Functions:

• Building and leading a high performance team with data engineers, ML engineers and data architect's, fostering a culture of innovation, collaboration, and continuous improvement
• Manages large-scale, real-time/batch data ingestion and stream processing pipelines.
• Building a self-service Machine Learning platform for building, training and seamlessly deploying features and models into production with good monitoring in a few clicks with high throughput and low latency 
• Leading the continuous revolution of master data management
• Partner with data science teams, analyst teams, product and engineering teams to scale the impact from data and AI
• Own the team’s outcome, Obsess over talents, lead with clarity and context, and know your craft

 

 

Qualifications

Education:

• Minimum:
  • B.S. CS, Mathematical, EE, Data Science or related
• Preferred:
  • B.S./M.S./PHD CS, Mathematical, EE, Data Science or related

Experience

• Minimum:
  • 3+ years of experience in building ML Platform
  • 5+ years of experience in building large-scale distributed software systems     
  • 3+ years of experience in building Data Platform
  • 2+ years management experience
• Preferred:
  • 5+ years’ experience in building ML Platform
  • 8 years of experience in building large-scale distributed software systems
  • 5+ years of experience in building Data Platform
  • 5+ years management experience

 

About the Company

Why choose a career at Mercury?

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.

 

Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

 

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

 

Learn more about us here: https://www.mercuryinsurance.com/about/careers

 

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Perks and Benefits

We offer many great benefits, including:

• Competitive compensation
• Flexibility to work from anywhere in the United States for most positions
• Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
• Incentive bonus