Associate Director Engineering AI Data Platform
About The Position
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!
Requirements
- B.S. CS, Mathematical, EE, Data Science or related
- 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
Nice To Haves
- B.S./M.S./PHD CS, Mathematical, EE, Data Science or related
- 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
Responsibilities
- 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
Benefits
- 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 programs (potential for holiday bonus, referral bonus, and performance-based bonus)
- Medical, dental, vision, life, and pet insurance
- 401 (k) retirement savings plan with company match
- Engaging work environment
- Promotional opportunities
- Education assistance
- Professional and personal development opportunities
- Company recognition program
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
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What This Job Offers
Job Type
Full-time
Career Level
Director
Number of Employees
1,001-5,000 employees
