Data and AI Engineering Manager

Capital Group; Irvine (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible work options

Charitable matching gifts

Professional development resources

Job summary

Capital Group in Southern California is seeking an Engineering Manager in the Enterprise Data Office to lead the engineering team behind critical data and AI work. You will build governed data products used by CGMC, the Capital Operating Group, and the Executive Office.

This hands-on role requires setting technical direction and hiring the founding team for CBI, coordinating AI agents with data platforms, and delivering scalable data solutions across the business.

Responsibilities

• Hands-On AI-Native Data Product Delivery: lead the data and AI-enabled data products.
• Engineering Vision, Solution Design, and AI for Data: define architecture for data products and AI integration.

Job description

\"I can be myself at work.\"

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

\"I can influence my income.\"

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

\"I can lead a full life.\"

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

• Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options


• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love


• Access on-demand professional development resources that allow you to hone existing skills and learn new ones

As an Engineering Manager in the Enterprise Data Office, you'll lead the engineering team behind some of the most consequential data and AI work at Capital Group. Your team builds the governed data products that CGMC, the Capital Operating Group, the Executive Office, and Business Councils rely on to run the business.

We're looking for a hands-on leader who sets the technical direction and builds alongside the team, with the curiosity to explore what AI can do for data and the judgment to know where it shouldn't. You'll build the founding engineering team for CBI: hiring, coaching, and setting the operating model for how AI agents ship alongside them. This role is based in Southern California, with time across our Los Angeles and Irvine offices.

Key Responsibilities

• Hands-On AI-Native Data Product Delivery (40%) Your team ships the data and intelligence Capital Group runs on: everywhere it's consumed, by humans and AI. Consumer demand is outpacing anyone still writing pipelines by hand, so you'll extend EDO AI Catalyst (CG's AI sidekick for data product creators) with the skills, agents, and automation to ship at the pace the business needs. Your engineers review, steer, and own the hardest technical calls.


• Engineering Vision, Solution Design, and AI for Data (30%) Set the solution design for CBI's data products (jointly with Product Leads) and how AI powers them: a modern data catalog for humans and agents, source-to-target lineage with impact analysis, and shared metrics and dimensions for the next generation of consumption (