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Capgroup·9 hours ago
9 hours agoBe an early applicant

Data and AI Engineering Manager

Irvine, United States of AmericaMid · 5-10 yearsEngineering Manager

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Must-have skills for this role

  • databricks
  • unity catalog
  • python
  • sql

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Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • 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 (BI, agents, executive narratives). Own the hard calls on where AI belongs in the stack and where it doesn't.
  • Team Leadership and Growth (20%) - Build the team, culture, and hiring bar from the ground up. Recruit, coach, and grow a diverse team of engineers, and set the operating model for how the team builds, ships, and maintains AI skills and agents alongside the humans.
  • Partnership and Enterprise Engagement (10%) - Represent CBI's engineering voice in Enterprise Data Office forums (architecture, platform, AI governance, catalog federation), engage with business stakeholders as data consumers, and coordinate with Data Platform and Global Data Architecture as peer teams on the shared lakehouse foundation.

What they're looking for

  • 10 + years building full-stack data products end-to-end, hands-on across a modern lakehouse stack (Databricks, Unity Catalog, dbt, Python, SQL) with recent work in a modern UI framework such as React (or equivalent); Databricks Apps experience a plus
  • Direct experience embedding LLMs, retrieval-augmented generation, and agents into data engineering workflows, for example AI-assisted data quality, anomaly detection, or lineage tracing
  • Track record as a hands-on technical leader or engineering manager for a high-performing team. You develop, mentor, and coach a talented, diverse team, and you create an inclusive, engaging environment where every engineer can thrive
  • Track record operating production data platforms end-to-end - SLAs, data quality and contract enforcement, observability, cost, incident response, and CI/CD for data products serving demanding consumers
  • Strong grasp of data modeling and data product design from source ingest to consumer-fit products, with shared metrics and dimensions that BI tools and agents can consume; familiarity with Databricks Genie, Unity Catalog metric views, or Open Data Contract Standard (ODCS) a plus
  • Experience in Financial Services (ideally Investment Management), or a demonstrated ability to ramp quickly on complex regulated domains, with comfort partnering across product, business, risk, and platform stakeholders
  • You bring high agency, curiosity, and resilience to ambiguous problems, exercise disciplined judgment on trade-offs between scope, speed, and quality, and communicate clearly across technical and business audiences
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Nice to have

  • Databricks Apps experience a plus
  • Familiarity with Databricks Genie, Unity Catalog metric views, or Open Data Contract Standard (ODCS) a plus

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

“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 (BI, agents, executive narratives). Own the hard calls on where AI belongs in the stack and where it doesn't. 
  • Team Leadership and Growth (20%) Build the team, culture, and hiring bar from the ground up. Recruit, coach, and grow a diverse team of engineers, and set the operating model for how the team builds, ships, and maintains AI skills and agents alongside the humans. 
  • Partnership and Enterprise Engagement (10%) Represent CBI's engineering voice in Enterprise Data Office forums (architecture, platform, AI governance, catalog federation), engage with business stakeholders as data consumers, and coordinate with Data Platform and Global Data Architecture as peer teams on the shared lakehouse foundation. 

Required Qualifications 

•  10+ years building full-stack data products end-to-end, hands-on across a modern lakehouse stack (Databricks, Unity Catalog, dbt, Python, SQL) with recent work in a modern UI framework such as React (or equivalent); Databricks Apps experience a plus 

• Direct experience embedding LLMs, retrieval-augmented generation, and agents into data engineering workflows, for example AI-assisted data quality, anomaly detection, or lineage tracing  

•  Track record as a hands-on technical leader or engineering manager for a high-performing team. You develop, mentor, and coach a talented, diverse team, and you create an inclusive, engaging environment where every engineer can thrive  

• Track record operating production data platforms end-to-end - SLAs, data quality and contract enforcement, observability, cost, incident response, and CI/CD for data products serving demanding consumers 

•  Strong grasp of data modeling and data product design from source ingest to consumer-fit products, with shared metrics and dimensions that BI tools and agents can consume; familiarity with Databricks Genie, Unity Catalog metric views, or Open Data Contract Standard (ODCS) a plus 

•  Experience in Financial Services (ideally Investment Management), or a demonstrated ability to ramp quickly on complex regulated domains, with comfort partnering across product, business, risk, and platform stakeholders 

•  You bring high agency, curiosity, and resilience to ambiguous problems, exercise disciplined judgment on trade-offs between scope, speed, and quality, and communicate clearly across technical and business audiences 

•  Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience 

“I can apply in less than 4 minutes.”  

  

You’ve reviewed this job posting and you’re ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn’t what you’re looking for, check out our other opportunities and join our talent community.  

  

“I can learn more about Capital Group.”  

 

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That’s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people’s lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.‎ 

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Southern California Base Salary Range: $234,276-$398,269

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In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Company

Capgroup
Irvine, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from capgroup's careers site·first seen 12 Sept 2026·last verified 12 Sept 2026·How we source jobs

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