Data and AI Engineering Manager

Capital Group

. Lead the engineering team behind consequential data and AI work at Capital Group .

Posted 9/15/2026full-timeLos Angeles • California • United StatesSeniorLead💰 $201,683 - $322,693 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building full-stack data products and leading engineering teams, with a strong focus on data modeling, product design, and AI integration. Proven ability to establish team culture, set technical direction, and engage with diverse stakeholders in complex regulated domains.

Highest-signal resume keywords

Full-Stack Data Product DevelopmentTechnical LeadershipData ModelingAI IntegrationFinancial Services Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLDatabricksUnity CatalogDbtReactData Product DesignData Quality ManagementCI/CDIncident Response

Soft Skills

Clear CommunicationCuriosityResilienceDisciplined JudgmentHigh Agency

Tools & Technologies

Databricks AppsDatabricks GenieUnity Catalog Metric ViewsOpen Data Contract Standard (ODCS)

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering

Industry Keywords

Investment ManagementData GovernanceData Engineering WorkflowsBusiness IntelligenceRegulated Domains

Tech Stack

Tools & technologies

PythonReactSQLUnity

About the role

Key responsibilities & impact

Lead the engineering team behind consequential data and AI work at Capital Group
Build governed data products relied upon by CGMC, the Capital Operating Group, the Executive Office, and Business Councils
Set technical direction and build alongside the engineering team
Build the founding engineering team for CBI, including hiring, coaching, and setting the operating model
Extend EDO AI Catalyst with skills, agents, and automation to accelerate data product delivery
Own difficult technical decisions for engineering teams
Set solution design for CBI data products and determine how AI powers them
Develop a modern data catalog for humans and agents
Implement source-to-target lineage with impact analysis
Establish shared metrics and dimensions for BI, agents, and executive narratives
Build team culture and hiring standards from the ground up
Recruit, coach, and grow a diverse engineering team
Establish how the team builds, ships, and maintains AI skills and agents alongside people
Represent CBI engineering in Enterprise Data Office forums
Engage with business stakeholders as data consumers
Coordinate with Data Platform and Global Data Architecture on the shared lakehouse foundation

Requirements

What you’ll need

10+ years building full-stack data products end-to-end
Hands-on experience with Databricks, Unity Catalog, dbt, Python, and SQL
Recent experience with a modern UI framework such as React or equivalent
Direct experience embedding LLMs, retrieval-augmented generation, and agents into data engineering workflows
Track record as a hands-on technical leader or engineering manager for a high-performing team
Experience operating production data platforms end-to-end, including SLAs, data quality and contract enforcement, observability, cost, incident response, and CI/CD
Strong grasp of data modeling and data product design
Experience with Financial Services, ideally Investment Management, or ability to ramp quickly on complex regulated domains
Comfort partnering across product, business, risk, and platform stakeholders
High agency, curiosity, and resilience in ambiguous problems
Disciplined judgment on trade-offs between scope, speed, and quality
Clear communication across technical and business audiences
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Databricks Apps experience is a plus
Familiarity with Databricks Genie, Unity Catalog metric views, or Open Data Contract Standard (ODCS) is a plus

Benefits

Comp & perks

Competitive salary
Bonuses, including an individual annual performance bonus and Capital’s annual profitability bonus
Company-funded retirement contribution, with Capital contributing 15% of eligible earnings
Generous time-away and health benefits from day one
Flexible work options
2-for-1 matching gifts for charitable contributions
Opportunity to secure annual grants for charitable organizations
On-demand professional development resources
Temporary positions in the United States are excluded from the mentioned compensation and benefit plans