Data Product Specialist - AI-Driven Analytics (Hybrid)

Capital Group; Los Angeles, Northern (CA, KY); Hybrid; USD 154,000 - 287,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Retirement contribution (15%)

Flexible work options

Gift matching program

Annual profit sharing bonus

Professional development resources

Job summary

Capital Group is seeking a Data Product Specialist in Los Angeles to define and drive a data product vision aligned to business priorities. You will lead end-to-end data product lifecycle from intake to retirement and partner with data domain owners to close maturity gaps.

You will build trusted analytics, translate insights into actionable decisions, mentor teams, and champion AI-ready practices as you shape data strategy and foster a culture of learning.

Qualifications

• Define and drive a data product vision aligned to business priorities and delivery feasibility.
• Lead end-to-end data product lifecycle practices: intake, discovery, prioritization, delivery, adoption, measurement, retirement.
• Partner with data domain owners to assess current-state maturity and define target maturity.

Responsibilities

• Build partnerships with business units to translate decision needs into data requirements.
• Guide teams to collect, analyze, and interpret data for evidence-based recommendations.
• Coach others in communicating findings with clear narratives and visuals for stakeholders.
• Oversee design, build, and maintenance of analytics and reporting solutions for scalable insights.
• Stay current on AI and data industry trends to improve standards and delivery.
• Lead and develop talent, set goals, and support hiring efforts.

Skills

Data product vision

Lifecycle management

Stakeholder collaboration

Data analysis

Narrative storytelling

Data visualization

Mentoring & coaching

AI-ready mindset

Tools

Analytics tools

Job description

Capital Group is seeking a Data Product Specialist in Los Angeles to define and drive a data product vision aligned to business priorities. You will lead end-to-end data product lifecycle from intake to retirement and partner with data domain owners to close maturity gaps.

You will build trusted analytics, translate insights into actionable decisions, mentor teams, and champion AI-ready practices as you shape data strategy and foster a culture of learning.