Data and Analytics Specialist

Capital Group

Data Product Specialist defining data products, analytics, and reporting at Capital Group, a global investment company. Improving decision-making, data maturity, and business outcomes through AI-ready data strategy.

Posted 8/19/2026full-timeLos Angeles • California, North Carolina • 🇺🇸 United StatesMid-LevelSenior💰 $153,842 - $286,837 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the end-to-end data product lifecycle, from vision and strategy to execution and retirement, while fostering data literacy and driving measurable business outcomes. Proficient in guiding teams to analyze and interpret data, communicate insights effectively, and leverage emerging technologies for enhanced decision-making.

Highest-signal resume keywords

Data Product Vision DevelopmentEnd-to-End Data Product Lifecycle ManagementData Domain Maturity AssessmentData Strategy and Literacy Roadmap CreationAI and Automation Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData VisualizationAnalytics Solution DesignBusiness Process AnalysisData Product StrategyGap-Closing Plan ExecutionEmerging Technologies KnowledgePerformance ManagementMentoring and CoachingReporting Solutions Maintenance

Soft Skills

CommunicationLeadershipCoachingCollaborationDecision-Making

Industry Keywords

Data ProductsBusiness Decision-MakingData Domain OwnersData StewardshipAnalyticsReportingData StrategyAI IntegrationAutomationData Literacy

About the role

Key responsibilities & impact

Partner with business, data domain owners/stewards, and technology teams to define and deliver data products, analytics, and reporting
Improve business decision-making, data domain maturity, and measurable business outcomes
Drive data product vision, strategy, and roadmap aligned to business priorities and delivery feasibility
Lead the end-to-end data product lifecycle from intake through retirement
Assess current-state data domain maturity, define target maturity, and execute improvement plans
Translate business decision needs into clear data and insight requirements
Guide teams in collecting, analyzing, and interpreting data to produce evidence-based recommendations and actionable insights
Coach others in communicating complex findings through narratives and data visualizations
Lead data and business process analysis across multiple stakeholders and capabilities
Oversee design, build, and maintenance of scalable analytics and reporting solutions
Apply emerging technologies, industry trends, and best practices to improve standards and delivery
Champion data strategy and literacy through roadmaps, adoption, training, and success metrics
Lead and develop talent through goal-setting, mentoring, coaching, performance management, and hiring support
Identify opportunities to embed AI and automation into data products, workflows, and decision-making

Requirements

What you’ll need

Ability to define and drive a data product vision, strategy, and roadmap aligned to business priorities, value, and delivery feasibility
Ability to lead end-to-end data product lifecycle practices, including intake, discovery, prioritization, delivery, adoption, measurement, and retirement
Ability to assess data domain maturity, define target maturity, and execute gap-closing plans
Ability to understand business decision needs and translate them into data and insight requirements
Ability to guide collection, analysis, and interpretation of data
Ability to communicate complex findings through clear narratives and effective data visualizations
Ability to lead comprehensive data and business process analysis
Ability to oversee analytics and reporting solution design, build, and maintenance
Knowledge of emerging technologies, industry trends, and best practices
Ability to create data strategy and literacy roadmaps, adoption and training plans, and success metrics
Ability to lead and develop talent, including mentoring, coaching, performance management, and supporting hiring
AI-ready mindset with ability to identify opportunities for AI and automation in data products, workflows, and decision-making

Benefits

Comp & perks

Competitive salary
Individual annual performance bonus
Capital’s annual profitability bonus
Retirement plan where Capital contributes 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
Hybrid schedule balancing home and office