Analytics Automation & AI (AAA) Manager

Analytics Automation & AI (AAA)

Capital One is seeking a highly specialized, technically grounded, and business-focused Manager of Analytics Automation & AI (AAA) to spearhead our next-generation operational intelligence and systemic evolution initiatives. This role requires a distinct, hybrid professional paradigmblending deep, enterprise-grade Robotic Process Automation (RPA) design patterns with modern Cloud AI ecosystems, Salesforce omni-channel structures, and formal financial service architecture. You will not simply document parameters; you will serve as the chief architecture liaison and strategist who scales intelligent agent boundaries across core banking grids, CRM engines, and multi-tenant cloud platforms. If you hold deep expertise across PSM frameworks, legacy modernization, and high-velocity analytics engineering, this position offers an impactful playground to transform complex operational frameworks.

Qualifications & Requirements

Basic Qualifications:

• Experience: Minimum of 10 years of direct experience executing Business Analysis, System Integration, and Product Customization for enterprise IT architectures.
• Domain Expertise: 5+ years of deep domain experience designing and maintaining end-to-end RPA platform solutions and multi-cloud CRM (Salesforce) integrations.
• Methodology & Alignment: Proven mastery across diverse SDLC paradigms (Agile, Scrum, and Waterfall frameworks) utilizing Jira to maintain complete pipeline transparency.

Technical Competencies & Niche Combinations:

• Platform Mastery: Advanced configuration design in enterprise RPA platforms (UiPath and Blue Prism) combined with modern API-driven application landscapes.
• AI & Advanced Cloud Analytics: Hands-on structural exposure to Google Cloud AI Agents, Tableau visualization architectures, and extensive data layer manipulation.
• Engineering Rigor: Advanced query optimization engineering (SQL query tuning, index balancing) to drive significant performance upgrades across relational backends.
• Testing & Integrity: Firm understanding of structural defect management workflows, automated testing frameworks, and formal validation testing protocols (ISTQB criteria).

Key Responsibilities

Intelligent AI Automation Strategy: Architect, execute, and scale an enterprise end-to-end RPA roadmap. Mature targeted automation concepts into fully scaled agentic workflows by leveraging Google Cloud AI Agents integrated with core delivery models.

Salesforce & Omni-Channel Orchestration: Lead complex integration ecosystems combining Salesforce Service Cloud, Marketing Cloud, and Social Listening platforms to achieve unified consumer operational flows.

Advanced Requirements Management & Design: Author robust, bulletproof Business, Technical, and Product Requirement Documents (BRD, FRD, PDD, SDD). Bridge gaps between senior executive management, core architects, and quality engineering teams by translating large-scale strategic epics into micro-executable Agile user stories.

Architectural Risk Mitigation: Perform deep data lineage analysis, structural validation, and risk mitigation across complex system interfaces to prevent downstream defect propagation during high-velocity deployments.

Agile & Scrum Governance: Facilitate daily Scrums, user story grooming, and sprint reviews. Standardize tracking frameworks using Jira Agile dashboards, burn-up/burn-down metrics, and centralized SharePoint configurations.

Mentorship & Continuous Engineering: Mentor upcoming technology and analytics professionals. Conduct systematic knowledge-sharing sessions while running infrastructure cost-benefit and performance evaluations to identify ongoing efficiency opportunities.

Note

Preferred Qualifications & Certifications: Certifications: Professional Scrum Master I (PSM I), ISTQB Foundation Level, and specialized accreditations in Tableau Data Visualization / Cloud AI engineering.