Analytics Automation & AI (AAA)

Analytics Automation & AI (AAA)

Location: Atlanta, Georgia (Remote)

Job Type: Contract (12+ Months)

Note: Sponsorship is not available for the position listed below.

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.