Applied AI And Analytics Manager - PH

About the Role

The Applied AI & Analytics Manager is a critical technical and operational leadership role within a premier US-based e-commerce management and retail media agency that operates marketplace storefronts and advertising across Amazon, Walmart, and Target for leading consumer brands. Working as a dedicated partner to internal business teams, this role bridges business intelligence, platform automation, and generative AI enablement. The position operates remotely on a permanent schedule covering US business hours (supporting US Eastern to Pacific time zones) from a dedicated home office in the Philippines.

The firm is executing two foundational operational transformations: migrating all client retail execution and reporting onto Trellis Qore, and deploying enterprise-grade Claude to every employee across the agency. This role exists to turn those technology investments into dependable everyday workflows. You will author the operational standard operating procedures (SOPs), build and govern custom AI skills and Claude Projects, optimize token consumption, design high-impact client reporting in Qore, and validate the underlying Google Cloud BigQuery data pipelines.

The ideal candidate is an agile, practical cloud power user with fluent SQL capabilities and applied Python scripting skills, rather than a theoretical data scientist or pure software developer. You are someone who thrives on building systems that colleagues actively rely on, possessing the teaching disposition to train non-technical teams and the technical discipline to vet third-party tools, verify every metric against source data, and enforce strict client data confidentiality.

Key Responsibilities Trellis Qore Deployment & Platform Execution

• Lead the client-by-client operational rollout onto Trellis Qore across Amazon and Walmart accounts, establishing role-based usage standards and workflows for daily team execution.
  

• Author clear SOPs defining functional boundaries across internal tooling, ensuring retail operations and reporting run within Qore while advertising execution remains centered in dedicated ad platforms.
  

• Build, monitor, and document custom skills and automations inside Trellis Qore, ensuring all account-altering actions are strictly logged, reversible, and approved by leadership.
  

• Maintain existing client reporting in legacy business intelligence dashboards for secondary channels (such as Target Plus) until native ingestion is fully supported.
  

Enterprise AI Enablement & Operating Model

• Architect and execute the company-wide rollout of Claude across all internal roles, managing wave-based team onboarding, practical technical training, and ongoing office hours.
  

• Establish the firms overarching AI operating model, defining task-specific routing standards across primary work tools, enterprise language models, and creative generation engines.
  

• Author, test, and distribute custom, reusable Claude Skills, prompt libraries, and structured per-client Claude Projects with optimized trigger descriptions and scoped parameters.
  

• Monitor token economics and model-tier efficiency across all internal teams, publishing clear guidance on context-window management and reviewing monthly consumption and expenditure.
  

Tool Selection, Security Vetting & Architecture Governance

• Identify, evaluate, and stress-test third-party skills, open-source repositories (e.g., GitHub), plugins, and Model Context Protocol (MCP) connectors prior to internal deployment.
  

• Run all external scripts and tools in isolated test environments without client data, screening thoroughly for prompt-injection vulnerabilities, data exfiltration risks, and output accuracy.
  

• Partner closely with the IT Operations Manager to establish permissions and controls for MCP connectors accessing internal systems (including BigQuery, project management tools, and creative platforms).
  

• Maintain an audited register of all approved tools and skills, respecting organizational boundaries where the AI function determines operational use cases and IT retains final authority over security.
  

Client Reporting, Business Intelligence & Data Reconciliation

• Build, standardize, and maintain client dashboards within Trellis Qore, delivering recurring weekly sales performance, monthly advertising pacing, and tent-pole retail event reporting (Prime Day, Black Friday, Cyber Monday).
  

• Validate and reconcile connector datafeeds into Google Cloud BigQuery, auditing tables against native marketplace consoles to guarantee total metric accuracy.
  

• Model clean transformation datasets in BigQuery, defining metrics centrally to prevent conflicting definitions and establishing monitors to catch pipeline anomalies proactively.
  

• Retire legacy Looker Studio reporting for Amazon and Walmart accounts once parallel runs are fully reconciled against source consoles.
  

Cross-Functional Solutions & Client Intelligence Architecture

• Partner directly with Marketplace Account Managers, Advertising Managers, and Creative Teams to intake operational bottlenecks and convert recurring requests into automated workflows or standing reports.
  

• Support the Creative Team in establishing generative AI workflows across tools like Gemini, Adobe, and Canva AI, establishing clear guardrails around marketplace compliance and commercial usage rights.
  

• Refine internal forecasting and scenario-planning models for sales velocity, advertising budgets, inventory planning, and traffic conversion, rigorously backtesting assumptions.
  

• Architect and launch a governed client intelligence layer, providing team members with rapid, cited summaries of historical decisions and account developments while keeping client contexts strictly isolated.
  

• Maintain cross-training with IT Operations on emergency access workflows to ensure seamless operational continuity during planned coverage periods.
  

Requirements Qualifications

• 3+ to 5+ years of hands-on experience in business intelligence, data analytics, or technical operations, with a track record of driving internal adoption of modern cloud and AI tools.
  

• Proven capability as a cloud power user possessing fluent SQL skills (complex joins, aggregations, window functions, and CTEs) and applied Python proficiency for API data extraction and transformation.
  

• Practical experience building shared tools with Claude, including authoring Claude Skills, configuring shared Claude Projects, scoping MCP connectors, and leveraging developer or multi-step execution environments.
  

• Demonstrated ability to lead technical change management: writing durable SOPs, conducting asynchronous training, and quantitatively measuring software adoption.
  

• Strong business intelligence development background, with proven experience building dashboards people rely on and maintaining data reconciliation against source consoles.
  

• Hands-on familiarity with modern cloud data warehouse environments (Google Cloud BigQuery preferred) and data modeling principles.
  

• Working knowledge of the modern LLM landscape, including cost-aware model routing, token optimization, and context-window dynamics.
  

• Prior experience in e-commerce marketplaces (Amazon, Walmart), retail media, or multi-client agency environments is a distinct advantage.
  

• Excellent written and verbal English communication skills, capable of translating complex technical concepts into straightforward guidance for non-technical peers.
  

• Ability to work remotely on a permanent schedule covering substantial US business hours (US Eastern / Pacific overlap) from the Philippines.
  

Key Competencies

• Pedagogical Technologist: Takes genuine pride in teaching and enabling peers, recognizing that durable operational SOPs and widespread adoption create far more organizational value than isolated technical complexity.
  

• Healthy Scepticism & Data Rigor: Instinctively distrusts unverified numbers, code, and external scripts, routinely auditing models and tracing discrepancies back to source data before publishing.
  

• Cloud Power User Pragmatism: Prioritizes agile, cloud-native tools, prompt-engineered skills, and automated pipelines to solve pressing business problems rapidly over cumbersome theoretical architectures.
  

• Pragmatic Gatekeeper: Exercises sound judgment to say "no" to unvetted or low-value tools, systematically consolidating high-frequency requests into scalable, reusable assets.
  

• Client Data Stewardship: Understands that managing workflows across competing major consumer brands requires uncompromising adherence to client context isolation and data governance.