Applied AI & Analytics Manager - CO

• What You will Own
  

• Qore Onboarding & Automations: Lead the firm's migration to Qore. Define role-specific usage SOPs (keeping advertising in Xnurta and retail/reporting in Qore). Build and own Qore skills, ensuring any account-altering automations are logged, reversible, and explicitly approved by leadership.
  

• AI Operating Model & Rollout: Establish the firm's AI hierarchy (Qore, Claude, Gemini) and task-based SOPs. Drive a phased rollout with targeted training. Manage Claude Projects, skills, and token/context efficiency to control monthly costs.
  

• Tool Selection & Vetting: Vet and stress-test new skills, plugins, and connectors in an isolated, client-data-free environment before deployment. Maintain a comprehensive tool register.
  

• Cross-Functional Partnership: Collaborate with Account and Creative teams to solve analytical challenges and automate manual workflows. Convert recurring requests into standing Qore tools and build compliant AI workflows for creative assets.
  

• Client Reporting: Build Qore dashboards for recurring sales, ad performance, and major retail events. Retire Looker Studio for supported channels after validation. Partner with IT to enforce strict access controls.
  

• Data Foundation: Validate the Trellis data migration by reconciling BigQuery data against source consoles. Centralize and document data modeling definitions, and run proactive quality checks.
  

• Forecasting Models: Refine forecasting for sales, ad budgets, and inventory by documenting assumptions, backtesting against actuals, and honestly reporting error margins.
  

• Client Intelligence Layer: Build a governed, isolated LLM context environment for each client (Month 7+) that answers with citations and routes actions strictly to approved Qore automations.
  

• IT Collaboration: Document clear operational boundaries with IT: you own the use cases, while IT retains the final say on security, permissions, and platform administration. Cross-train on critical urgent access tasks.
  

Requirements

• Advanced Claude Development: Hands-on experience building and deploying shared AI workflows (Skills, Projects, Connectors, MCP, Cowork/Code) that teams actively rely on.
  

• Change Management: Proven track record of rolling out tools, training colleagues, and driving measured adoption rather than just announcing launches.
  

• Rigorous Vetting: Disciplined approach to reading code before running it, testing tools against known baselines, and rejecting unsafe solutions.
  

• Technical Stack: Fluent in advanced SQL (CTEs, window functions) and practical Python for API extraction, data cleaning, and validation.
  

• BI & Reconciliation: Builds and maintains reliable BI reporting with a strict habit of auditing data discrepancies and verifying totals against source systems.
  

• AI Cost Strategy: Current knowledge of the LLM landscape, token economics, and how to match model tiers (size/cost) to specific tasks.
  

• Clear Documentation: Writes accessible, concise SOPs and guidance tailored for busy, non-technical colleagues.
  

• Remote Proficiency: Excels in async communication and documentation, with substantial overlap in US Eastern or Pacific hours.
  

• Service & Boundaries: Strategic partner to internal teams who balances helpfulness with the ability to say "no" to misaligned requests.
  

• Strict Confidentiality: High judgment and discipline in legally separating and protecting data across competing client brands.
  

Benefits