Global Production Data Lead

Global Production Data Lead (AI, Automation & Operations Intelligence)

The Global Production Data Lead will oversee the design, implementation, and governance of all data, analytics, and performance tracking across Craft’s global content production ecosystem. You will own the metrics and insights generated from GenAI platforms, automation tools, workflow systems, DAM/PIM infrastructures, and production pipelines—transforming them into actionable intelligence for operational excellence.

This role is ideal for someone with a strong background in digital production, analytics, and AI-enabled operations. You will shape global measurement frameworks, unify reporting practices across hubs, and ensure that teams worldwide have real-time visibility into performance, productivity, cost efficiency, and quality.

You are a hybrid thinker: analytical, tech-driven, operations-focused, and comfortable enabling teams to use data to scale.

YOUR RESPONSIBILITIES

Global Data Stewardship & Measurement Architecture

- Define and maintain a unified global data model tracking all operational metrics from GenAI tools, workflow platforms, automation systems, and production channels.
- Establish governance protocols ensuring data accuracy, consistency, and comparability across all Craft hubs and studios.
- Administrate agreed KPIs and set new ones to evaluate performance across creative, design, video, CGI, localization, and AI-assisted automated production.

AI & Automation Metrics Tracking

- Capture, consolidate, and analyze usage metrics from GenAI platforms such as:
- ChatGPT Enterprise, Claude, Gemini, Microsoft Copilot
- Google Cloud/Vertex server, Adobe Gen Studio, AWS based self hosted infrastructure.
- AI copywriting/video/CGI tools
- Track model output quality, success rates, productivity impact, cost per generation, latency, and model-to-model efficiency comparisons.
- Evaluate automation pipelines built with:
- Make, n8n, Celtra/Asana/Jira Automation

Workflow, DAM, and Production Analytics

- Build dashboards that centralize data from:
- Workflow tools (Adobe Workfront)
- DAM/PIM systems (Adobe AEM, Aprimo, Brandfolder, Frontify)
- Production and creative tools (Adobe CC, Iconik, Figma, Frame.io, CGI platforms)
- Analyze throughput, cycle times, SLA compliance, resource utilization, QA outputs, and content performance across channels.

Insight Generation & Reporting

- Produce regular global reports for leadership, including:
- Operational health summaries
- AI adoption and efficiency insights
- Automation ROI
- Cost-saving models
- Hub performance comparisons (week-over-week, month-over-month, year-over-year)
- Automate reporting pipelines wherever possible using AI and business intelligence tools.

Collaboration & Enablement

- Partner with Global Operations, Studio Leads, Tech and Data teams to define data needs and translate raw metrics into insights.
- Support hubs in troubleshooting data gaps, improving measurement, and increasing AI and automation maturity.
- Train teams on reading dashboards, understanding analytics, and integrating insights into their workflows.

Culture, Governance & Quality

- Promote a data-first culture grounded in transparency, accountability, and responsible AI usage.
- Ensure global teams understand how data informs resource planning, forecasting, and continuous improvement.

REQUIRED SKILLS

Professional Background

- 10+ years of experience in data analytics, operations intelligence, digital production, or a hybrid role in a global content environment.
- Experience working with AI/GenAI tools and integrating their usage data into analytics frameworks.
- GenAI Metrics & Tooling Expertise (Required)
- Demonstrated experience with usage tracking and data export/API integration for:
- ChatGPT Enterprise Analytics Console
- Midjourney Grid & Usage Logs
- Adobe Firefly Analytics
- Runway/Sora generation logs
- Copywriting AI platforms
- Understanding of how to measure:
- Model efficiency
- Content quality outputs
- Prompt performance
- Cost per generation
- Quantifiable productivity impact

Automation & Workflow Analytics (Required)

Hands-on experience tracking process metrics from:

- Make (Integromat), Workato, n8n analytics
- Asana, Jira, dashboards
- Google Workspace / Microsoft 365 automation logs
- SLA, velocity, throughput, and resource allocation metrics

Data & BI Tools (Strong Requirement)

- Proficiency with dashboards and analytics tools such as:
- Power BI
- Tableau
- Looker
- Big Query / Snowflake (bonus)
- Airtable Interfaces
- Experience creating automated data pipelines and integrations using APIs and AI agents.

Technical Skills

- Strong Excel and PowerPoint skills (including AI-enhanced features).
- Comfort with data visualization, trend analysis, forecasting, and predictive insights.
- Bonus: ability to script simple ETL/ELT tasks (Python, SQL, or AI-assisted coding).

Soft Skills

- Excellent communication skills in English (Spanish or other languages a plus).