AI-Driven Data Architect for Client Engagement

Unchain Data; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Kraken is seeking a Client Engagement Data Analyst - AI to align data architecture with AI-driven insights and automation across Client Engagement. You will co-own data structure, tagging, and governance to power AI recommender systems and dashboards.

The role requires coordinating with CE, AI/automation teams, and engineering to ensure clean, model-ready data and scalable AI capabilities across the organization.

Qualifications

• 3–5 years as a data/operations analyst, preferably in fintech, crypto, or high-volume customer operations.
• Proven track record building AI-ready data foundations and governance.
• Strong SQL skills across complex systems.
• Experience with Zendesk or similar CX platforms.
• Proficiency with BI tools like Looker or Mixpanel; dashboard ownership.
• Ability to translate between frontline ops and engineering teams.
• Experience coordinating AI agents or AI-powered workflows.
• Interest in teaching and uplifting team AI capability.

Responsibilities

• Design and coordinate AI agent workflows that solve real operational problems, going beyond off-the-shelf tools to build systems that actually drive outcomes
• Identify where AI can deliver the most impact within CE operations and take ownership of making those use cases work end-to-end
• Establish the data foundations, tagging logic, and system architecture that allow AI to make accurate, reliable decisions
• Act as the team's first mover — testing, applying, and refining new AI capabilities before they are rolled out broadly
• Design and maintain data models that support AI tagging, classification, and reporting across Client Engagement systems
• Audit and optimize data tables in Zendesk and connected platforms to ensure they are structured for AI consumption
• Define how support data categories, fields, and hierarchies map to desired AI output — working closely with the AI layer owner to ensure inputs are clean, consistent, and model-ready
• Identify gaps between current data structure and what is needed to unlock new AI capabilities
• Build and maintain dashboards and reports that surface AI performance signals, support trends, and operational health metrics
• Develop the Echo Report and other AI-driven reporting outputs that translate raw data into clear client and operational insights
• Monitor the feedback loop between AI outputs and human behavior — tracking when specialists accept, edit, or override AI-suggested categories
• Proactively identify emerging patterns in support data and connect them back to reporting and signal strategy
• Partner closely with senior AI and engineering leaders — learning from them and being the first to apply new capabilities within CE
• Act as the connective layer between CE operations, the AI/automation team, and engineering — translating operational data needs into clear technical requirements
• Champion AI literacy across the CE team — teaching, enabling, and building confidence so that AI becomes part of how everyone works
• Communicate data model changes, tagging updates, and reporting outputs to non-technical stakeholders in plain language
• Contribute to backlog prioritization by sizing the data readiness requirements of proposed AI and automation initiatives

Skills

Strong SQL

Data governance

AI/ML data readiness

Cross-functional collaboration

Analytical thinking

Problem solving

Tools

Zendesk

Looker

Mixpanel

Python (optional)

Job description

Kraken is seeking a Client Engagement Data Analyst - AI to align data architecture with AI-driven insights and automation across Client Engagement. You will co-own data structure, tagging, and governance to power AI recommender systems and dashboards.

The role requires coordinating with CE, AI/automation teams, and engineering to ensure clean, model-ready data and scalable AI capabilities across the organization.