Data & AI Engineer

Job Description

Job Description

Data & AI Engineer

Company Overview

Arizent is a business information company empowering professional communities through insights, analysis, and connection opportunities. Key brands include American Banker, The Bond Buyer, Financial Planning, National Mortgage News, Accounting Today, Employee Benefit News, and Digital Insurance.

Job Summary

Arizent is seeking a creative Data & AI Engineer to accelerate AI adoption and shape data strategy. Reporting to the Senior Director of Data and AI, this role involves building and deploying AI and agentic solutions (Google Gemini, Claude), designing data pipelines, and partnering with cross-functional teams to drive data-informed decisions.

Machine Learning & Artificial Intelligence

Discover more

Educational Resources

Software

AI Tools, Chatbots & Virtual Assistants

Key Responsibilities

• AI & Agentic Solutions (80%): Build and deploy agentic solutions using Google Gemini and Claude, ranging from low-code workflows to multi-agent systems with Agent Development Kit (ADK). Partner with teams to identify use cases, manage the full solution lifecycle (mapping to user enablement), and ensure reliability and accuracy.
• Data Warehouse & Pipeline Management (10%): Maintain the BigQuery data warehouse, design and manage ETL pipelines integrating sources like Omeda, Salesforce, Google Analytics, and third-party services (Reach Marketing, Discovery, Bombora). Manage scheduled queries and support audience/lead enrichment.
• Data Quality & Reporting (10%): Troubleshoot tracking issues across Google Analytics, Omeda, Piano, and Salesforce. Build monitoring dashboards to surface issues and maintain client-facing dashboards in Data Studio.

Key Performance Indicators

• Data Quality: Consistent accuracy across reporting with reduced tracking errors.
• Self-Service Access: Timely, reliable dashboard access for internal teams.
• Agentic Impact: Measurable cost/time savings and documented ROI for deployed agents.

Required

Skills and Qualifications

• 1+ years of experience in data engineering, analytics engineering, or AI/ML engineering.
• Proficiency in SQL and Python.
• Hands-on experience building agentic solutions (prompt engineering, tool/function calling) using platforms like Google Gemini or Claude.
• Experience designing ETL pipelines and integrating multiple data sources.
• Strong knowledge of the Google Cloud ecosystem, specifically BigQuery.
• Dashboarding experience with Data Studio (or comparable BI tools).
• Experience with Agent Development Kit (ADK) or multi-agent orchestration frameworks.
• Strong communication skills with the ability to translate technical concepts for non-technical stakeholders.

Preferred

• Familiarity with Matillion or similar ETL/ELT tooling.
• Experience with marketing/audience platforms (Omeda, Salesforce, Piano).
• Prior experience in media, publishing, or B2B information services.
• Experience designing data models and warehouse schemas from scratch.

Tools & Systems

BigQuery, Data Studio, Google Gemini, Claude, Python, SQL, Matillion, Omeda, Salesforce, Google Analytics, Piano, Google Workspace.

Location & Schedule

Location: New York, NY

• Remote

Machine Learning & Artificial Intelligence

Reporting To: Senior Director of Data and AI

Cross-Functional Collaboration: Sales, Marketing, Demand Gen, Editorial, Finance, Product, OLT.

Benefits

• Medical, dental, and vision coverage
• Disability and life insurance
• Paid vacation, sick, personal, and mental health days
• Parental leave and holiday pay
• 401(k) program
• Pretax transportation benefits
• Fitness reimbursement

Compensation

Salary Range: $100,000 - $125,000 per year

Software

• Salary based on experience, skills, knowledge, and location. Applicants encouraged to include salary expectations in cover letter.