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New York, New York, United States
Hybrid
Arizent is a business information company that empowers professional communities by providing insights, analysis, and opportunities to connect. With deep industry expertise and a data-driven platform, we deliver subscriptions, marketing services, live events, and access to Leaders, our executive forum. Our brands include trusted financial services publications such as American Banker, The Bond Buyer, Financial Planning, and National Mortgage News, as well as professional services brands like Accounting Today, Employee Benefit News, and Digital Insurance.
We are looking for creative thinkers with the skills and drive to help advance our vision. If you are interested in bringing 150 years of experience and reputation together with a start-up mentality, then we invite you to get to know us!
To learn more, visit www.arizent.com.
Headquartered in the heart of New York City, we also welcome remote employees across the United States, enabling us to build a team of exceptional talent wherever they are located.
We're looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses data and AI across our business. Reporting directly our Senior Director of Data and AI, you’ll be building and deploying AI, data, and agentic solutions on platforms like Google Gemini and Claude, design and maintain the data pipelines that power our reporting, and partner with teams across Sales, Marketing, Editorial, and Finance to turn data into decisions.
Key Responsibilities
AI & Agentic Solutions (80%)
Build and deploy agentic solutions on Google Gemini and Claude, ranging from no-code/low-code workflows to multi-agent systems built with Agent Development Kit (ADK).
Partner with teams across Arizent to identify use cases where agents can address real business needs. In collaboration with the Data & AI team, you will develop the full lifecycle from solution mapping to building, testing, agent training, and end-user enablement.
Maintain and continuously test deployed agents to ensure reliability, accuracy, and performance over time.
Collaborate with internal stakeholders and vendors to forecast and measure the impact of agentic solutions, including cost savings, time savings, and quality improvements.
Data Warehouse & Pipeline Management (10%)
Support the Senior Manager of Data & AI in maintaining our BigQuery data warehouse following established workflows and governance practices.
Design, build, and manage ETL pipelines integrating Omeda, Salesforce, Google Analytics, and third-party services (Reach Marketing, Discovery, Bombora, and others).
Set up and manage scheduled queries to keep dashboards and downstream systems current.
Support audience enrichment, lead and contact enrichment, and internal/external reporting workflows.
Data Quality, Troubleshooting & Reporting (10%)
Troubleshoot site traffic tracking and data collection issues across Google Analytics, Omeda, Piano, and Salesforce to preserve data integrity.
Build alerts and monitoring dashboards that surface tracking issues before they affect reporting.
Working closely with Data & AI team leadership to develop and maintain internal and client-facing dashboards in Data Studio that give stakeholders clear views of their KPIs.
Key Performance Indicators (KPIs) or Success Metrics
Data quality: Reporting across the business is consistently accurate and trusted, with measurable reductions in tracking errors and data discrepancies.
Self-service access: Dashboards and recurring reports give internal teams timely, reliable access to the KPIs they need without bottlenecks.
Agentic impact: Deployed agents demonstrate measurable cost or time savings, with documented ROI and adoption across teams.
Skills and Qualifications
Required
1+ years of experience in a data engineering, analytics engineering, and/or AI/ML engineering role.
Proficiency in SQL and Python.
Hands-on experience building agentic solutions, including prompt engineering, tool/function calling, and deploying agents in production using platforms like Google Gemini, Claude, or comparable LLM ecosystems.
Experience designing and building ETL pipelines and integrating multiple data sources.
Strong working knowledge of the Google Cloud ecosystem, especially BigQuery.
Dashboarding experience with Data Studio or a comparable BI tool.
Demonstrated ability to collaborate cross-functionally and translate business needs into technical solutions.
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Experience with Agent Development Kit (ADK) or other multi-agent orchestration frameworks.
Preferred
Familiarity with Matillion or comparable ETL/ELT tooling.
Experience with Omeda, Salesforce, Piano, or similar marketing/audience platforms.
Prior experience in media, publishing, or B2B information services.
Experience designing data models and warehouse schemas from scratch.
Tools and Systems Used
BigQuery, Data Studio, Google Gemini, Claude, Python, SQL, Matillion, Omeda, Salesforce, Google Analytics, Piano, Google Workspace.
Cross-Functional Collaboration
Works closely with members of the Sales, Marketing, Demand Gen, Editorial, Finance, Product, OLT teams.
Time Allocation
80% - AI and Agentic Solutions
10% - Database Management
10% - Data Troubleshooting
Why Join Arizent?
At Arizent, we believe equal opportunity is more than a policy, it's a source of strength and innovation. We are committed to creating an inclusive workplace where every employee feels valued, respected, and empowered to bring their authentic selves to work. Our Employee Resource Groups (ERGs) play a key role in creating a supportive and enriching work environment.
We offer competitive compensation and a comprehensive benefits package designed to support your well-being and growth. Benefits include:
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
Salary will be based on experience, skills, knowledge, and location. Applicants are encouraged to include salary expectations in their cover letter.
As an equal opportunity employer, we provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, height and weight, protected veteran status or any other protected status. This policy of equal employment opportunity applies to all terms and conditions of employment.