Technical Product Operations Specialist IV
Ai Workflows
Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Visualization
Database
Databases
Digital Marketing
ETL
Informatica
Integration
Operations Management
Product Operations
Program Management
Reporting and Analytics
SQL
Workflow Management
Job Description
This contract role supports technical product initiatives aimed at improving operational efficiency, strengthening data analysis practices, and enhancing product quality. You will partner across teams to deliver operational improvements across multiple products and platforms.
Key Responsibilities
- Lead program execution across multiple products and platforms, including launching new initiatives, accelerating delivery, and improving operational outcomes through technical solutions.
- Develop, write, and optimize advanced SQL queries to extract, transform, and analyze large datasets, surfacing meaningful trends and opportunities.
- Create and maintain dashboards, reports, and data visualizations using tools such as Google Sheets, Tableau, Looker, or similar platforms.
- Use AI agents and AI-assisted workflows to accelerate analysis, automate repetitive tasks, and prototype operational solutions.
- Identify program risks and anticipate challenges, then build data-driven mitigation strategies to support reliable execution.
- Collaborate with cross-functional partners to define requirements, resolve technical issues, and implement scalable solutions.
- Manage multiple concurrent workstreams while maintaining clear documentation, communicating progress, and ensuring timely delivery.
- Apply analytical thinking and structured problem solving to improve operational processes, product quality, and overall program effectiveness.
Required Qualifications
- 8+ years of experience in consulting, strategy, operations, or program management, with an emphasis on technical product operations.
- Advanced SQL proficiency, including demonstrated use of CTEs, window functions, joins, aggregations, and data transformations.
- Hands-on experience with AI agents and AI-assisted workflows, including prompting, iteration, and workflow automation.
- Expert proficiency with Google Workspace, with strong experience in Google Sheets including complex formulas, pivot tables, process documentation, and automated workflows.
- Ability to independently manage multiple complex projects and competing priorities.
- Strong analytical and critical thinking skills, translating data into actionable recommendations.
- Proven capability to identify risks, troubleshoot technical challenges, and develop effective solutions.
- Excellent organizational, communication, and time management skills.
- Self-motivated approach with the ability to quickly learn and adapt to new technologies, tools, and evolving business requirements.
Tools and Technologies
SQL, CTEs, window functions, joins, aggregations, Google Workspace, Google Sheets, Tableau, Looker, AI agents, AI-assisted workflows, VS Code, Unidash, ETL, data pipelines, plus Google Sheets complex formulas, pivot tables, automated workflows, and process documentation.
Preferred Qualifications
- Experience supporting product operations within a large technology organization.
- Experience with VS Code or similar development environments.
- Familiarity with AI-assisted coding, vibe coding, and low-code or no-code prototyping.
- Experience building dashboards and visualizations using Tableau, Looker, Unidash, or comparable tools.
- Knowledge of data pipelines, ETL processes, and data infrastructure.
- Experience collaborating with engineering teams to define technical requirements and specifications.
- Background in quality assurance, operational triage, or machine learning and AI validation.
- Experience developing and implementing manual or automated testing strategies.
Location, Schedule, and Contract Details
- Location: New York, NY (hybrid)
- Hybrid sites: NYC, MPK, SEA
- Job type: Contract, 3-month position with potential for extension
- Expected hours: 40 per week
- Schedule: 8-hour shift, Monday to Friday
Benefits
- Dental insurance
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement plan
- Vision insurance
Application Information
- Language: English (Required)
- Sponsorship question: Do you or will you in the future require any sponsorship to work in the US?