Data Querying Product Jobs

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Technical Product Operations Specialist IV (6296)

itD Tech Washington, DC 🇺🇸 Remote

Washington, DC

Today

Full time Ai Workflows Analytics Business Intelligence

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Job Description

itD Tech offers a role built for impact across multiple products, supported by collaboration with a strong internal practice community. This position blends program execution with technical product operations, using data analysis, advanced SQL, dashboarding, and AI-assisted workflows to improve operational efficiency and mitigate program risks. You will work in a remote capacity from Washington, DC, with support from cross-functional stakeholders and ongoing internal networking and learning.

What you’ll do

Drive program execution across multiple products and platforms, including 0-to-1 initiatives, accelerating delivery, and improving product outcomes through technical and programmatic solutions.
Use advanced SQL to write and optimize queries with CTEs, window functions, joins, aggregations, and data transformations for product analytics and actionable insights.
Build and maintain dashboards, reports, and data visualizations that support real-time decision-making.
Leverage AI agents and AI-assisted workflows to accelerate analysis, automate repetitive processes, and prototype operational improvements.
Identify and mitigate program risks by anticipating roadblocks, developing mitigation plans, and driving issues toward resolution using data and critical thinking.
Collaborate with product, engineering, legal, and cross-functional stakeholders to define requirements, strengthen execution, and deliver program objectives.
Manage multiple concurrent workstreams independently while maintaining strong organization, documentation, communication, and execution standards.

What you’ll bring

8+ years of relevant experience in consulting, strategy, operations, technical product operations, or program management.
Advanced SQL proficiency, including CTEs, window functions, joins, aggregations, and data transformations.
Experience using AI agents and AI-assisted workflows to accelerate analysis, automate tasks, or improve productivity.
Expert-level proficiency with Google Workspace, especially Google Sheets, including complex formulas, pivot tables, detailed documentation, and automated workflows.
Proven ability to manage multiple workstreams simultaneously with a high degree of independence.
Strong analytical and critical-thinking skills, using data to identify, anticipate, and resolve problems.
Ability to work independently, take initiative, and drive programs forward with limited supervision.
Strong organizational, time-management, and cross-functional communication skills.
Ability to quickly learn and adapt to new tools, technologies, and technical requirements.

Tools you’ll use

SQL, CTEs, window functions
Google Workspace (especially Google Sheets)
AI agents, AI-assisted workflows

Benefits

Comprehensive medical benefits
401k plan
Paid holidays

Internal responsibilities

Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material (blogs, media material).
Build out material to contribute to the Digital Transformation practice.
Attend internal itD networking events (in person and virtual).
Work with leadership on career fast-track opportunities.

Preferred qualifications and skills

Experience supporting product operations teams, particularly within large technology organizations.
Experience with AI-assisted development, vibe coding, low-code/no-code prototyping, or AI-generated code.
Experience with VS Code or similar development environments.
Experience building dashboards and data visualizations using Tableau, Looker, or similar platforms.
Familiarity with data pipelines, ETL processes, and data infrastructure concepts.
Experience partnering with engineering teams on technical specifications and requirements.
Background in quality assurance, triage operations, ML/AI validation, or product testing.
Experience developing and implementing manual or automated test strategies.

Education: Bachelor’s degree in a relevant field or equivalent work experience.

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