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Technical Product Operations Specialist at JeffreyM Consulting. ** This is a 6-month contract opportunity with potential to extend**. Location:.  Remote (U.S.). Contract Duration:.  6 months. Start Date:.  ASAP. About the Role. We are seeking a . Technical Product Operations Specialist.  to support complex, data-driven initiatives across multiple products and platforms. This role sits at the intersection of . product operations, program execution, analytics, and technical tooling. , partnering closely with product, engineering, legal, and cross-functional stakeholders.. The ideal candidate brings strong . technical acumen, product intuition, and operational rigor. , with the ability to independently analyze data, leverage AI-assisted workflows, and drive measurable improvements through automation and structured execution.. What You’ll Do. Support . program execution strategy.  across multiple products and platforms, including launching new initiatives (0→1), accelerating delivery, and improving execution quality. Write and optimize . advanced SQL queries.  to collect, transform, and analyze data, identifying trends and insights to inform decision-making. Build and maintain . dashboards, reports, and visualizations.  to communicate findings and support real-time operational decisions. Leverage . AI agents and AI-assisted tools.  to automate workflows, accelerate analysis, and prototype operational solutions. Proactively identify execution risks, develop . data-backed mitigation plans. , and communicate tradeoffs and updates clearly to stakeholders. Drive general . program management.  activities, including dependency tracking, prioritization, and cross-functional alignment, with a strong focus on technical rigor and accountability. 8+ years of experience in . product operations, program management, consulting, strategy, or technical operations. Strong proficiency in . SQL. , including complex queries (CTEs, joins, window functions, aggregations, transformations). Hands-on experience using . AI-assisted tools or agents.  to accelerate analysis or automate workflows. Expert-level proficiency in . Google Workspace. , especially Google Sheets (advanced formulas, pivot tables, documentation, automation). Proven ability to manage . multiple concurrent workstreams.  independently. Strong analytical and critical-thinking skills, with a track record of using data to anticipate and resolve execution challenges. Excellent communication, organization, and time-management skills. Nice to Have. Previous experience at a large tech company, such as Amazon, Meta, Google, Microsoft, etc.. Experience with . VS Code or similar development environments. Exposure to . low-code / no-code tools.  or AI-assisted prototyping. Dashboarding or BI experience (e.g., Tableau, Looker, or similar tools). Familiarity with . data pipelines, ETL processes, or data infrastructure. Experience partnering closely with . engineering teams.  on technical requirements. Background in . QA, triage operations, or ML/AI validation workflows. Additional Notes. This role requires a high level of . ownership, responsiveness, and follow-through. . Success will be measured through execution quality, data-driven impact, and feedback from cross-functional partners.. Company Location: United States.