Technical Product Operations Specialist IV

Linda Werner & Associates, Inc

. Support program execution strategies across multiple products and platforms .

Posted 10/6/2026contractUnited StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced SQL proficiency, including CTEs, window functions, joins, and data transformations to drive data-informed decisions. Capable of managing multiple complex workstreams while utilizing AI tools to enhance data analysis and reporting solutions.

Highest-signal resume keywords

Advanced SQL ProficiencyGoogle Workspace ExpertiseAI Tools ExperienceProgram ManagementData Analysis and Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL QueriesData TransformationsComplex FormulasAutomated WorkflowsData AnalysisDashboard DevelopmentReporting SolutionsProcess DocumentationTechnical RequirementsProblem Solving

Soft Skills

Strong Communication SkillsTime ManagementOrganizational AbilitiesCritical ThinkingSelf-Directed Approach

Tools & Technologies

Google SheetsTableauLookerAI AgentsVS Code

Industry Keywords

Program ManagementProduct OperationsData PipelinesETL ProcessesQuality Assurance

Tech Stack

Tools & technologies

ETLSQLTableau

About the role

Key responsibilities & impact

Support program execution strategies across multiple products and platforms
Launch new programs and initiatives, accelerate delivery, and improve product quality and outcomes through technical and programmatic solutions
Write, troubleshoot, and optimize advanced SQL queries to collect, transform, and analyze data from multiple sources
Use CTEs, window functions, joins, aggregations, and data transformations to answer complex product and operational questions
Identify trends, patterns, risks, and insights that inform product strategy and business decisions
Build and maintain dashboards, reports, and visualizations using Google Sheets, Tableau, Looker, or similar tools
Develop reporting solutions that support timely and informed stakeholder decision making
Use AI agents and AI assisted tools to accelerate data analysis, automate repetitive tasks, and prototype technical solutions
Proactively identify program risks and develop data backed mitigation strategies
Communicate findings, recommendations, rationale, and program updates clearly to technical and nontechnical stakeholders
Manage multiple concurrent workstreams while maintaining strong organization, quality, and attention to detail
Strengthen relationships across product, engineering, legal, operations, and other cross functional teams
Anticipate roadblocks, break complex problems into manageable components, and drive solutions through structured analysis
Create detailed process documentation, technical requirements, and step by step operational guidance

Requirements

What you’ll need

8 or more years of relevant experience in strategy, operations, consulting, program management, technical product operations, or a related field
Demonstrated experience managing multiple complex workstreams independently
Advanced SQL proficiency, including CTEs, window functions, joins, aggregations, and data transformations
Experience using data to identify problems, evaluate options, and influence product or business decisions
Experience with AI agents, generative AI tools, or AI assisted workflows
Ability to create, test, and refine prompts and AI enabled processes to accelerate work
Expert level proficiency with Google Workspace, particularly Google Sheets
Experience creating complex formulas, pivot tables, automated workflows, reports, and detailed documentation
Strong critical thinking and structured problem solving skills
Ability to anticipate program risks and develop practical, data supported solutions
Strong written and verbal communication skills
Proven time management, prioritization, and organizational abilities
Self directed approach with the ability to take initiative and move projects forward with limited supervision
Ability and willingness to quickly learn new technologies, tools, systems, and business domains
English (Required)
Ability to work in the US without requiring sponsorship
Preferred: experience supporting product operations within a large scale technology platform
Preferred: product operations experience within safety, integrity, regulatory, quality, or user and business operations
Preferred: experience with VS Code or a similar development environment
Preferred: experience with vibe coding, AI assisted code generation, or low code and no code prototyping
Preferred: experience developing dashboards and visualizations in Tableau, Looker, or similar platforms
Preferred: familiarity with data pipelines, ETL processes, and data infrastructure concepts
Preferred: experience working with engineering teams to define technical specifications and requirements
Preferred: experience in quality assurance, triage operations, ML validation, AI validation, or product testing
Preferred: experience developing and implementing manual and automated testing strategies

Benefits

Comp & perks

Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Retirement plan
Vision insurance
Potential for contract extension
40 hours per week
8 hour shift, Monday to Friday