Full-time jobs in Pittsburgh, PA

About the role

We are seeking an exceptional and experienced Senior Content Operations team member, a role for someone who shares our passion and obsession with quality. You will be a core member of our team dedicated to helping our clients replace time-consuming, manual processes to achieve informed, real-time decisions about government markets, competitors, and agency relationships. The ideal candidate is a hands-on analyst with large dataset experience. You must also possess strong interpersonal skills to work cross-functionally across internal teams and with Air platform Subject Matter Experts (SMEs). You will support the Content Analyst Manager in overseeing two offshore teams across split shifts, ensuring the delivery of high-quality, fast-turn validation and QA. This role involves assisting with day-to-day team management, workload prioritization, and performance support while maintaining high-confidence accuracy across every data point. You will own feedback loops and process improvements—leveraging technical skills to reduce rework, improve scalability, and strengthen overall execution—while reporting progress, risks, and outcomes directly to the Content Analyst Manager. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel The Senior Team member you will manage and provide leadership for two offshore teams, overseeing daily workflow, assignments, prioritization, throughput, and SLA delivery. This includes consistent coaching (calibrations, feedback, 1:1s/lead check-ins) to maintain morale and accountability across different cultures and hours, as well as escalating risks, resourcing gaps, and performance concerns to the Content Analyst Manager.

What you'll bring

• You must also possess strong interpersonal skills to work cross-functionally across internal teams and with Air platform Subject Matter Experts (SMEs).
• 3+ years of experience in content operations, data operations, research operations, data QA/validation, or similar roles supporting structured data workflows
• 1–3+ years experience leading analysts or data QA teams
• Proven ability to manage high-volume validation work with tight SLAs, competing priorities, and frequent context switching
• SQL and Python experience
• Experience working with structured datasets, logs, and validation outputs to identify root causes and reduce rework
• Familiarity with data QA concepts (sampling methods, error categorization, trend tracking, and continuous improvement loops).
• Demonstrated success in coaching teams, improving performance, and maintaining high-quality standards
• Strong judgment and attention to detail when validating complex relationships and resolving ambiguous cases
• Excellent written communication — able to document decisions with clear reasoning and auditable source support
• Ability to prioritize, triage, and execute quickly while maintaining consistent quality
• Strong stakeholder communication skills and the ability to coordinate across multiple workstreams