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 Product and Engineering 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 Govini 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.
The role also involves overseeing manual QA and validation, especially for high-volume checks with quick turnaround. Key responsibilities include triaging requests, prioritizing workloads, meeting SLAs, establishing feedback loops to reduce errors and improve accuracy, and documenting issues and resolutions to enhance future execution. Daily/weekly status updates on volume, trends, and blockers are required.
Further responsibilities encompass maintaining and improving SOPs, QA guidelines, and validation standards; tracking key performance metrics and risks; leading calibration and review routines; and supporting performance coaching and skill development.
- U.S. Citizenship is required
- 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 (including offshore and/or shift-based coverage preferred)
- 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
- Comfortable operating in a “supporting leader” capacity and reporting outcomes, blockers, and risks upward
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Ability to translate operational problems into simple technical solutions (query-based checks, automated sampling, error flagging, process instrumentation)
Skills Required
- 3+ years of experience in content operations, data operations, research operations, or data QA/validation
- 1-3+ years experience leading analysts or data QA teams
- Proven ability to manage high-volume validation work with tight SLAs
- SQL and Python experience
- Experience with structured datasets and validation outputs
- Strong written communication skills
- Ability to prioritize, triage, and execute quickly
Govini Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Govini and has not been reviewed or approved by Govini.
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Healthcare Strength — Healthcare coverage is positioned as strong, with medical, dental, and vision insurance described as covered “in full” for employees and offered with competitive options for families.
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Retirement Support — Retirement support appears competitive, with a 401(k) match listed up to 4% and immediate vesting, which strengthens the long-term value of the package.
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Leave & Time Off Breadth — Time-off benefits are broad on paper, including unlimited vacation and sick days, which can increase flexibility if team norms allow consistent usage.
Govini Insights
What We Do
Govini builds software to accelerate the Defense Acquisition Process. Ark, Govini’s flagship product, is a suite of AI-enabled applications, powered by integrated government and commercial data, that solves problems across the entire spectrum of Defense Acquisition, including Supply Chain, Science & Technology, Production, Sustainment, and Modernization. With Ark, the Acquisition community eliminates slow, manual processes and gains the ability to rapidly imagine, produce, and field critical warfighting capabilities. Ark transforms Defense Acquisition into a strategic advantage for the United States.
