Air Group

Lead Data Operations & Quality

Pittsburgh, Pennsylvania, United States

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
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
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Before you apply

Sponsorship: Visa sponsorship not confirmed — sponsorship source
Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
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Apply at Air Group

What you’ll work on

Full posting

Oversee daily workflow, assignments and SLA delivery for two offshore teams
Triage requests and prioritize high-volume manual QA and validation checks
Coach analysts through calibrations, feedback and 1:1s
Build feedback loops to reduce errors and document issues and resolutions
Maintain SOPs, QA guidelines and validation standards

From the employer’s posting

overseeing daily workflow, assignments, prioritization, throughput, and SLA delivery

Key responsibilities include triaging requests, prioritizing workloads, meeting SLAs

consistent coaching (calibrations, feedback, 1:1s/lead check-ins)

establishing feedback loops to reduce errors and improve accuracy, and documenting issues and resolutions

maintaining and improving SOPs, QA guidelines, and validation standards

What you’ll bring

All qualifications

Core experience

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).

Preferred experience

including offshore and/or shift-based coverage preferred
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)

Qualification wording

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).

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)

Tools in this posting

Python
SQL

Source

- 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

Posting record

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Open 5 monthsWe first saw this listing 177 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: May 1, 2026 · 177 days ago
Recorded sightings: 118
Last seen by us: Oct 26, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

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Company Description

Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.

Job Description

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

Scope of Responsibilities

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.

Qualifications

U.S. Citizenship is required

Required Skills:

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

Desired Skills:

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)

We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.

Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Source details

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Source notes

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Pay

No pay amount identified in the saved description.

Location & working pattern

Pittsburgh, Pennsylvania, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

Qualifications - U.S. Citizenship is required Required Skills:

More source context

Desired Skills: - 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

Open source at job-boards.greenhouse.io ↗Read the full description ↓

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