Senior Associate AI & Data Consultant
Truist · Atlanta, GA
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Jul 17, 2026
Atlanta, GA
Jul 21, 2026
What this job asks for AI summary
This role sits within a privacy engineering function, focused on running and automating Privacy Impact Assessment processes across multiple business units, building out privacy controls, and maintaining compliance documentation. The work involves coordinating with legal, compliance, risk, and technical teams to gather data asset information and drive remediation. A background in AI and data (at least three years) is expected, with privacy experience a plus.
Mid level · 3+ years · National · Bachelor's required · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The SOC classification is genuinely uncertain. The job title and opening description frame this as an AI/data role ('builds and designs AI models and data architectures'), but the actual day-to-day duties are almost entirely privacy governance and compliance work — executing Privacy Impact Assessments, coordinating with Legal/Risk/Compliance, and documenting controls. This reads more like a business/systems analyst or privacy analyst role than a data scientist or software developer. 15-2051 (Data Scientists) was chosen to match the stated framing and required qualifications, with 15-1211 (Computer Systems Analysts) as a close runner-up given the compliance/governance-heavy responsibilities.
No work location is specified in the posting beyond 'United States of America' and '1st shift.' No CBSA or state could be determined.
The required qualifications list 'Understanding of AI models, data architectures, and analytics methodologies' — these are framed as conceptual knowledge rather than hands-on tool proficiency, so no specific named technologies could be extracted as concrete skills. The skills listed reflect the closest named concepts from the requirements section.
Privacy Impact Assessment (PIA) experience and familiarity with operational technology tools appear only under Preferred Qualifications.
No compensation figures are provided in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): privacy engineering.
Read the full posting
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