Manager-AI and Data Risk Management at Deloitte
Charlotte, NC
$141,200–$278,300from the description
Aug 12, 2026
Charlotte, NC
Sep 24, 2026
What this job asks for AI summary
A hands-on technical manager role at Deloitte's Regulatory, Risk & Forensic practice, leading data and analytics engagements for financial services clients. The position owns data architecture, governance, and platform solutions while integrating cloud, ML, and GenAI technologies, and serves as the primary client-facing technical lead overseeing distributed delivery teams. Best suited to an experienced data engineer or architect with financial services domain knowledge who is comfortable managing projects and mentoring staff.
Senior level · 7+ years · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (9)
No specific work location is stated in the posting; the compensation range note mentions a 'geographic differential' adjustment may apply, suggesting the role can be filled in multiple US locations. The role requires up to 50% travel.
The title uses 'Manager' in the Deloitte consulting sense — a hands-on technical delivery lead, not a people-manager with direct reports and budget ownership in the traditional sense. The primary day-to-day work is data architecture and platform engineering, which is why 15-1243 was chosen over 11-3021 (Computer and Information Systems Managers), though the runner-up is noted given the client-facing leadership and team oversight responsibilities.
The scripting/programming tools (Python, SQL, R, Java, Scala) are listed together under a single required proficiency bullet. Python and SQL are emitted as the primary named skills; R, Java, and Scala are captured as alternatives on the Python entry per the interchangeable-options rule.
Databricks, Snowflake, Apache Spark, and Kafka are listed together as Big Data Tools under required qualifications. Databricks is emitted as the primary with the others as alternatives; Apache Spark is also emitted separately as it is a distinct, widely-used technology in its own right.
Data management tools (Collibra, Alation, Informatica, Alteryx) are all listed under required qualifications; Collibra is the primary with the others as alternatives.
Visualization tools (Tableau, Power BI, Qlik) are listed under required qualifications; Tableau is primary with the others as alternatives.
Data mining platforms (Microsoft SQL Server, Amazon Redshift, Google BigQuery) are listed under required qualifications; SQL Server is primary with the others as alternatives.
AWS and Azure cloud certifications appear only under Preferred Qualifications, as does the PMP and CDMP credential.
A Master's degree or MBA is listed as preferred, not required; the hard minimum is a Bachelor's degree.
Read the full posting
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