Job Description & Details
This Data Risk Manager role drops you right into the middle of a massive business and technology integration in Richmond. If you know how data flows through complex systems and how to spot where things can break compliance, security, or operational rules, this is your chance to steer the strategy without getting bogged down in writing code.
What You'll Actually Be Doing
You'll spend your days acting as the bridge between technical data pipelines and risk mitigation. Your core mission is to look at operational and analytical data flows, third-party integrations, and downstream consumption to figure out where the vulnerabilities are. You'll be partnering closely with data architects, software engineers, and risk stakeholders who might speak completely different languages, meaning you'll need to translate heavy data architecture concepts into executive-level risk assessments that leadership can actually act on.
The Core Tech Stack
There isn't a specific coding stack to master here, but you live and breathe data management, data governance, and technology risk frameworks. You need a deep understanding of how large-scale data migrations and conversions happen in the real world, because that is where data risk usually explodes. Familiarity with data quality tools and governance concepts is non-negotiable, and if you happen to hold a DAMA or CDMP certification, it's a huge bonus that will instantly give you credibility with the compliance teams.
Interview Expectations
Expect the hiring managers to test your ability to handle ambiguous situations, likely asking you to describe a time you had to evaluate a data migration plan with incomplete information and how you identified the hidden risks. They want to see that you don't just point out problems, but that you know how to design practical data management controls and validation activities that won't completely grind engineering velocity to a halt.
Application Advice
Skip the generic risk management buzzwords and tailor your resume to emphasize actual large-scale data migrations, governance frameworks, and executive communication. Make sure keywords like 'data risk assessment,' 'data governance controls,' 'data flows,' and 'third-party integrations' are front and center so you easily clear the initial ATS screening.