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# Principal Data Governance Engineer

- **Company:** Mindlance
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Business Software, Data Governance, Data Strategy
- **Published:** November 12, 2026
- **Apply:** https://www.thejobnetwork.com/job/fd57011a-2b8b-4b70-9849-f6752a5c1638/principal-data-governance-engineer

## About the Role

* 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education., * Strong knowledge of data strategy, governance, risk management, operating models, and transformation execution, with the ability to incorporate these considerations into delivery roadmaps.
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 * Familiarity with Client's legacy banking systems, technology platforms, and operating environments is a plus, particularly in identifying dependencies between legacy and target-state capabilities. (they don't have to be coders, need to be very comfortable with understanding the business application and usage of the code), * Experience leading or advising on large-scale business and technology transformations within financial services or another highly regulated environment.
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 * Experience partnering with senior leadership and influencing strategy, priorities, and decision-making across Technology, Product, Data, and Risk stakeholders.
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 * Strong knowledge of data strategy, governance, risk management, operating models, and transformation execution, with the ability to incorporate these considerations into delivery roadmaps.
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 * Strong analytical, problem-solving, and executive communication skills, with the ability to translate complex topics into clear recommendations and actions.
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 * Familiarity with Client's legacy banking systems, technology platforms, and operating environments is a plus, particularly in identifying dependencies between legacy and target-state capabilities.
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## Description

* The Engineer 5 will serve as a senior expert supporting highly complex business and technical needs, partnering across Technology, Product, Data, and Risk stakeholders to influence strategy, solve complex challenges, and advance long-term transformation objectives.