AI/ML Deployment Lead managing end - to - end AI lifecycle at U.S. Bank. Ensuring compliance and operational excellence with cross - functional collaboration.
About the role
- SVP, Data Governance & AI role at LPL Financial leading enterprise governance for data and AI innovations. Ensuring compliance, quality, and responsible innovation across strategic platforms and domains.
Responsibilities
- Establish and lead enterprise governance for data and AI, ensuring compliance, quality, and responsible innovation across strategic platforms and domains.
- Enable DPO adoption in external domains (Risk, Operations, Finance etc).
- Mitigate legacy data risks during integrations.
- Operationalize DataOps and testing.
- Ensure regulatory compliance and remediation.
- Build AI governance and lead AI governance forums, change mgmt and MLOps foundations.
Requirements
- A bachelor's or master's degree in business, Computer Science, Information Systems, Data Science, Engineering, or a related field.
- At least 15 or more years of experience in product management, including a proven track record of leading significant successful data transformation initiatives in complex environments.
- Minimum 5 or more years of experience in data platform and services build-out in partnership with engineering teams and data product ownership in a mid to large scale enterprise.
- Proven experience in a senior leadership role over enterprise Data governance initiatives: Catalog, Quality, Lineage, Recon, and Retention.
- Experience leading teams through significant transformations, particularly in migrating from legacy systems to modern cloud architectures.
- Exceptional communication and stakeholder management skills.
- Demonstrated ability to foster a collaborative and innovative team culture.
- Experience with DataZone from AWS a plus.
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
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