AI & DATA Senior Manager - Platform Engineering Lead

Posted Date 10/21/2026

Description

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This position is onsite, office-centric (5 days a week), based in a Truist core location.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

• Implements and may help establish key elements of short-term (less than 1 year) tactical and operational plans with significant contribution towards the achievement of results for the job area.
• Leads the development and deployment of AI models and data architectures to enhance business processes and system performance.
• Collaborates with cross-functional teams to integrate AI solutions into business applications and workflows.
• Conducts experiments and assesses AI initiative performance to drive continuous improvement.
• Supports innovation efforts by contributing to intellectual property and advancing AI capabilities.
• Manages a small to mid-sized AI and data team consisting of lower-level Management, as well as experienced individual contributors.
• Develops and enforces AI and data governance standards aligned with organizational objectives and compliance requirements.
• Coaches and mentors teammates to build AI expertise and foster a data-driven culture.
• Makes moderate to significant improvements of AI and data processes and systems.
• Collaborates with stakeholders to identify real-world problems and apply AI and analytics for actionable insights.

Qualifications

Required Qualifications

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, a related field, or equivalent education, training, and work-related experience.
• Minimum of 7 years of professional experience in AI and data.
• Experience managing teams and delivering AI and data-driven solutions.
• Strong knowledge of AI models, data architectures, and analytics methodologies.

Preferred Qualifications

• Advanced degree in a relevant technical or business discipline.
• Experience in the financial services industry.
• Familiarity with regulatory compliance and data governance frameworks.
• Knowledge of emerging trends in AI and data.
• Demonstrated expertise architecting and delivering production-grade AI/ML and agentic AI solutions using platforms such as Amazon SageMaker, AWS Bedrock and AgentCore, and Azure OpenAI.