Mid Level Senior Learning Consultant Jobs
Mid level senior learning consultant jobs go to professionals ready to own end-to-end learning program design, guide junior colleagues, and drive curriculum decisions with limited oversight. Openings are spread across on-site, remote, and hybrid settings in Healthcare & Medical Services, Accounting & Auditing, and Distribution & Wholesale, with employers like EY, Truist, and Instructure hiring at this level now.
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Posted Date
6/27/2026
Description
Regular or Temporary:
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)Please review the following job description:
Deliver technically advanced solutions in support of Truist’s Anti-Money Laundering (AML) Technology initiatives, with a focus on Machine Learning and Generative AI use cases. Partner with application teams, product owners, and internal stakeholders to design, guide, and implement model-driven solutions. Provide subject matter expertise throughout the model lifecycle, from concept through governance, approval, and deployment.
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.
- Serve as a technical advisor across AML Technology teams for Machine Learning and Generative AI initiatives, supporting multiple use cases and applications.
- Collaborate with application teams, vendors, and internal partners to design, develop, and deploy predictive and AI-driven models aligned with financial crime detection objectives.
- Provide expertise in model development, integration, and deployment — including supporting teams in configuring solutions, performing analysis, and enabling scalable implementations.
- Guide and influence best practices for Machine Learning and AI adoption within AML Technology, helping define standards, approaches, and reusable frameworks.
- Lead and contribute to model lifecycle activities, including development, testing, validation support, implementation, and post-deployment monitoring.
- Support development of required model documentation, including Model Definition Documents (MDD), and ensure alignment with internal standards and regulatory expectations.
- Partner with application teams to navigate AI governance processes, including model review, validation, risk assessment, and approval workflows required for production deployment.
- Build and support monitoring, performance evaluation, and controls for models and associated applications in production environments.
- Ensure adherence to security, compliance, and enterprise technology standards across all implemented solutions.
- Help solve complex technical and operational challenges related to model integration, data pipelines, and AI deployment in enterprise systems.
- Act as a mentor and resource for teammates, providing guidance on Machine Learning techniques, financial crime use cases, and technical implementation strategies.
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, Information Systems, or related field, or equivalent experience.
- Minimum of 3 years of experience in information security, systems analysis, or related technical field.
- Foundational knowledge of data security principles, system architecture, and security controls.
- Experience or exposure to system monitoring, data analysis, or risk identification activities.
Preferred Qualifications:
- Strong experience with Machine Learning techniques, model development, and deployment in enterprise environments.
- Exposure to Generative AI technologies and frameworks (e.g., LLMs, prompt engineering, model orchestration).
- Working knowledge of financial crimes / AML domain concepts (e.g., transaction monitoring, suspicious activity detection, fraud analytics).
- Experience supporting or contributing to model governance, validation, or regulatory processes.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Familiarity with open-source ML frameworks and tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms such as AWS, Azure, or GCP, including ML/AI services.
- Experience with data platforms, SQL, and data modeling.
- Familiarity with CI/CD pipelines and tools such as Git, Jenkins, Maven.
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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Type
Full-time
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Mid Level Senior Learning Consultant Jobs: Frequently Asked Questions
How do I get a mid level senior learning consultant job?
Position yourself by highlighting ownership, not just participation. Emphasize learning programs you designed and delivered independently, measurable outcomes you produced, and any stakeholder relationships you managed. Tailor your resume to show you can operate with limited direction, translate business needs into learning solutions, and consult with leaders rather than simply execute tasks handed to you.
Which companies hire mid level senior learning consultants?
Companies hiring mid level senior learning consultants right now include EY, Truist, and Instructure, based on current listings on Migrate Mate as of June 2026. Organizations at this hiring level tend to have established learning and development functions that need consultants who can run projects independently and advise business units directly.
Are there remote mid level senior learning consultant jobs?
Yes, remote and hybrid options are widely available at this level. About 33% of mid level senior learning consultant openings are remote or hybrid as of June 2026, reflecting how learning design and consulting work translates well to distributed settings. Search current listings and filter by work setting to find roles that match your preference.
How do I move up to a mid level senior learning consultant role?
Moving from entry level to mid level requires building a portfolio of projects you owned from needs analysis through evaluation, not just supported. Deepen your expertise in instructional design methodologies, learning technology platforms, and consulting skills like stakeholder management. Demonstrating measurable impact, such as improved performance metrics or reduced onboarding time, signals you are ready to operate at a higher level of ownership.
Which industries hire the most mid level senior learning consultants?
Mid Level senior learning consultant roles concentrate in Healthcare & Medical Services, Accounting & Auditing, and Distribution & Wholesale, based on current listings on Migrate Mate as of June 2026. These sectors tend to have complex workforces, regulatory training requirements, or rapid skill development needs that make experienced learning consultants a consistent hiring priority.