Training and QA Optimization Strategist

Claritev•New York, NY

About The Position

The Training & QA Optimization Strategist is responsible for designing and executing technical, analytical, and strategic initiatives that enhance the effectiveness, scalability, and innovation of the Training and Quality Assurance departments. This role blends programming, data analytics, and strategic planning to drive operational improvements, support automation, and deliver actionable insights. The strategist owns many training environments, reporting infrastructure, and AI strategy for both departments, and serves as a key enabler of continuous improvement.

Requirements

Bachelor's degree preferred; equivalent experience considered.
5+ years of experience in training, QA, data analytics, or healthcare operations.
Proficiency in programming languages (Python, C#, Visual Basic) reporting tools (Power BI, SQL, Oracle) and low code platforms (Power Apps, Power Automate, SharePoint Framework)
Strong understanding of data governance, automation, and AI applications.
Basic understanding of statistical models and concepts, with ability to apply them practically in QA methodology and performance analysis
Experience in strategic planning, process improvement, and cross-functional collaboration.
Excellent communication, analytical, and problem-solving skills.
Ability to manage multiple priorities and adapt to changing needs.
Familiarity with healthcare operations and compliance standards (e.g., HIPAA)
Individual in this position must be able to work in a standard office environment which requires sitting and viewing monitor(s) for extended periods of time, operating standard office equipment such as, but not limited to, a keyboard, copier and telephone

Nice To Haves

Experience with Lean Management principles, Six Sigma, or other structured process improvement methodologies is a plus.
Required licensures, professional certifications, and/or Board certifications as applicable

Responsibilities

Build and maintain learner sandbox environments, including programmatic creation and duplication of training cases.
Automate updates to training data fields and test work validation processes.
Generate and validate practice work using tools such as Excel, MS Forms, and custom scripts.
Build automated notifications based on training and/or QA activity.
Create and maintain learner, trainer, and course success metrics using test work outputs.
Develop and manage a comprehensive reporting program for Training department.
Track and analyze metrics such as classroom hours, document updates, learner graduation rates, and feedback scores.
Build dashboards and reporting tools using Excel, Power BI, SQL, Oracle, Python, C#, and Visual Basic.
Ensure data accuracy, consistency, and compliance across all reporting systems.
Interpret data trends to inform decision-making and identify opportunities for improvement.
Own and implement the AI strategy for both departments, identifying opportunities for automation and efficiency.
Use training and QA data to drive workflow improvements and strategic insights.
Develop scalable staffing and cost models to support departmental growth and sustainability.
Lead process improvement initiatives across key workflows in Training and QA.
Benchmark internal practices against industry standards and research external trends to inform strategy.
Conduct cost-benefit analyses to quantify the impact of training and QA initiatives.
Partner with trainers, QA staff, and department leaders to translate insights into actionable improvements.
Support change management efforts by training staff on new tools and processes, gathering feedback, and iterating on solutions.
Facilitate stakeholder engagement and maintain feedback loops to ensure alignment and adoption.
Own and manage multiple training and QA environments, including sandbox setup, data integrity, and system updates.
Maintain reporting infrastructure and ensure tools are optimized for departmental needs.
Assist QA teams with calibration efforts to ensure consistency in scoring and evaluation.
Lead initiatives to streamline QA processes and workflows (e.g., scoring templates, automation of audit sampling, error identification).
Evaluate AI models used in QA processes for performance, bias, and reliability.
Develop and implement new QA scoring methodology, potentially in partnership with an external vendor.
Apply statistical models and concepts to ensure practical, scalable implementation across all QA-audited areas.
Serve as the subject matter expert for the methodology, supporting education and adoption among QA leadership.
Select, develop, and evaluate staff to ensure the efficient operation of department.
Collaborate, coordinate, and communicate across disciplines and departments.
Ensure compliance with HIPAA regulations and requirements.
Demonstrate Company's Core Competencies and values held within.
Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk Role.
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

Benefits

Medical, dental and vision coverage with low deductible & copay
Life insurance
Short and long-term disability
Paid Parental Leave
401(k) + match
Employee Stock Purchase Plan
Generous Paid Time Off – accrued based on years of service
10 paid company holidays
Tuition reimbursement
Flexible Spending Account
Employee Assistance Program
Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits