Vice President, Analytics Life Cycle Management

Gainwell Technologies LLC

2d•$192,000 - $274,300

About The Position

Great companies need great teams to propel their operations. Join the group that solves business challenges and enhances the way we work and grow. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values your contributions and puts a premium on work flexibility, learning, and career development. Gainwell Technologies is seeking an innovative and experienced Vice President of Analytics Life Cycle Management to lead the strategy, development, deployment, optimization, and ongoing performance measurement of analytics capabilities supporting our Pre- and Post-Pay Cost Containment solutions. This executive will own the full analytics life cycle—from data acquisition, model design, rules development, refinement, and validation, to operationalization and continuous performance monitoring. The ideal candidate brings deep expertise in healthcare analytics, advanced modeling, and rules-based detection frameworks, along with a proven ability to drive cross-functional alignment between data engineering, product, audit/recovery, and payment integrity operations. The VP will ensure that analytics-driven insights and logic consistently deliver measurable cost savings, operational efficiency, and high performance for our government and payer clients. Why Join Gainwell Technologies? As VP of Analytics Life Cycle Management, you will shape the analytical engines powering impactful cost containment solutions. You will lead teams that develop and optimize analytics essential to improving healthcare outcomes, strengthening program integrity, and delivering value to taxpayers and payer clients nationwide—all while partnering with a mission-driven organization focused on innovation and excellence. The pay range for this position is $192,000.00 - $274,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

Requirements

10+ years of leadership experience in analytics, data science, payment integrity, or related fields.
Deep domain knowledge of healthcare claims, eligibility data, coding structures, reimbursement, and payer business rules.
Experience leading analytics life cycles including rules engines, predictive models, anomaly detection, machine learning, or scoring algorithms.
Strong understanding of data pipelines, data structures, and integration with data engineering and data management teams.
Proven track record of improving model or rule accuracy, savings yield, and operational efficiency.
Strong communication skills with the ability to translate analytical logic into business value.
Demonstrated ability to lead and inspire technical teams.
Ability to travel up to 15% domestically.

Nice To Haves

Experience in Medicaid, Medicare, or commercial payer payment accuracy or cost containment programs.
Background with analytical platforms such as Databricks, Python, R, SQL, Snowflake, Azure, or AWS.
Experience integrating analytics into operational systems and customer reporting.
Familiarity with regulatory requirements for healthcare data, privacy, and model governance.

Responsibilities

Define the enterprise strategy for analytics life cycle management across pre- and post-pay cost containment solutions.
Align analytical capabilities with client outcomes, new product development, and payment integrity goals.
Drive innovation in detection logic, predictive models, machine learning, and rules-based engines to improve savings and accuracy.
Own the end-to-end life cycle for all analytics—ideation, design, development, testing, deployment, monitoring, optimization, and retirement.
Establish consistent methodologies for rules creation, edits, models, scoring frameworks, and performance benchmarking.
Ensure all analytics are supported by accurate documentation, reproducible methods, and clear versioning controls.
Partner closely with Data Management, Data Engineering, and Architecture teams to ensure analytics requirements align with data structures and availability.
Collaborate with technology teams on analytical platform design, data pipelines, and tools enabling scalable execution.
Develop KPIs, scorecards, dashboards, and monitoring frameworks for ongoing analytics performance measurement.
Lead root-cause analysis, model recalibration, rule refinement, and enhancements based on operational outcomes.
Ensure accuracy, precision, and compliance with contractual and regulatory requirements.
Work with Audit, Clinical, Operations, and Product teams to validate analytics outputs and align detection logic with workflows.
Support Sales and Client Services by producing new analytics concepts to present to clients, communicating value drivers and participating in client discussions and roadmap presentations.
Preside over the client analytic concept presentation and approval process, coordinating as required across sales, client management and operations to ensure high levels of client approval following initial presentation.
Serve as senior strategic operations advisor to partner with in-house AI team to drive improvements in speed, breadth and reach of new analytic ideation process and analytic yields.
Serve as a senior advisor for new client implementations and analytics onboarding.
Lead a high-performing team of analytics managers, data scientists, statisticians, rules/business analysts, clinical SMEs.
Foster a culture of scientific rigor, innovation, operational excellence, and continuous improvement.
Oversee staffing, budgeting, resource planning, and professional development for analytics personnel.