IQ Workforce is a leading recruiting firm for the global analytics & data science community.

Our client partner, CVS Health, is a health care innovation company with a simple and clear purpose: Helping people on their path to better health.

CVS Health is recruiting an experienced and innovative Director to join their Enterprise Analytics organization focusing on prescription benefit management and specialty pharmacy areas of the enterprise. In this important role supporting one of the core functions of their business, you will work closely with multiple business partners, leading a group of analytics professionals (6-10), to deliver a range of analytic solutions to help enable data-driven decision-making to influence patient, caregiver, and prescriber experience and outcomes related to CVS Health programs and services.

The Director will focus on analytics in support of cross-functional set of initiatives influenced by leaders from PBM Product Innovation, Member Engagement Strategy, and Operational Process Improvement to help design, assess, and improve programs and services for PBM members and patients. You will develop analytic solutions that include assessment and stratification of patient populations, their needs, and opportunities to improve convenience and cost efficiency of PBM member-centric services.

Responsibilities include:
Partner with product innovation and management and member engagement strategy leaders, as well as with clinical, operations, digital, and sales and marketing partners to identify existing and evolving business needs which can be effectively solved with a variety of analytic approaches.

Engage with executive leadership to identify areas where analytics can drive business value, frame business problems into analytic questions, and translate analytics into business value.

Develop and execute a prioritized analytic strategy to address the business needs and partner with analytic leaders from the Enterprise Analytics organization and IT as needed to deliver on the strategy.

Partner with advanced analytics leaders to envision, define and deliver advanced analytic solutions to drive enhanced utilization management outcomes, such as case volume forecasting, automated outlier detection, predictive modeling based on artificial intelligence and machine learning techniques, population segmentation and risk stratification.

Deliver analytic solution methodologies and capabilities to enable automated insight generation and reporting, such as identification and closure of data gaps, metrics and measurement methodology development, design and prototyping of self-service reporting and data visualization solutions, and adhoc analytic studies.

Leverage core pharmacy and medical claims data as well as identify and utilize other data sources (EMR, lab results, clinical data and notes, consumer purchasing data, digital engagement data, etc.) to provide actionable and relevant and timely analytic insight.

Recruit, lead and develop a staff of Master’s and PhD level analytics professional, defining team and individual goals, managing performance and providing on-boarding support and ongoing mentorship.

Qualifications:
10-15 years of progressive experience in the analytics field.

Excellent ability to establish and maintain collaborative relationships with analytic and non-analytic business partners, including executive leadership, in order to elicit business needs and formulate, propose and refine analytic solutions in order to meet the business needs and to drive efficiency and effectiveness improvements and business value.

Experience building and leading project teams in a matrix environment.

Proven team leadership and management experience, with ability to recruit, engage and develop staff with advanced degrees and diverse backgrounds and in different geographic locations, ability to allocate resources based on priority and skill level, strengths, and area of expertise; ability to train and mentor junior colleagues.

Solid understanding and hands-on experience with a variety of analytic processes and techniques, including health economics outcomes research, population health, measurement methodologies development, hypothesis testing, statistical significance testing, modeling and machine learning.

Experience with patient segmentation and stratification, personalization of outreach, database marketing, and multivariate and A/B testing concepts and measurement.

Solid understanding and hands-on experience working with large data sources, particularly administrative claims, digital engagement, and clinical program data, focusing on efficient data extraction from large databases, data manipulation, and setting up optimized summary data layers.

Extensive hands-on experience with SAS, SQL, Python, R, Tableau and other data, statistical and data visualization tools and techniques, and ability to understand and adapt emerging analytic tools and solutions into the analytic standard operating procedures.

Excellent written and oral communication and data presentation skills, with ability to tailor the communication style to the right audience, from the analytic professionals to the senior business leaders.