Director Informatics - Novitas - Remote, FL

Are you interested in joining a team of experienced healthcare experts and have the ability to shape and transform the healthcare delivery system? At our family of companies, everything we do is to help improve the lives of the nearly 12 million Medicare beneficiaries we serve and 700,000 health care providers who care for them. It is our goal to help create a better health experience for all consumers. Join our winning culture and help transform Medicare for the millions of people who rely on its services.

Benefits info:
* Medical, dental, vision, life and supplemental insurance plans effective the first day of the month following date of hire
* Short- and long-term disability benefits
* 401(k) plan with company match and immediate vesting
* Free telehealth benefits
* Free gym memberships
* Employee Incentive Plan
* Employee Assistance Program
* Rewards and Recognition Programs
* Paid Time Off and Paid Sick Leave

SUMMARY STATEMENT
The position will design, develop, implement and determine the methodology used to produce and use data analytics to meet or inform organizational objectives and to contribute to the overall profitability and strategic positioning of the company. The incumbent will identify, develop, and lead data analytic projects that measure, inform and improve departmental and company performance and meet customer needs/satisfaction within established budgets and project guidelines.

ESSENTIAL RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This list of essential job functions is not exhaustive and may be supplemented as necessary.

Design/Develop (50%)
* Work closely with IT and the operating companies' management to:
* Identify opportunities where data analytics can drive successful decisions, strategies and cross-functional enhancements across and within the companies.
* Work directly with operational management to develop and lead short and long-term projects to assist company leadership with turning identified opportunities and leadership inquiries or pursuits for information into successful decisions, strategies and cross-functional enhancements across and within the companies.
* Create the analytic foundation for the companies that will ensure their competitive advantage.
* Work with IT to develop the data architecture and infrastructure to support the various analytic requirements of the companies and their departments and to support the strategic direction for the organization's analytic capabilities.
* Work directly with operational management to develop best-in-class reporting and communicate data-driven insights to drive client strategy and decision making and lower operating costs.
* Develop specific, measurable client business objectives and the means to measure those objectives.

Analyze/Consult/Coach (40%)
* Work closely with operating companies' informatics/data analysis teams to ensure they are maximizing the use of their data and associated tools and achieving desired levels of performance.
* Coach and provide feedback to informatics employees and client groups to elevate the performance level of individual contributors, leaders and teams.

Other (10%)
* Develop and initiate projects to produce, represent and communicate data analytics across the companies.
* Build trusting and collaborative relationships with leadership and individual contributors within operations and IT at all levels.
* Obtain and demonstrate continuing and current knowledge of the companies' business, departmental functions and functional or potential inter-relations.
* Recommend and manage proprietary tools, vendors and/or third-party technologies to report and analyze data.
* Ensure the quality and timeliness of measurement deliverables to meet management/leadership expectations and identify measurement needs.
* Educate and train client groups and informatics employees as needed.
* Develop presentations and other communications that are clear, compelling and persuasive.

Performs other duties as the supervisor may, from time to time, deem necessary.

REQUIRED QUALIFICATIONS
* Bachelor's degree in related field
* Master's degree or relevant experience/certification equivalent in area(s) of health informatics, public health (MPH), Data Science/Analytics, Biostatistics, Healthcare Administration (MHA), Business Analytics/MBA (healthcare focus), Computer Science (healthcare analytics experience required)
* Healthcare domain knowledge in areas such as claims data. Quality measures, value-based care modules, utilization analytics, risk adjustment, population health analytics, clinical workflows and revenue cycle basics
* Data and analytics knowledge such as SQL (advanced), data warehousing concepts, Extract, Transform, Load (ETL) pipelines, data governance and data quality frameworks, BI tools (i.e., Power BI, Tableau/Looker, etc.), Predictive modeling concepts, basis statistics, Key Performance Indicator (KPI) development and matrix design
* 7years' related work experience including 5 years. direct supervisory/project management lead or other leadership experience
* Demonstrated understanding of the latest trends and developments in analytics
* Strong analytical background working in data management
* Strong communication skills and the ability to translate complex models in easy to understand terms
* Proven ability to manage and teach others
* Ability to complete multiple assignments in a compressed timeframe within a dynamic organizational environment

PREFERRED QUALIFICATIONS
* MBA or advanced analytical degree
* In-depth understanding of Medicare
* Technical Expertise:
o Advanced knowledge of machine learning, statistical modeling, predictive analytics, and optimization techniques.
o Expertise with modern ML frameworks (e.g., PyTorch, TensorFlow, ScikitLearn, XGBoost, LightGBM).
o Handson experience with NLP, deep learning, generative AI, or large language models (LLMs).
o Strong understanding of data engineering concepts and best practices (e.g., ETL/ELT, MLOps, feature stores, model monitoring).
o Track record of architecting and delivering scalable AI/ML solutions in production.
* Data Ecosystem & Tools
o Proficiency with modern data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Azure Synapse).
o Strong SQL experience and comfort with distributed query engines (e.g., DuckDB, Spark, Presto).
o Experience with cloud ecosystems (AWS, Azure, GCP), particularly managed ML tools and pipelines.
o Familiarity with model deployment frameworks (e.g., FastAPI, MLflow, ONNX, Kubernetes, Docker).

Background Investigation: If you are selected for this position, you must undergo a pre-employment Background Investigation, Drug Screen, and Identity Proofing documentation must be cleared prior to hire. Most positions are subject to additional Identity Proofing, Fingerprinting and additional Background Investigation screening conducted by the Federal Government to be granted Enterprise User Administration (EUA) system logical access after you begin your employment. Your continued employment is contingent upon the outcome of the complete additional screening criteria required for the position which must find that you meet the applicable government customer's requirements (e.g., suitable for access to CMS information and information systems), as well as any additional investigation which may be required throughout your employment. If you are found not suitable, your employment may be subject to corrective action, up to and including immediate termination of employment.

Identity Documentation: You must have access to a current and unrestricted REAL ID, U.S. Passport, U.S. Passport Card, Foreign Passport, or U.S. Permanent Residency Documents. Note: Employment Authorization Cards (EAD) are not a substitute for Visas or U.S. Permanent Resident Cards.