Director, Data Solutions

at  Titan Healthcare Management Solutions

POSITION SUMMARY

Under the general direction of the Chief Operating Officer the Director of Data Solutions is responsible for management and oversight of a high-quality, effective, best practices revenue cycle integrity program to ensure revenue integrity, and compliance with applicable rules and regulations and all pertaining internal policies and procedures.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent combination of education and experience; Major in Statistics, Mathematics, Actuarial Science, Health Care Management, Finance, Economics; or other related fields
• Minimum of seven (7) years of experience in a health care, claims, revenue cycle, quality, compliance, audit, provider education, System/Data Analytics, or related field
• Minimum of five (5) years of experience in supervisory, project management and/or managerial responsibilities required, preferably in a healthcare environment.
• Customer and Client service experience
• Excellent oral and written communication skills
• Working knowledge of computer skills and Microsoft Windows/Word/Excel
• Must have a working knowledge of health care documentation, coding and billing requirements and federal health care regulatory requirements.
• Ability to demonstrate broad and comprehensive knowledge of theories, concepts, practices, and policies with the ability to use them in complex and/or unprecedented situations across multiple functional areas
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• Develop and oversee all functions of the data team.
• Lead data team to Innovate and develop analytics and data strategies to meet business goals to address customer needs and opportunities.
• Develop repeatable processes for data to be filtered and used to find ongoing revenue opportunities for Titan’s clients.
• In collaboration with Analytics, Quality Management, Claims and others, execute on the development and management of Provider KPI dashboard reporting.
• Oversee all data migrations, data engineering and data processing.
• Lead efforts to develop scalable, innovative approaches to extracting, managing, and analyzing data from customers.
• Identify necessary data sets, and clean/prepare data for use.
• Evaluate large volumes of complex data, applying exploratory data analysis, diagnostic analysis, causal analysis, inferential statistical analysis.
• Create roadmap for implementation of data and analytics strategy, including infrastructure design and development of data models.
• Work alongside software developers, software engineers, machine learning engineers, data engineers, AI architects and subject matter experts to translate algorithms into commercially viable products and services.
• Experiment and develop/confirm hypothesis with data.
• Lead development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Offer expertise in applying data visualization techniques to tell the story of the data, leveraging data to inform decision-making, including designing and standardizing internal and external reporting.