VP Engineering (Data Ingestion)

Overview:

We are seeking an experienced and visionary vice president of data ingestion engineering to lead our engineering team and be responsible for one of the most critical products in our portfolio. Our data ingestion is a sophisticated data ingestion solution within the Cloudera ecosystem, responsible for processing 50% of the medical claims in the country. This role demands a leader with deep technical expertise in big data, Cloudera, Master Data Management, and modern data architecture approaches such as data fabric and data mesh. Additionally, experience in healthcare data management, particularly with FIHR and HL7 standards, is crucial. The VP will also oversee the integration of advanced reporting and analytics using the latest AI/ML tools from downstream teams. 

• Leadership & Management: 

• Lead and manage a team of full-stack developers and Master Data Management (MDM) developers, ensuring the successful ingestion, normalization, and processing of vast amounts of healthcare data, particularly medical claims. 

•  Oversee the entire Cloudera stack, ensuring that data ingestion operates efficiently and effectively, meeting all performance, scalability, and security requirements specific to healthcare data. 

•  Drive the vision and strategic direction of the NILE product, aligning with broader company goals and the evolving needs of the healthcare data landscape, incorporating modern data architecture principles such as data fabric and data mesh. 

•  Collaborate closely with AI/ML teams downstream to ensure that data is structured and available for advanced analytics and reporting, leveraging the most modern BI, AI, ML tools and technologies. 

• Technical Oversight: 

•  Ensure seamless ingestion and conversion of diverse healthcare data formats and structures from multiple sources into the Global Data Format (GDF), adhering to standards such as FIHR and HL7. 

•  Lead the architecture and development efforts for data ingestion, focusing on scalability, reliability, and innovation within the Cloudera ecosystem, with an emphasis on healthcare data requirements and modern data architectures like data fabric and data mesh. 

•  Drive initiatives to enhance data storage, retrieval, and analytics capabilities, leveraging the full power of the Cloudera stack, particularly for healthcare data analytics, and ensuring seamless integration with AI/ML models and tools. 

•  Oversee Master Data Management processes to ensure healthcare data is normalized and ready for use by downstream developers and analysts, ensuring compliance with FIHR and HL7 standards. 

•  Collaborate with AI/ML teams to implement advanced reporting and data analytics, ensuring data infrastructure supports cutting-edge innovations in healthcare data analysis. 

• Strategic Vision: 

• Develop and execute strategic initiatives that advance data ingestion capabilities, including exploring new technologies and methodologies in big data, cloud computing, data fabric, data mesh, and AI/ML, with a specific focus on healthcare data. 

• Act as a thought leader within the company, providing insights and guidance on data-related strategies, similar to the role of a Enterprise Data strategist, with a particular focus on healthcare. 

• Ensure the data engineer product aligns with the latest industry standards, regulatory requirements, and technological advancements in healthcare, including FIHR, HL7, data fabric, data mesh, and AI/ML integration. 

• Stakeholder Engagement: 

• Work closely with healthcare clients, partners, and internal teams to understand data requirements, ensuring NILE meets and exceeds expectations in processing and managing healthcare data. 

• Represent data ingestion in discussions with senior leadership, providing updates on product performance, challenges, and opportunities, particularly in relation to healthcare data management, advanced analytics, and AI/ML integration. 

• Hire, develop, coach, lead and retain top-tier talent, with a focus on building and improving a team and culture that is able to assist in employing best in class practices to support and drive high levels of internal and external customer satisfaction. Required 

• Complete all responsibilities as outlined in the annual performance review and/or goal setting. Required 

• Complete all special projects and other duties as assigned. Required 

• Must be able to perform duties with or without reasonable accommodation. Required 

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. 

• Advanced certifications or training in big data, cloud computing, or data management, particularly in healthcare, is a plus. 

• Technical Expertise – 

• Prior experience in the healthcare industry, particularly with medical claims, data analytics, FIHR, HL7 standards, and the integration of AI/ML tools. 

• Prior experience in a role with similarities to a Chief Data Officer, where strategic vision and data governance were key responsibilities. 

• Extensive experience with Hadoop and Cloudera, including hands-on knowledge of the full Cloudera stack. 

• Proven experience in managing big data solutions, particularly in environments dealing with large-scale data ingestion and processing of healthcare data. 

• Strong understanding of Master Data Management (MDM) and its application in data normalization, with a focus on healthcare. 

• Familiarity with healthcare data standards such as FIHR and HL7, and their implementation in big data solutions. 

• Experience with modern data architecture principles, including data fabric and data mesh, and their application in healthcare data environments. 

• Understanding of AI/ML tools and their integration into data pipelines for advanced analytics and reporting. 

• Leadership Experience -  

• Demonstrated ability to lead and inspire technical teams, including full-stack developers and MDM specialists. 

• Experience in setting and executing strategic visions for data-centric products, especially within the healthcare industry. 

• Proven track record of successfully managing complex engineering projects from inception to completion, with a focus on modern data architecture and AI/ML integration. 

• Communication and Collaboration -  

• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders, particularly in the healthcare domain. 

• Strong collaboration skills, with experience working cross-functionally with product management, data analytics, AI/ML teams, and other key stakeholders, especially in healthcare. 

Mental Requirements: 

• Communicating with others to exchange information. 

• Problem-solving and thinking critically. 

• Interpreting data. 

• Making timely decisions in the context of a workflow. 

• Applying established protocols in a timely manner. 

Working Conditions and Physical Requirements: 

• Remaining in a stationary position, often standing or sitting for prolonged periods. 

• Repeating motions that may include the wrists, hands and/or fingers. 

• Must be able to provide a dedicated, secure work area. 

• Must be able to provide high-speed internet access / connectivity and office setup and maintenance. 

• No adverse environmental conditions expected. 

Base compensation ranges from $180,000 to $230,000. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for commission.

This role is eligible for discretionary bonus consideration

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 11/12/2024

Applications are assessed on a rolling basis. We anticipate that the application window will close on 01/12/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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