Senior Director of Cloud Data Architecture WS
Listed on 2026-09-04
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IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Cloud Computing: Infrastructure & Operations
It’s an exciting time to join the Well Sense Health Plan, a growing regional health insurance company with a 25-year history of providing health insurance that works for our members, no matter their circumstances.
Job SummaryThe Sr. Director of Cloud Data Architecture is a deep technical leader with hands-on experience in all aspects of data architecture and infrastructure with a specific focus on creating and managing cloud-based data architectures. Ideal candidate will have at least 15 years of experience in advanced data analytics and 8 years of cloud-based data management. Good business acumen in the health plan and health care in general is critical for this role.
The Sr. Director will not only be able to develop a data architecture strategy but provide a roadmap for transitioning from Well Sense’s current data warehouse capabilities to a new cloud-based data infrastructure.
Developing and/or enhancing the strategic architecture for healthcare data to provide state of the art data management processes, data quality, technology, reporting and analytics will be fundamental to this role. This person will lead Well Sense’s efforts to aggregate and modernize all the health data and convert it into actionable insights and actionable analytics, and to implement new enterprise processes and technologies to ensure compliance to healthcare regulatory requirements.
In addition, the Sr. Director role will collaborate with the leaders across the organization to leverage cross-functional data and to drive strategic decision-making at the highest levels of the company. This role ensures the integrity, availability, and security of healthcare payer data, while also championing the use of data-driven insights to optimize operational efficiency and inform strategic decisions.
Our Investment In You- Full-time remote work
- Competitive salaries
- Excellent benefits
- Strategic Leadership: In collaboration with Senior Leadership, establish and drive Well Sense’s overall enterprise data strategy, in line with the organization’s vision, leveraging best practices in cloud-based technologies. Take Well Sense data and analytics capabilities to an entirely new level of scale, effectiveness, and sophistication by leveraging industry standards and frameworks.
- Data Governance: Establish and enforce policies, standards, and procedures for the enterprise-wide data lifecycle to ensure data accuracy, consistency, security and compliance with their regulatory bodies; CMS, DHHS, and EOHHS. Establish Data Catalog to ensure standardization of definitions, classification of sensitive and PHI data, and providing data lineage.
- Data Quality: Ensure data within Well Sense repositories are of the highest level of quality to pass regulatory requirements. Additionally, provide the ability to monitor and remediate data quality issues. Work closely with data stewards and subject matter experts for continuous improvement of data quality.
- Team Management: Recruit, lead, mentor, and grow a high-performing team of data architects, to support data management and analytics activities. Coach and develop staff, ensuring progressive growth and development. Provide an inclusive environment, lead by example, and communicate and work in an open and collaborative style.
- Data Infrastructure & Architecture: Oversee the evaluation, selection, design, implementation, and maintenance of the data infrastructure, including data lake, data marts, and other data repositories being used for providing insight and data delivery to regulators and other internal/external stakeholders.
- Budget and Cost Estimation: Work with the Vice President, Enterprise Data Analytics to determine estimated costs of setup and maintenance of the data infrastructures, including setup costs, monthly recurring charges, and labor costs for implementation and support.
- Advanced Analytics: Be a prolific champion of the use of data analytics, machine learning, artificial intelligence, and predictive modeling to provide insights that help to drive decision-making and innovation.
- Collaboration: Work closely with cross-functional leaders to ensure data needs are understood and met, data…
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