Head of Data Architecture and Engineering at Mindoula Health

Mindoula is a next generation population health management company that identifies, engages, and serves populations with complex behavioral health, medical, and social challenges across the continuum of care. By using technology to “scale the human connection,” Mindoula helps health plans, health systems, hospitals, and provider groups extend their reach and achieve their value-based service delivery goals. At Mindoula, we address the full range of behavioral health challenges. We deploy tech-enabled teams of case managers, care managers, community health workers, peer support specialists, therapists, and psychiatrists to provide 24/7 support to even the most complex and underserved behavioral health populations.

The Vice President of Data Architecture, Engineering, and Management at Mindoula will play a pivotal role in driving the company's data platform strategy, ensuring the availability and quality of data to optimize decision-making, business processes, and overall performance. This person will lead the development, implementation, and management of data platform initiatives to facilitate innovation and growth in this dynamic and impactful field. They will partner with stakeholders to shape and lead the data architecture, engineering, and management functions and team, enabling Mindoula to deliver on its industry-leading goals and objectives.

Location...

This is a 100% remote position that must be located in the United States. Mindoula is not able to provide any type of employment sponsorship at this time.

What you'll do...

Data Architecture & Engineering

• Develop and execute the data architecture & engineering roadmap; partner with peers in product, engineering, data science, AI, and BI to deliver a unified, integrated technology strategy & roadmap to Mindoula members, partners, and business stakeholders.
• Design and maintain robust, scalable data pipelines to support ingestion, integration, and transformation of healthcare data from a variety of internal and external sources.
• Complete the transition to a modern data stack (e.g., AWS-based lake house) and ensure best practices in data orchestration (e.g., dbt, Dagster, Airflow) for reliable, high-quality data delivery.
• Identify, build business cases, and implement additional, appropriate data technologies and tools to support data-driven initiatives.

Data Management & Governance

• Implement data management best practices, including data cleansing, data enrichment, and data lifecycle management.
• Implement enterprise data governance tools and frameworks to drive consistent business definitions, data lineage, and data quality monitoring at scale.
• Collaborate with the information security and legal teams to establish data privacy and security protocols, achieving / maintaining HiTrust certification and ensuring compliance with HIPAA and other relevant data protection regulations and healthcare standards.

Team Leadership & Stakeholder Engagement

• Cultivate and lead a high-performing data architecture, engineering, and management team, fostering a culture of collaboration, accountability, innovation, and continuous learning.
• Serve as player/coach, contributing directly while providing hands-on guidance and mentorship to team members.
• Work directly with cross-functional teams (clinical operations, product, analytics/data science) to translate business needs into scalable data solutions.
• Collaborate with all members of executive leadership, department heads, and cross-functional teams to align data platform initiatives with business goals and objectives.

• Perform other duties and projects as assigned.

What you'll need...

• A bachelor's or master's degree in computer science, engineering, information technology, or a related field. An advanced degree is preferred.
• Minimum of 10 years of experience in data architecture, engineering, management, and governance in a complex organization.
• In-depth knowledge of data architecture, data modeling, data integration, and data governance principles.
• Significant hands-on experience with modern data platforms (AWS), including real-time streaming, data lakes, and data lake house architectures.
• Track record of delivering enterprise-grade data pipelines with technologies like Spark, dbt, Airflow/Dagster, or equivalent
• Familiarity with healthcare data, behavioral health data, or electronic health records (EHRs) is highly desirable.
• Strong understanding of data privacy regulations and HIPAA/HITRUST compliance requirements.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders.
• Proven leadership abilities, capable of motivating and inspiring a small, agile data engineering/architecture team to achieve strategic goals.
• Problem-solving mindset with a focus on continuous improvement and innovation.