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Company Overview
A leading healthcare technology organization is seeking a Director of Data Products & Engineering to lead its enterprise data strategy and solutions. The company focuses on leveraging data and analytics to transform healthcare operations, drive innovation, and deliver measurable business value. It partners with cross-functional teams and external vendors to ensure data assets are scalable, secure, and aligned with strategic priorities.
Summary
The Director of Data Products & Engineering is a strategic and visionary leader responsible for defining and executing the enterprise data products and engineering strategy. This role oversees the full data lifecycle, including architecture, engineering, operations, and governance, while building and mentoring high-performing teams to deliver innovative, value-driven data solutions.
Responsibilities
Develop and execute a unified, forward-looking vision for data products and engineering aligned with strategic business priorities
Lead the creation of scalable, cloud-native data products that support real-time processing for enterprise applications, analytics, AI/ML, and self-service data consumption
Champion enterprise-wide data strategy and promote a data-driven culture focused on evidence-based decision making
Build, mentor, and lead a world-class team of data product managers and engineers, fostering innovation and operational excellence
Establish and maintain a robust data governance framework to ensure data quality, security, privacy, and compliance
Define and manage the product and technical roadmap for all data assets, integrations, and services
Translate business needs into clear data usage, dependencies, and measurable outcomes
Lead global teams in designing, implementing, and maintaining scalable data pipelines, ensuring data quality, reliability, and observability
Oversee DevSecOps, quality engineering, release management, and change management processes for data assets
Recruit, develop, and retain top talent across data engineering and product management teams
Manage software and services vendors to deliver enterprise-wide data and analytics capabilities
Qualifications
12+ years of experience in data engineering, data architecture, or related fields, including 5+ years in a senior leadership role
Proven success in leading and scaling data teams in complex, multi-product organizations
Strong expertise in modern data stack technologies (e.g., Snowflake, Databricks, Kafka, dbt, Airflow) and cloud-native platforms (AWS, GCP, Azure)
Proficiency in programming languages such as SQL and Python
Experience building data and integration solutions such as EDW, operational data stores, NoSQL databases, ETL/ELT, and caching
Demonstrated application of product management principles to data, including roadmap development, requirements definition, and stakeholder management
Exceptional leadership, communication, and executive influencing skills, with the ability to explain complex technical concepts to non-technical audiences
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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