Senior Director, Data Strategy and Operations

What you'll do:

• Strategic Leadership: Develop and execute a unified data strategy encompassing AI/ML initiatives, data governance, and management to achieve Quest’s mission and objectives.
• Team Development: Build, mentor, and manage a high-performing team of data professionals, fostering a culture of innovation and continuous learning.
• Stakeholder Engagement: Collaborate with Product, Engineering, and Client Services to optimize data usage, enhance outcomes, and drive efficiencies.
• Analytic Architecture and Integration: Oversee the design and application of data solutions, including AI/ML models, to address complex challenges in provider and payer data management, driving product sales and utilization growth.
• Data Governance and Compliance: Develop policies and procedures for data management in compliance with legal and regulatory requirements.
• Data Quality Management: Implement processes for data quality improvement and monitoring to ensure accuracy and reliability.
• Advanced Analytics and Business Intelligence: Leverage data analytics, machine learning, and AI to derive actionable insights for informed decision-making.
• Data Literacy and Culture: Promote a data-driven culture and enhance data literacy across the organization to empower teams in leveraging data effectively.
• Innovation in Data Technologies: Stay abreast of emerging data technologies and trends, driving innovation and adoption within the organization.
• Ethical AI and Responsible Data Use: Implement ethical AI guidelines and practices to ensure responsible data usage.
• Sustainable Data Practices: Incorporate eco-friendly data storage and processing methods into data operations.
• Vendor Management: Explore new data sources, lead source validation, participate in contracting terms and devise integration plans.

What you will need:

• Bachelor’s degree in computer science, statistics, bioinformatics, business, mathematics, or a related field.
• Minimum of 10 years of leadership experience focused on data strategy, management, and governance in healthcare/life sciences.
• Proven record in designing and implementing data solutions, including AI/ML models, within the healthcare sector.
• Strong understanding of healthcare-related data structures, modeling, and governance.
• Familiarity with healthcare regulations and standards related to data usage and privacy.
• Experience with enterprise data architecture design and deployment.
• Proficiency with technology solutions supporting data exchange, governance, storage, analytics, and visualization.
• Knowledge of cloud-based data platforms and technologies.
• Excellent communication and people skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Demonstrated experience in driving cultural change towards a data-driven mindset.
• Strong project management and organizational skills.
• Ability to lead cross-functional teams in a healthcare setting.


• Preferred Qualifications:
• Advanced degree in a related field.
• Certifications in data management or related areas.
• Experience with emerging commercial and open-source technologies such as Databricks and Snowflake.